File size: 83,277 Bytes
6fa4bc9
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
1001
1002
1003
1004
1005
1006
1007
1008
1009
1010
1011
1012
1013
1014
1015
1016
1017
1018
1019
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029
1030
1031
1032
1033
1034
1035
1036
1037
1038
1039
1040
1041
1042
1043
1044
1045
1046
1047
1048
1049
1050
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
1061
1062
1063
1064
1065
1066
1067
1068
1069
1070
1071
1072
1073
1074
1075
1076
1077
1078
1079
1080
1081
1082
1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
1094
1095
1096
1097
1098
1099
1100
1101
1102
1103
1104
1105
1106
1107
1108
1109
1110
1111
1112
1113
1114
1115
1116
1117
1118
1119
1120
1121
1122
1123
1124
1125
1126
1127
1128
1129
1130
1131
1132
1133
1134
1135
1136
1137
1138
1139
1140
1141
1142
1143
1144
1145
1146
1147
1148
1149
1150
1151
1152
1153
1154
1155
1156
1157
1158
1159
1160
1161
1162
1163
1164
1165
1166
1167
1168
1169
1170
1171
1172
1173
1174
1175
1176
1177
1178
1179
1180
1181
1182
1183
1184
1185
1186
1187
1188
1189
1190
1191
1192
1193
1194
1195
1196
1197
1198
1199
1200
1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1213
1214
1215
1216
1217
1218
1219
1220
1221
1222
1223
1224
1225
1226
1227
1228
1229
1230
1231
1232
1233
1234
1235
1236
1237
1238
1239
1240
1241
1242
1243
1244
1245
1246
1247
1248
1249
1250
1251
1252
1253
1254
1255
1256
1257
1258
1259
1260
1261
1262
1263
1264
1265
1266
1267
1268
1269
1270
1271
1272
1273
1274
1275
1276
1277
1278
1279
1280
1281
1282
1283
1284
1285
1286
1287
1288
1289
1290
1291
1292
1293
1294
1295
1296
1297
1298
1299
1300
1301
1302
1303
1304
1305
1306
1307
1308
1309
1310
1311
1312
1313
1314
1315
1316
1317
1318
1319
1320
1321
1322
1323
1324
1325
1326
1327
1328
1329
1330
1331
1332
1333
1334
1335
1336
1337
1338
1339
1340
1341
1342
1343
1344
1345
1346
1347
1348
1349
1350
1351
1352
1353
1354
1355
1356
1357
1358
1359
1360
1361
1362
1363
1364
1365
1366
1367
1368
1369
1370
1371
1372
1373
1374
1375
1376
1377
1378
1379
1380
1381
1382
1383
1384
1385
1386
1387
1388
1389
1390
1391
1392
1393
1394
1395
1396
1397
1398
1399
1400
1401
1402
1403
1404
1405
1406
1407
1408
1409
1410
1411
1412
1413
1414
1415
1416
1417
1418
1419
1420
1421
1422
1423
1424
1425
1426
1427
1428
1429
1430
1431
1432
1433
1434
1435
1436
1437
1438
1439
1440
1441
1442
1443
1444
1445
1446
1447
1448
1449
1450
1451
1452
1453
1454
1455
1456
1457
1458
1459
1460
1461
1462
1463
1464
1465
1466
1467
1468
1469
1470
1471
1472
1473
1474
1475
1476
1477
1478
1479
1480
1481
1482
1483
1484
1485
1486
1487
1488
1489
1490
1491
1492
1493
1494
1495
1496
1497
1498
1499
1500
1501
1502
1503
1504
1505
1506
1507
1508
1509
1510
1511
1512
1513
1514
1515
1516
1517
1518
1519
1520
1521
1522
1523
1524
1525
1526
1527
1528
1529
1530
1531
1532
1533
1534
1535
1536
1537
1538
1539
1540
1541
1542
1543
1544
1545
1546
1547
1548
1549
1550
1551
1552
1553
1554
1555
1556
1557
1558
1559
1560
1561
1562
1563
1564
1565
1566
1567
1568
1569
1570
1571
1572
1573
1574
1575
1576
1577
1578
1579
1580
1581
1582
1583
1584
1585
1586
1587
1588
{
    "paper_id": "P87-1003",
    "header": {
        "generated_with": "S2ORC 1.0.0",
        "date_generated": "2023-01-19T09:13:28.896821Z"
    },
    "title": "SITUATIONS AND INTERVALS 1",
    "authors": [
        {
            "first": "Rebecca",
            "middle": [
                "J"
            ],
            "last": "Passonneau",
            "suffix": "",
            "affiliation": {
                "laboratory": "",
                "institution": "UNISYS Defense Systems ~",
                "location": {
                    "postBox": "P.O.Box 517",
                    "postCode": "19301",
                    "settlement": "Paoli",
                    "region": "PA",
                    "country": "USA"
                }
            },
            "email": ""
        }
    ],
    "year": "",
    "venue": null,
    "identifiers": {},
    "abstract": "The PUNDIT system processes natural language descriptions of situations and the intervais over which they hold using an algorithm that integrates ~peet and ~en~e [ogle. It analyzes the tense and aspect of the real-verb to generate representations of three types of situations-states, processes and events-and to locate the situations with respect to the time at which the text was produced. Each situation type has a distinct temporal structure, represented in terms of one or more intervals. Further, every interval has two features whose different values capture the aspectual differences between the three different situation types. Capturing these differences makes it possible to represent very precisely the times for which predications are asserted to hold.",
    "pdf_parse": {
        "paper_id": "P87-1003",
        "_pdf_hash": "",
        "abstract": [
            {
                "text": "The PUNDIT system processes natural language descriptions of situations and the intervais over which they hold using an algorithm that integrates ~peet and ~en~e [ogle. It analyzes the tense and aspect of the real-verb to generate representations of three types of situations-states, processes and events-and to locate the situations with respect to the time at which the text was produced. Each situation type has a distinct temporal structure, represented in terms of one or more intervals. Further, every interval has two features whose different values capture the aspectual differences between the three different situation types. Capturing these differences makes it possible to represent very precisely the times for which predications are asserted to hold.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Abstract",
                "sec_num": null
            }
        ],
        "body_text": [
            {
                "text": "This paper describes a semantics of situations and the intervals over which they hold that is neither situation semantics (Barwise and Perry, 1983) nor interval semantics (Dowty, 1979 (Dowty, , 1982 (Dowty, , 1986 Taylor, 1977) .",
                "cite_spans": [
                    {
                        "start": 122,
                        "end": 147,
                        "text": "(Barwise and Perry, 1983)",
                        "ref_id": "BIBREF2"
                    },
                    {
                        "start": 171,
                        "end": 183,
                        "text": "(Dowty, 1979",
                        "ref_id": "BIBREF7"
                    },
                    {
                        "start": 184,
                        "end": 198,
                        "text": "(Dowty, , 1982",
                        "ref_id": null
                    },
                    {
                        "start": 199,
                        "end": 213,
                        "text": "(Dowty, , 1986",
                        "ref_id": "BIBREF6"
                    },
                    {
                        "start": 214,
                        "end": 227,
                        "text": "Taylor, 1977)",
                        "ref_id": "BIBREF18"
                    }
                ],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Introduetlon",
                "sec_num": "1."
            },
            {
                "text": "It is unfortunately d~f~cult to avoid the overlap in terminology because what will be described here shares certain goals and assumptions with each. The concerns addressed here, however, arise from the computational task of processing references to situations in natural language text in order to represent what predicates are asserted to hold over what entities and when.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Introduetlon",
                "sec_num": "1."
            },
            {
                "text": "Situation as used here pertains to the linguistic means for referring to things in the world, i.e., to sentences or predications. More specifically, situation is the superordinate category in Mourelatos' typology of aspectual classes of predications, schematised in Fig. 1 Engine/ailed. The PUNDIT text-processing system s processes references to situations using an algorithm that integrates tense logic (Reichenbach, 1947) with aspect, or what Talmy (1985) calls the~pa~e~w-~ ~--~ d~tribution o~ ac~io, throug~ time. This paper describes how PUNDIT represents the temporal structure of three types of situations, namely states, processes and events, and how these situations are located in time.",
                "cite_spans": [
                    {
                        "start": 405,
                        "end": 424,
                        "text": "(Reichenbach, 1947)",
                        "ref_id": "BIBREF16"
                    },
                    {
                        "start": 446,
                        "end": 458,
                        "text": "Talmy (1985)",
                        "ref_id": "BIBREF17"
                    }
                ],
                "ref_spans": [
                    {
                        "start": 266,
                        "end": 272,
                        "text": "Fig. 1",
                        "ref_id": "FIGREF0"
                    }
                ],
                "eq_spans": [],
                "section": "Introduetlon",
                "sec_num": "1."
            },
            {
                "text": "The critical problems in the semantic analysis of references to situations and their associated times are: I) language encodes several different kinds of temporal information, 2) this information is distributed in many distinct linguistic elements, and finany, 3) the semantic contribution of many of these elements is context-dependent and cannot be computed without looking at co-occurring elements.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Problems in Computing Appropriate Representations",
                "sec_num": "2."
            },
            {
                "text": "ZThis work was supported by DARPA under contract N00014-85-C-0012, administered by the Office of Naval Research. APPROVED FOR PUBLIC RELEASE, DISTR/BU-TION UNLIMITED.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Problems in Computing Appropriate Representations",
                "sec_num": "2."
            },
            {
                "text": "ZFormerly SDC--A Burroughs Company.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Problems in Computing Appropriate Representations",
                "sec_num": "2."
            },
            {
                "text": "zPUNDIT is an acronym for Prolog UNderstands and In-teErates Text. It is a modular system, implemented in Quintus Prolog, with distinct syntactic, semantic and pragmatic components (cf. Dahl et al., 1987 ). These problems have been addressed as follows. A decision was made to focus on the kinds of temporal information embodied in the verb and its categories of tense, taxis 4 and grammatical aspect, s and to temporarily ignore other kinds of temporal information, s Computation of this information was then divided into two relatively independent tasks, with appropriate information passed between the modules performlng these tasks in order to accommodate contextdependencies. The first task, carried out by Module 1, makes use of the aspectual information in the verb phrase (lexical and grammatical aspect) to determine the situation type being referred to and its temporal structure. An abstract component of temporal structure, referred to as the event time (following Reichenbach, 1947) , serves as input to Module 2, where the deictic information in the verb phrase (tense and taxis) is used to compute temporal ordering relations, i.e., where the situation is located with respect to the time of text production. Section \u00a73 outlines the general goals for computing temporal structure and \u00a74 describes in detail how it is computed. Then \u00a75 briefly illustrates how the event time which Module 1 passes to Module 2 simplifies the interaction of tense and aspect.",
                "cite_spans": [
                    {
                        "start": 186,
                        "end": 203,
                        "text": "Dahl et al., 1987",
                        "ref_id": null
                    },
                    {
                        "start": 977,
                        "end": 995,
                        "text": "Reichenbach, 1947)",
                        "ref_id": "BIBREF16"
                    }
                ],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Problems in Computing Appropriate Representations",
                "sec_num": "2."
            },
            {
                "text": "The goal in generating representations of the temporal structure of situations was to closely link the times at which situations are said to hold with the iexlcal decompositions of the predicates used in referring to them. The decompositions encode aspectual information about the situation types which is used in determlning what type of situation has been referred to and what its temporal structure is. Distinct components of the semantic decompositions correspond to different features of the intervals with which they are associated. As \u00a74 will demonstrate, the interpretation of these components of temporal meaning depends on the interaction between iexical and grammatical aspect.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Goals i~or Representing Situations",
                "sec_num": "8."
            },
            {
                "text": "4T4~'i# (Jakobson. 1957) refers to the semantic effect of the presence or absence of the perfect auxiliary.",
                "cite_spans": [
                    {
                        "start": 8,
                        "end": 24,
                        "text": "(Jakobson. 1957)",
                        "ref_id": null
                    }
                ],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Goals i~or Representing Situations",
                "sec_num": "8."
            },
            {
                "text": "SAzpect is both part of the inherent meaning of a verb (lexical aspect) and also signalled by the presence or absence of the progressive suffix -lag (grammatical aspect). ~E.g., rate (~ven by adverbs like rapidJy), \"patterns of frequency or habituation\", and so on (of. Mourelatos. 1981) .",
                "cite_spans": [
                    {
                        "start": 270,
                        "end": 287,
                        "text": "Mourelatos. 1981)",
                        "ref_id": "BIBREF10"
                    }
                ],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Goals i~or Representing Situations",
                "sec_num": "8."
            },
            {
                "text": "This approach to the compositional semantics of temporal reference is similar in spirit to interval semantics. Interval semantics captures the distinct temporal properties of situations by specifying a truth conditional relation between a full sentence and a unique interval (Dowty, 1979 (Dowty, , 1986 . This is motivated by the observation that the aspectual type of a sentence depends simultaneously on the aspectual class of a particular lexical item, its tense, taxis and grammatical aspect, and the nature of its arguments (cf. Mourelatos, 1981 ; note that the latter factor is not handled here).",
                "cite_spans": [
                    {
                        "start": 275,
                        "end": 287,
                        "text": "(Dowty, 1979",
                        "ref_id": "BIBREF7"
                    },
                    {
                        "start": 288,
                        "end": 302,
                        "text": "(Dowty, , 1986",
                        "ref_id": "BIBREF6"
                    },
                    {
                        "start": 534,
                        "end": 550,
                        "text": "Mourelatos, 1981",
                        "ref_id": "BIBREF10"
                    }
                ],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Goals i~or Representing Situations",
                "sec_num": "8."
            },
            {
                "text": "The goal of PUNDIT's temporal analysis is not simply to sort references to situations into states, processes and events, but more specifically to represent the differences between the three types of situations b~ considering in detail the e]~aracteris~ice o/ ~he set o/ temporal ~nter~z~# t]~Qt ~,sl/ hold or occur oesr (Allen, 1983, p. 132) . Thus, instead of specifying truth conditional properties of sentences, the temporal semantics outlined here specifies what property of an interval is entailed by what portion of the input sentence, and then compositionally constructs a detailed representation of a state, proeess or event from the intervais and their associated properties.",
                "cite_spans": [
                    {
                        "start": 320,
                        "end": 341,
                        "text": "(Allen, 1983, p. 132)",
                        "ref_id": null
                    }
                ],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Goals i~or Representing Situations",
                "sec_num": "8."
            },
            {
                "text": "Each situation type has a distinct temporal structure comprised of the interval or intervals over which it holds. Two features are associated with each interval, klnesle and boundedness. Very briefly, kinesls pertains to the internal structure of an interval, or in informal terms, whether something is happening within the interval. Boundedness pertains to the way in which an interval is located in time with respect to other times, e.g., whether it is bounded by another interval.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Intervals and Their Features",
                "sec_num": "8.1."
            },
            {
                "text": "The input used to compute the temporal structure of a situation consists of the grammatical aspect of the verb, that is, whether it is progressive, and the decomposition produced by PUNDIT's semantic interpreter (Palmer et al., 1986) . The lexical decompositions employed by PUNDIT (Passonneau, 1986] )) not only represent the predlcate/argument structure of verbs, but in addition, following the example of Dowty's aspect calculus (1979) , they represent a verb's inherent temporal properties, or lexlcal aspect. 7 In PUNDIT's lexical entries, there are three values of lexlcal aspect corresponding to the three types of situations. Four of the six possible combinations of grammatical and lexical aspect are temporally distinct. This section will go through the four cases one by one.",
                "cite_spans": [
                    {
                        "start": 212,
                        "end": 233,
                        "text": "(Palmer et al., 1986)",
                        "ref_id": null
                    },
                    {
                        "start": 282,
                        "end": 300,
                        "text": "(Passonneau, 1986]",
                        "ref_id": "BIBREF15"
                    },
                    {
                        "start": 408,
                        "end": 438,
                        "text": "Dowty's aspect calculus (1979)",
                        "ref_id": null
                    }
                ],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Part One of the Algorithms Computing Temporal Structure",
                "sec_num": "4."
            },
            {
                "text": "The following conditional statement summarises the first of four cases of temporal structure. The antecedent specifies the necessary input condition, the first clause of the consequent specifies the situation type, the second specifies the k|nesls Of its associated interval and the third specifies its boundedness.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "States",
                "sec_num": "4.1."
            },
            {
                "text": "THEN Situation is a state AND its Time Argument is a period AND this period is unbounded",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "IF Lexical Aspect=stative",
                "sec_num": null
            },
            {
                "text": "As shown here, if the lexical aspect of a predication is stative, its grammatical aspect is irrelevant. The justification for ignoring grammatical aspect in the context of lexical stativity appears at the end of this section.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "IF Lexical Aspect=stative",
                "sec_num": null
            },
            {
                "text": "A state is defined as a situation which holds for some interval that is both statle and unbounded. Example 1) illustrates a typical reference to a state situation along with its semantic decomposition. Note that the lexlcal head of the verb phrase is the adjective low.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "IF Lexical Aspect=stative",
                "sec_num": null
            },
            {
                "text": "The pressure was low. low (patlent([pressurel]) s As in Dowty's aspect calculus (1979) , the decompositions of stative predicates consist of semantic predicates with no aspectual operators or connectives. Computing the temporal structure associated with 1) means finding a single interval with the appropriate features of kinesis and boundedness to associate with the stative predicate low(patlent(X)).",
                "cite_spans": [
                    {
                        "start": 56,
                        "end": 86,
                        "text": "Dowty's aspect calculus (1979)",
                        "ref_id": null
                    }
                ],
                "ref_spans": [],
                "eq_spans": [],
                "section": "1)",
                "sec_num": null
            },
            {
                "text": "rThe literature on upectual classes of verbs provides a variety of diagnostics for determining the inherent upect of verbs (cf. Vendler, 1967; Dowty, 1979) .",
                "cite_spans": [
                    {
                        "start": 128,
                        "end": 142,
                        "text": "Vendler, 1967;",
                        "ref_id": "BIBREF20"
                    },
                    {
                        "start": 143,
                        "end": 155,
                        "text": "Dowty, 1979)",
                        "ref_id": "BIBREF7"
                    }
                ],
                "ref_spans": [],
                "eq_spans": [],
                "section": "1)",
                "sec_num": null
            },
            {
                "text": "*PUNDIT's current application is to process short messages texts called CASREPS (CASualty REPorts) which describe Navy equipment failures. The arguments in the decompositions, e.g., [preuurel] , are unique identifiers of the entities denoted by the surface noun phrues. They are crest-Kinesls of states. A static interval is temporally homogeneous. With respect to the relevant predication, there is no change within the interval; consequently, any subinterval is equivalent to any other subinterval. Thus, a static interval is defined much as stative predications are defined in interval semantics:",
                "cite_spans": [
                    {
                        "start": 182,
                        "end": 192,
                        "text": "[preuurel]",
                        "ref_id": null
                    }
                ],
                "ref_spans": [],
                "eq_spans": [],
                "section": "1)",
                "sec_num": null
            },
            {
                "text": "An inter~al I associated with some predication ~b 18 static iff it follows from the truth of ~ at I that ~ is true at all aublnter,Jal8 of I (cf. Dowty, 1986, p. 42) .",
                "cite_spans": [
                    {
                        "start": 146,
                        "end": 165,
                        "text": "Dowty, 1986, p. 42)",
                        "ref_id": null
                    }
                ],
                "ref_spans": [],
                "eq_spans": [],
                "section": "1)",
                "sec_num": null
            },
            {
                "text": "Situations are represented as predicates identifying the situation type (e.g., state). The situation denoted by 1) would be represented as follows:",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "1)",
                "sec_num": null
            },
            {
                "text": "state([lowl], low (patient ([pressureT]), period ([Iowl])",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "1)",
                "sec_num": null
            },
            {
                "text": "The three arguments are: the unique identifier of the situation (e.g., [lowl] ), the semantic decomposition, and the time argument (e.g., period ([lowl])). The same symbol (e.g., [lowl] ) identifies both the situation and its time argument because it is the actual time for which a situation holds which uniquely identifies it. 0 A period time argument in the context of a state predicate always represents a statie interval.",
                "cite_spans": [
                    {
                        "start": 71,
                        "end": 77,
                        "text": "[lowl]",
                        "ref_id": null
                    },
                    {
                        "start": 179,
                        "end": 185,
                        "text": "[lowl]",
                        "ref_id": null
                    }
                ],
                "ref_spans": [],
                "eq_spans": [],
                "section": "1)",
                "sec_num": null
            },
            {
                "text": "Boundedness of states. The intervals associated with states are inherently unbounded. A temporal bound can be provided by an appropriate temporal adverbial (e.g., The pressure wag ~orreal lwh~ the pump seize~), 10 but here we consider only the temporal semantics specified by the verb form itself. When an unbounded interval is located with respect to a particular point in time, it is assumed to extend indefinitely in both directions around that time. In 1), at least part of the interval for which the predication low(pat|ent([pressurel])) is asserted to hold is located in the past. However, this interval may or may not end prior to the present. The unbounded property of the interval can be illustrated more precisely by examining the relationship between the predication and the temporal adverbial ed by PUNDIT's reference resolution component (Dahl, 1986) . 2) The pressure was low at 08:00. This sentence asserts that the state of low(patient([pressvwel])) holds at 08:00 and possibly prior and subsequent to 08:00. That is, the sentence would be true if the pressure were low for only an instant coincident with 08:00, but it is not asserted to hold only for that instant. This is captured by defining the interval as unbounded.",
                "cite_spans": [
                    {
                        "start": 851,
                        "end": 863,
                        "text": "(Dahl, 1986)",
                        "ref_id": "BIBREF3"
                    }
                ],
                "ref_spans": [],
                "eq_spans": [],
                "section": "1)",
                "sec_num": null
            },
            {
                "text": "A situation representation does not itself indicate the boundedness of its period time argument. Instead, this feature is passed as a parameter to the component which interprets tense and taxis (cf. \u00a75).",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "1)",
                "sec_num": null
            },
            {
                "text": "As will be shown in the following section, the progressive assigns the features active and unbounded to non-stative verbs. But with statire verbs, the progressive contributes no temporal information. Inability to occur with the progressive has in fact been cited as a diagnostic test of statives, but as Dowry notes (1979), there is a class of progressives which denotes locative states (e.g., The soei~ are l~/ing under the bed). Such statires occur in PUNDIT's current application domain in examples like the following sentence fragment:",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "1)",
                "sec_num": null
            },
            {
                "text": "3)",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "1)",
                "sec_num": null
            },
            {
                "text": "Material clogging strainer.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "1)",
                "sec_num": null
            },
            {
                "text": "A complete discussion of the interaction between progressive grammatical aspect and stative lexical aspect would have to address cases in which the progressive contributes non-temporal information (cf. Smith, 1983) . However, these issues are not pertinent to the computation of temporal structure.",
                "cite_spans": [
                    {
                        "start": 197,
                        "end": 214,
                        "text": "(cf. Smith, 1983)",
                        "ref_id": null
                    }
                ],
                "ref_spans": [],
                "eq_spans": [],
                "section": "1)",
                "sec_num": null
            },
            {
                "text": "The second case of temporal structure involves progressive uses of non-stative verbs, i.e., process or transition event verbs.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Temporally Unbounded Processes",
                "sec_num": "4.2."
            },
            {
                "text": "THEN Situation is a process AND its Time Argument is a period AND this period is unbounded",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "IF Lexical Aspect~stative AND Grammatical Aspect--progressive",
                "sec_num": null
            },
            {
                "text": "In this case and the two subsequent ones, both lexical and grammatical aspect are relevant input.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "IF Lexical Aspect~stative AND Grammatical Aspect--progressive",
                "sec_num": null
            },
            {
                "text": "Processes are situations which hold over active intervals of time. 11 Active intervals can be unbounded or zmApecifled for boundedness, depending on the grammatical aspect of the predication. The two possible temporal structures associated with processes are discussed in this and the following section.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "IF Lexical Aspect~stative AND Grammatical Aspect--progressive",
                "sec_num": null
            },
            {
                "text": "Example 4) illustrates a typical predication denoting a temporally unbounded process along with its semantic decomposition.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "IF Lexical Aspect~stative AND Grammatical Aspect--progressive",
                "sec_num": null
            },
            {
                "text": "The alarm was sounding.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "4)",
                "sec_num": null
            },
            {
                "text": "DO is an aspectual operator identifying a decomposition as a process predicate (cf. Dowty, 1979) . 12 As with statives, computing the temporal structure for sentences llke 4) involves finding a single interval to associate with the semantic decomposition.",
                "cite_spans": [
                    {
                        "start": 84,
                        "end": 96,
                        "text": "Dowty, 1979)",
                        "ref_id": "BIBREF7"
                    }
                ],
                "ref_spans": [],
                "eq_spans": [],
                "section": "DO(sound(actor(lal m4])))",
                "sec_num": null
            },
            {
                "text": "Kinesls of processes. The presence of a DO operator in a decomposition indicates that the interval for which it holds must be active. Active and static intervals contrast in that change occurs within an active interval with respect to the relevant predication. For example, for any interval for which DO(sound(actor([alarm4]))) is true, the [alarm4] participant must undergo changes that qualify as sounding, and must continue to do so throughout the interval. As Moure~ latos (1981) has pointed out, process predicates vary regarding how narrowly one can subdivide such intervals and still recognize the same process. Dowty has used this threshold of granularity as the defining characteristic of process sentences, and it is borrowed here to define active intervals:",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "DO(sound(actor(lal m4])))",
                "sec_num": null
            },
            {
                "text": "An interval [ a~sociated with some predication ~ is aetlve iff it follows from the truth of ~b at I that ~ is true at all subintervals of I down to a certain limit in size.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "DO(sound(actor(lal m4])))",
                "sec_num": null
            },
            {
                "text": "As the process representation for 4) illustrates, processes and states are represented similarly. lithe distinction between static and active intervals is useful for interpreting manner adverbials indicating rate of change. Since statics predications denote the absence of change over time, they cannot be modified by rate adverbiak.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "DO(sound(actor(lal m4])))",
                "sec_num": null
            },
            {
                "text": "lZBecause the aspectual operator DO always hu an actor semantic role a~ociated with it, PUNDIT's semantic decompositions actually omit DO and use the presence of the actor role to identify proce~ predicates.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "DO(sound(actor(lal m4])))",
                "sec_num": null
            },
            {
                "text": "The situation predicate identifies the situation type as a process. Note that a period time argument in the context of a process predicate indicates an act|re interval.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "DO(sound(actor(lal m4])))",
                "sec_num": null
            },
            {
                "text": "The rule given above specifies that transltlon event verbs in the progressive also denote temporally unbounded processes (cf. 5).",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "DO(sound(actor(lal m4])))",
                "sec_num": null
            },
            {
                "text": "The engineer is installing the oU filter. cause(DO (|nstall(agent([englneer 8]))), (theme([mter4] ),",
                "cite_spans": [],
                "ref_spans": [
                    {
                        "start": 83,
                        "end": 97,
                        "text": "(theme([mter4]",
                        "ref_id": null
                    }
                ],
                "eq_spans": [],
                "section": "5)",
                "sec_num": null
            },
            {
                "text": "Iocatlon(X))))",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "BECOME(ins lled",
                "sec_num": null
            },
            {
                "text": "The cause predicate in the decomposition of in~tall indicates that it is a causative verb, and the BECOME operator that its lexical aspect is transition event. This aspectual class is a heterogeneous one, but in general, transition event verbs are temporally more complex than stative or process verbs, and have a correspondingly more complex relation between their semantic decompositions and temporal structure. Consequently, the discussion of the treatment of progressive transition event verbs is postponed until after the function of the aspectual operator BECOME has been explained.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "BECOME(ins lled",
                "sec_num": null
            },
            {
                "text": "Boundedness. In 6), the interval associated with the alarm sounding is unbounded. It bears the same relationship to the at adverbial phrase modifying the predication as does the statlc interval in 2) above, repeated here as 7).",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "BECOME(ins lled",
                "sec_num": null
            },
            {
                "text": "The alarm was sounding at 08:00.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "6)",
                "sec_num": null
            },
            {
                "text": "The pressure was low at 08:00.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "7)",
                "sec_num": null
            },
            {
                "text": "This siml]arity between statives and progressives has led Vlach (1981) to identify them with each other. Here, the commonality among sentences like 1), 2), 4) and 8) is captured by associating the feature value unbounded both with stative lexical aspect and with progressive grammatical aspect. The differences between the predications in 6) and 7), which show up in the types of modification and anaphorlc processes to which such predications are susceptible, are encapsulated in their contrasting values of klnes|s (cf. fn. 11 above).",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "7)",
                "sec_num": null
            },
            {
                "text": "The third case of temporal structure accounts for the differences between sentences like 4), having a process verb in the progressive, and 8), where the process verb is non-progressive.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Temporally Unspecified Processes",
                "sec_num": "4.8."
            },
            {
                "text": "The alarm sounded.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "8)",
                "sec_num": null
            },
            {
                "text": "The differences, which will be explained below, are captured in the following rule indicating that the actlve interval for which the predication is said to hold is unspecified for boundedness.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "8)",
                "sec_num": null
            },
            {
                "text": "IF Lexical Aspect=process AND Grammatical Aspect=non-progressive THEN Situation is a process AND its Time Argument is a period AND this period is unmpeeifled Again, the parameter indicating that the interval associated with 8) is unspecified gets passed to Module 2 which interprets tense and taxis. In every other respect, the analysis of the temporal structure associated with 8) resembles that for 4).",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "8)",
                "sec_num": null
            },
            {
                "text": "A comparison of progressive and nonprogressive process verbs in the context of an at adverbial phrase illustrates the relative indeterrninacy of the non-progressive use. In the context of the progressive process verb in 8), the clock time is interpreted as falling within the active interval of sounding but in 9), where the verb is not progressive, 08:00 can be interpreted as falling at the inception of the process or as roughly Iocating the entire process.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "8)",
                "sec_num": null
            },
            {
                "text": "The alarm sounded at 08:00.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "9)",
                "sec_num": null
            },
            {
                "text": "Non-progresslve process verbs exhibit a wide variation with respect to what part of the temporal structure is located by tense (Passonneau, 1986a) . The influencing factors seem to be pragmatic in nature, rather than semantic. The solution taken here is to characterize the event tlme of such predications as having an unnpecifled relation to the active interval associated with the denoted process.",
                "cite_spans": [
                    {
                        "start": 127,
                        "end": 146,
                        "text": "(Passonneau, 1986a)",
                        "ref_id": "BIBREF15"
                    }
                ],
                "ref_spans": [],
                "eq_spans": [],
                "section": "9)",
                "sec_num": null
            },
            {
                "text": "As mentioned in the previous section, the temporal structure of transition events is more complex than that of states or processes. Correspondingly, the rule which applies to this case has more output conditions. IF Lexical Aspect=transition event A.ND Grammatical Aspect=non-progressive THEN Situatlon=event AND Time Argument---moment AND this moment culminates an interval associated with a process AND this moment introduces an interval associated with a state or process A transltlon event is a complex situation consisting of a process which cu]mlnates in a transition to a new state or proeess. Its temporal structure is thus an aetlve interval followed by--and bounded by--a new aet|ve or stat|e interval. The new state or process comes into being as a result of the initial process, is",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Transition Events",
                "sec_num": "4.4."
            },
            {
                "text": "As in Dowty (1986) , both Vendler's achievements and his accomplishments collapse into one class, vie., tr~n_Aitlon events. That is, achievements are those ~'nesi8 predicates which are not only typieally of shorter duration than accomplishments, but aJso thoee which toe do not normally understand o.8 entailing a sequence o/ sub-events, given o\u2022r e, eaJ every-dal/ criterla for identifying the even~ named by the predicate (Dowty, 1988, p. 43) .",
                "cite_spans": [
                    {
                        "start": 6,
                        "end": 18,
                        "text": "Dowty (1986)",
                        "ref_id": "BIBREF6"
                    },
                    {
                        "start": 424,
                        "end": 444,
                        "text": "(Dowty, 1988, p. 43)",
                        "ref_id": null
                    }
                ],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Transition Events",
                "sec_num": "4.4."
            },
            {
                "text": "Causative verbs, in which the action of one participant results in a change in another participant, are typical accomplishment verbs.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Transition Events",
                "sec_num": "4.4."
            },
            {
                "text": "10) The pump sheared the drive shaft. eause (D O(shear (agent (|pumpS|) ",
                "cite_spans": [
                    {
                        "start": 44,
                        "end": 71,
                        "text": "(D O(shear (agent (|pumpS|)",
                        "ref_id": null
                    }
                ],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Transition Events",
                "sec_num": "4.4."
            },
            {
                "text": ")), BEC OME(sheared(patlent([shai~e]))))",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Transition Events",
                "sec_num": "4.4."
            },
            {
                "text": "Sentence 10) asserts that a process in which the pump participated (shear/ng) caused a change in the drive shaft (being sheared). Note that the decomposition explicitly indicates a causal relation between two conjoined predicates, one representing an activity perfomed by an agent, and the other representing the resulting situation. BECOME serves as the aspectual operator for marking transltlon event decompositions. The argument to BECOME constitutes the semantic decomposition of the new state or process arising at the culmination of the event.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Transition Events",
                "sec_num": "4.4."
            },
            {
                "text": "Non-causative verbs can also denote transition events. With inchoatives, the same entity participates in both the initial process and the resulting situation denoted by the predication.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Transition Events",
                "sec_num": "4.4."
            },
            {
                "text": "11) The engine failed. D O (fall (agent([englnel]))), BE COME (failed(patlent([englnel])))",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Transition Events",
                "sec_num": "4.4."
            },
            {
                "text": "In 11), an engine is said to participate in some process ~ailing) which culminates in a new state (e.g.,",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Transition Events",
                "sec_num": "4.4."
            },
            {
                "text": "The semantic ISA state may be a necessary precondition for a certain change to occur, but since states are defined by the absence of change, or negative klnesla, they are inherently incapable of generating new situations. decompositions used in PUNDIT do not explicitly represent the initial processes involved in transition events because they are completely predictable from the presence of the BECOME operator. But both conjuncts are shown here to illustrate that computing the temporal structure of a transition event situation requires finding two intervals, one associated with the initial process predicate (e.g., DO(fa|l(agent([eng|nel])))) and the other with the predicate for the resulting situation (e.g., falled(pat|ent([eng|nel]))).",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "being inoperative).",
                "sec_num": null
            },
            {
                "text": "As indicated in the rule for this case, the temporal structure also includes a moment of transition between the two intervals, i.e., its transltion bound. Since a trans|t|on event is one which results in a new situation, there is in theory a point in time before which the new situation does not exist and subsequent to which it does. A transition bound is a theoretical construct not intended to correspond to an empirlcal]y determined time. In fact, it should be thought of as the same kind of boundary between intervals implied by Alien's meets relation (Allen, 1983; 1984, esp. p. 128) . However, it is a convenient abstraction for representing how transition events are perceived and talked about.",
                "cite_spans": [
                    {
                        "start": 557,
                        "end": 570,
                        "text": "(Allen, 1983;",
                        "ref_id": "BIBREF1"
                    },
                    {
                        "start": 571,
                        "end": 589,
                        "text": "1984, esp. p. 128)",
                        "ref_id": null
                    }
                ],
                "ref_spans": [],
                "eq_spans": [],
                "section": "being inoperative).",
                "sec_num": null
            },
            {
                "text": "We can now return to the question of the interpretation of progressive transition event verbs. In the context of a decomposition with a BECOME operator, the progressive is constrained to apply to the predicate corresponding to the initial process, i.e., the predicate denoting the portion of a transition event prior to the moment of transition. Computing the temporal structure for the progressive of install in 12), for example, involves generating a single active, unbounded interval for which the predication D O (agent (|engineer 8])) holds:",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "being inoperative).",
                "sec_num": null
            },
            {
                "text": "12) The engineer is installing the oll filter. eause(D O (agent(|engineer 8]), BECOME(irmtalled(theme([fllter4]), Ioeatlon(X)))))",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "being inoperative).",
                "sec_num": null
            },
            {
                "text": "In this context, the remainder of the semantic decomposition denotes what the person report.ing on the event assumes to be the eventual culmination of the process referred to as inetalilng.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "being inoperative).",
                "sec_num": null
            },
            {
                "text": "K|nesls. Examples 13) and 14) illustrate two types of transition events, one resulting in a new state, and one resulting in a new process. As illus-trated, ~4 transition events are represented as complex situations in which an event with a moment time argument results in a new state or process:",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "being inoperative).",
                "sec_num": null
            },
            {
                "text": "13) The lube oil pump has seized. event ([seisel] The starts relation indicates that a transition bound (e.g., moment([selsel])) is the onset of the interval (e.g., perlod ([selse2D) associated with the situation resulting from a tran~itlon event.",
                "cite_spans": [
                    {
                        "start": 40,
                        "end": 49,
                        "text": "([seisel]",
                        "ref_id": null
                    },
                    {
                        "start": 172,
                        "end": 182,
                        "text": "([selse2D)",
                        "ref_id": null
                    }
                ],
                "ref_spans": [],
                "eq_spans": [],
                "section": "being inoperative).",
                "sec_num": null
            },
            {
                "text": "Boundedness. An important role played by the transition bound is that it serves as the temporal component of transition events for locating them with respect to other times. For example, the sentence in 15) asserts that the moment of transition to the new situation coincides with the clock time of 8:00.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "being inoperative).",
                "sec_num": null
            },
            {
                "text": "15) The engine failed at 8:00.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "being inoperative).",
                "sec_num": null
            },
            {
                "text": "The status of the engine prior to 8:00 is asserted to be different from its status afterwards.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "being inoperative).",
                "sec_num": null
            },
            {
                "text": "Part Two of the Algorithms Temporal Ordering Relations PUNDIT employs a Reichenbachian analysis of tense which temporally locates situations in terms of three abstract times: the time of the situation (event alms), the time of speech/text production (speech time), and the time with",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "5.",
                "sec_num": null
            },
            {
                "text": "xtAt present, PUNDIT explicitly represents only two components of transition event predications: the moment atsociated with an event of becoming, and a period associated with a resulting situation. This representation has been found to be adequate for the current application. The omission of the first interval is purely a matter of practical convenience, but could easily be reprelented should the need arise. respect to which relational adverbials are interpreted (reference time). Reichenbach (1947) did not distinguish between the temporal structure of a situation and its event tlme. In PUNDIT, event time is a carefully defined abstract component of temporal structure in terms of which ordering relations are specified. It is determined on the basis of boundedness, and is always represented as a dimensionless moment.",
                "cite_spans": [
                    {
                        "start": 485,
                        "end": 503,
                        "text": "Reichenbach (1947)",
                        "ref_id": "BIBREF16"
                    }
                ],
                "ref_spans": [],
                "eq_spans": [],
                "section": "5.",
                "sec_num": null
            },
            {
                "text": "The three values of boundedness outlined above correspond to three possible relations of event time to a time argument. Examples 16) through 18) illustrate these relations. If an interval is unbounded, its event time is represented as an arbitrary moment iz~lmled within the period time argument:",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Event Time",
                "sec_num": "5.1."
            },
            {
                "text": "16) The pressure is low. Boundedness: unbounded Event time: ~/1 such that |ncludes(period(~owl])jnoment(~VIl]))",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Event Time",
                "sec_num": "5.1."
            },
            {
                "text": "For an interval unspecified for boundedness the event time /ms a non-committal relation to the interval, i.e., it may be an endpoint of or included within the period time argument:",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Event Time",
                "sec_num": "5.1."
            },
            {
                "text": "17) The alarm sounded. Boundedness: unspecified Event time: M l such that has(period([soundl]),moment (~vfs]))",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Event Time",
                "sec_num": "5.1."
            },
            {
                "text": "The moment time argument of a transition event is id~e=~/~/to its event time. Identity, or the lack of referential distinctness, is handled through Prolog unification.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Event Time",
                "sec_num": "5.1."
            },
            {
                "text": "18) The engine failed. Boundedness: transition hound Event time: M l unifies with moment([fail1])",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Event Time",
                "sec_num": "5.1."
            },
            {
                "text": "Defining these three different relations of event time to temporal structure simplifies the computation of the ordering relations given by the perfect and non-perfect tenses.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Event Time",
                "sec_num": "5.1."
            },
            {
                "text": "The event time computed in Module 1 and the verb's tense and taxis comprise the input used in computing temporal ordering relations. Due to the pragmatic complexity of the perfect tenses and to space ]~m~tatlons, neither referenee time nor taxis is discussed here (but cf. Passonneau, 1986a) . The rules for the past and present tenses are quite simple. They locate the event time as coincident with or prior to the time of text production (i.e., the Report Time):",
                "cite_spans": [
                    {
                        "start": 273,
                        "end": 291,
                        "text": "Passonneau, 1986a)",
                        "ref_id": "BIBREF15"
                    }
                ],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Temporal Ordering RelatlonB",
                "sec_num": "5.2."
            },
            {
                "text": "IF Tense=present AND Taxis/non-perfect THEN coincide(Event Time, Report Time)",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Temporal Ordering RelatlonB",
                "sec_num": "5.2."
            },
            {
                "text": "IF Tense=past AND Taxis/non-perfect THEN precedes(Event Time, Report Time)",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Temporal Ordering RelatlonB",
                "sec_num": "5.2."
            },
            {
                "text": "These two rules in combination with the different relations of event time to the temporal structures of situations makes it possible to capture important facts about the interaction of tense and aspect. For example, present tense denotes an actual time only when applied to unbounded intervals. Thus a reference to an actual situation is computed for sentences like 19) hut not 20).",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Temporal Ordering RelatlonB",
                "sec_num": "5.2."
            },
            {
                "text": "19) The engine is failing.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Temporal Ordering RelatlonB",
                "sec_num": "5.2."
            },
            {
                "text": "The engine fails.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "20)",
                "sec_num": null
            },
            {
                "text": "In 20), the present tense pertains not to a specific event of engine failure, but rather to the tendency for this type of situation to recur.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "20)",
                "sec_num": null
            },
            {
                "text": "A predication denoting a past unbounded situation can be followed by a predication asserting the continuation or cessation of the same situation:",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "20)",
                "sec_num": null
            },
            {
                "text": "21) The pump was operating at 08.~0 and is still operating.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "20)",
                "sec_num": null
            },
            {
                "text": "A single interval would be generated for the two clauses in 21). However, a similar assertion following a predication with a transition event verb in the simple past is contradictory if still is interpreted as indicating persistence of the same event. Is 22) ?The pump sheared the drive shaft and is still shearing it.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "20)",
                "sec_num": null
            },
            {
                "text": "The event time for the first conjunct in 22) is a moment necessarily culminating in a new situation (i.e., a state of being sheared). Since the transition bound is dimensionless, the adverb still cannot refer to its persistence. A predication evoking an unspecified interval in a similar",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "20)",
                "sec_num": null
            },
            {
                "text": "ISAnother reading of 22) refers to a uniqe event followed by iterations of the same type of event. context can be interpreted analogously to either 21) or 22):",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "20)",
                "sec_num": null
            },
            {
                "text": "23) The pump operated at 08.~0 and is still operating.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "20)",
                "sec_num": null
            },
            {
                "text": "The non-commlttal relation of event time to temporal structure for unspecified intervals makes both interpretations of 23) possible, and selecting among them is undoubtedly a pragmatic task rather than a semantic one. As we will see next, the utility of distinguishing between unbounded and lm~peeifled process predications is especially apparent in the context of temporal adverbials.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "20)",
                "sec_num": null
            },
            {
                "text": "The representations described above were inspired by remarks found in the literature on tense and aspect to the effect that the time schemata (Vendler, 1967) associated with different situations are crucial to the way we perceive and talk about them. One of the crucial types of evidence used in deriving PUNDIT's temporal semantics as the interpretation of temporal adverbials in different contexts (Passonneau, 1988a) . Consequently, one of the advantages to the representations is that they make it possible to tailor the interpretation of a temporal adverb to the temporal structure of the modified situation.",
                "cite_spans": [
                    {
                        "start": 142,
                        "end": 157,
                        "text": "(Vendler, 1967)",
                        "ref_id": "BIBREF20"
                    },
                    {
                        "start": 400,
                        "end": 419,
                        "text": "(Passonneau, 1988a)",
                        "ref_id": null
                    }
                ],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Coneluslom Adverbial Modification",
                "sec_num": "6."
            },
            {
                "text": "For example, specifying a different relation for the event time of an active interval, depending on its boundedness, yields different temporal relations between the situations described in sentences llke 24-26), as shown informally in the examples.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Coneluslom Adverbial Modification",
                "sec_num": "6."
            },
            {
                "text": "24) The pump failed when the engine was rotating.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Coneluslom Adverbial Modification",
                "sec_num": "6."
            },
            {
                "text": "25) The pump failed when the engine rotated.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "transition o/failure during period of rotation",
                "sec_num": null
            },
            {
                "text": "tran~itlon o/failure during OR at one endpoi,~t of period o/rotation",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "transition o/failure during period of rotation",
                "sec_num": null
            },
            {
                "text": "26) The engine rotated when the pump failed.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "transition o/failure during period of rotation",
                "sec_num": null
            },
            {
                "text": "Sentences like 25) and 26) are often interpreted with the process (e.g., rotation) beginning at or after the transition event moment (e.g., failure).",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Same =a ~S)",
                "sec_num": null
            },
            {
                "text": "PUNDIT's representations of the temporal semantics of predications are explicit enough yet sufficiently non-commlttal to provide suitable input to a pragmatic reasoner that could decide these cases.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Same =a ~S)",
                "sec_num": null
            }
        ],
        "back_matter": [
            {
                "text": "I would like to thank Martha Palmer, Lynette Hirschman, Bonnie Webber and Dehbie Dahl for their comments, encouragement and patience.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "Acknowledgements",
                "sec_num": null
            }
        ],
        "bib_entries": {
            "BIBREF0": {
                "ref_id": "b0",
                "title": "Towards a general theory of action and time",
                "authors": [
                    {
                        "first": "James",
                        "middle": [
                            "F"
                        ],
                        "last": "Allen",
                        "suffix": ""
                    }
                ],
                "year": 1984,
                "venue": "AI",
                "volume": "23",
                "issue": "",
                "pages": "123--154",
                "other_ids": {},
                "num": null,
                "urls": [],
                "raw_text": "Allen, James F. 1984. Towards a general theory of action and time. AI 23: 123-154.",
                "links": null
            },
            "BIBREF1": {
                "ref_id": "b1",
                "title": "1V~aintaining knowledge about temporal intervals. ACI~ 25",
                "authors": [
                    {
                        "first": "James",
                        "middle": [
                            "F"
                        ],
                        "last": "Allen",
                        "suffix": ""
                    }
                ],
                "year": 1983,
                "venue": "",
                "volume": "11",
                "issue": "",
                "pages": "832--843",
                "other_ids": {},
                "num": null,
                "urls": [],
                "raw_text": "Allen, James. F. 1983. 1V~aintaining knowledge about temporal intervals. ACI~ 25.11:832-843.",
                "links": null
            },
            "BIBREF2": {
                "ref_id": "b2",
                "title": "Situations and Att|tudes",
                "authors": [
                    {
                        "first": "Jon",
                        "middle": [],
                        "last": "Barwise",
                        "suffix": ""
                    },
                    {
                        "first": "John",
                        "middle": [],
                        "last": "Perry",
                        "suffix": ""
                    }
                ],
                "year": 1983,
                "venue": "",
                "volume": "",
                "issue": "",
                "pages": "",
                "other_ids": {},
                "num": null,
                "urls": [],
                "raw_text": "Barwise, Jon and John Perry. 1983. Situations and Att|tudes. Cambridge, Massachusetts: The MIT Press.",
                "links": null
            },
            "BIBREF3": {
                "ref_id": "b3",
                "title": "Focusing and reference resolution in PUNDIT",
                "authors": [
                    {
                        "first": "Deborahl",
                        "middle": [],
                        "last": "Dahl",
                        "suffix": ""
                    }
                ],
                "year": 1986,
                "venue": "Presented at AA.~. Philadelphia",
                "volume": "",
                "issue": "",
                "pages": "",
                "other_ids": {},
                "num": null,
                "urls": [],
                "raw_text": "Dahl, Deborahl. 1986. Focusing and reference reso- lution in PUNDIT. Presented at AA.~. Philadel- phia, PA~",
                "links": null
            },
            "BIBREF5": {
                "ref_id": "b5",
                "title": "Integrating Syntax, Semantics, and Discourse: DARPA Natural Language Understanding Program. Final Report",
                "authors": [
                    {
                        "first": "Martha",
                        "middle": [
                            ";"
                        ],
                        "last": "Palmer",
                        "suffix": ""
                    },
                    {
                        "first": "Rebecca",
                        "middle": [
                            ";"
                        ],
                        "last": "Passonneau",
                        "suffix": ""
                    },
                    {
                        "first": "Leslie",
                        "middle": [],
                        "last": "Riley",
                        "suffix": ""
                    }
                ],
                "year": 1985,
                "venue": "",
                "volume": "",
                "issue": "",
                "pages": "",
                "other_ids": {},
                "num": null,
                "urls": [],
                "raw_text": "Palmer, Martha; Passonneau, Rebecca; Riley, Leslie. 1987. Integrating Syntax, Semantics, and Discourse: DARPA Natural Language Understanding Program. Final Report May, 1985--May, 1987.",
                "links": null
            },
            "BIBREF6": {
                "ref_id": "b6",
                "title": "The effects of aspectual class on the temporal structure of discourse: semantics or pragmatics? Linguistics and Philosophy",
                "authors": [
                    {
                        "first": "David",
                        "middle": [
                            "R"
                        ],
                        "last": "Dowty",
                        "suffix": ""
                    }
                ],
                "year": 1986,
                "venue": "",
                "volume": "9",
                "issue": "",
                "pages": "37--61",
                "other_ids": {},
                "num": null,
                "urls": [],
                "raw_text": "Dowty, David R. 1986. The effects of aspectual class on the temporal structure of discourse: semantics or pragmatics? Linguistics and Philo- sophy 9: 37-61.",
                "links": null
            },
            "BIBREF7": {
                "ref_id": "b7",
                "title": "Word Meaning and Montague Grammar",
                "authors": [
                    {
                        "first": "David",
                        "middle": [
                            "R"
                        ],
                        "last": "Dowty",
                        "suffix": ""
                    }
                ],
                "year": 1979,
                "venue": "",
                "volume": "",
                "issue": "",
                "pages": "",
                "other_ids": {},
                "num": null,
                "urls": [],
                "raw_text": "Dowty, David R. 1979. Word Meaning and Mon- tague Grammar. Dordrecht: D. Reidel.",
                "links": null
            },
            "BIBREF9": {
                "ref_id": "b9",
                "title": "verbal categories and the Russian verb",
                "authors": [
                    {
                        "first": "",
                        "middle": [],
                        "last": "Shifters",
                        "suffix": ""
                    }
                ],
                "year": null,
                "venue": "",
                "volume": "",
                "issue": "",
                "pages": "130--147",
                "other_ids": {},
                "num": null,
                "urls": [],
                "raw_text": "Shifters, verbal categories and the Russian verb. In his Selected Writings, \"v'ol. 2, pp. 130-147. The Hague: Mou- ton.",
                "links": null
            },
            "BIBREF10": {
                "ref_id": "b10",
                "title": "Events, processes, and states",
                "authors": [
                    {
                        "first": "Alexander",
                        "middle": [
                            "P D"
                        ],
                        "last": "Mourelatos",
                        "suffix": ""
                    }
                ],
                "year": 1981,
                "venue": "Tedeschi and Zaenen",
                "volume": "",
                "issue": "",
                "pages": "191--212",
                "other_ids": {},
                "num": null,
                "urls": [],
                "raw_text": "Mourelatos, Alexander P. D. 1981. Events, processes, and states. In Tedeschi and Zaenen, pp. 191-212.",
                "links": null
            },
            "BIBREF14": {
                "ref_id": "b14",
                "title": "Recovering Implicit Information. 24th Annual Meeting of the ACL",
                "authors": [
                    {
                        "first": "Marcia",
                        "middle": [
                            ";"
                        ],
                        "last": "Linebarger",
                        "suffix": ""
                    },
                    {
                        "first": "John",
                        "middle": [],
                        "last": "Dowding",
                        "suffix": ""
                    }
                ],
                "year": 1986,
                "venue": "",
                "volume": "",
                "issue": "",
                "pages": "",
                "other_ids": {},
                "num": null,
                "urls": [],
                "raw_text": "Linebarger, Marcia; Dowding, John. 1986. Recovering Implicit Information. 24th Annual Meeting of the ACL. Columbia University, New York.",
                "links": null
            },
            "BIBREF15": {
                "ref_id": "b15",
                "title": "A Computational Model of the Semantics of Tense and Aspect. Logic-Based Systems Technical Memo No. 43",
                "authors": [
                    {
                        "first": "Rebecca",
                        "middle": [],
                        "last": "Passonneau",
                        "suffix": ""
                    }
                ],
                "year": 1986,
                "venue": "Paoli Research Center. SDC",
                "volume": "",
                "issue": "",
                "pages": "",
                "other_ids": {},
                "num": null,
                "urls": [],
                "raw_text": "Passonneau, Rebecca. 1986a. A Computational Model of the Semantics of Tense and Aspect. Logic-Based Systems Technical Memo No. 43. Paoli Research Center. SDC. December, 1986. Passonneau, Rebecca. 1986b. Designing Lexical Entries for a Limited Domain. Logk-Based Sys- tems Technical Memo No. 42. Paoli Research Center. SDC. November, 1986.",
                "links": null
            },
            "BIBREF16": {
                "ref_id": "b16",
                "title": "Elements of Symbolic Logic",
                "authors": [
                    {
                        "first": "Hans",
                        "middle": [],
                        "last": "Reichenbach",
                        "suffix": ""
                    }
                ],
                "year": 1947,
                "venue": "",
                "volume": "",
                "issue": "",
                "pages": "",
                "other_ids": {},
                "num": null,
                "urls": [],
                "raw_text": "Reichenbach, Hans. 1947. Elements of Symbolic Logic. New York: The Free Press.",
                "links": null
            },
            "BIBREF17": {
                "ref_id": "b17",
                "title": "Lexicalisation patterns",
                "authors": [
                    {
                        "first": "Leonard",
                        "middle": [],
                        "last": "Talmy",
                        "suffix": ""
                    }
                ],
                "year": 1985,
                "venue": "Language Typology and Syntactic Description",
                "volume": "3",
                "issue": "",
                "pages": "57--151",
                "other_ids": {},
                "num": null,
                "urls": [],
                "raw_text": "Talmy, Leonard. 1985. Lexicalisation patterns. In Language Typology and Syntactic Description, vol. 3: Grammatkal Categories and the Lexicon, pp. 57-151. Edited by Timothy Shopen. Cam- bridge: Cambridge University Press.",
                "links": null
            },
            "BIBREF18": {
                "ref_id": "b18",
                "title": "Tense and continuity",
                "authors": [
                    {
                        "first": "Barry",
                        "middle": [],
                        "last": "Taylor",
                        "suffix": ""
                    }
                ],
                "year": 1977,
                "venue": "Linguistics and Philosophy",
                "volume": "1",
                "issue": "",
                "pages": "",
                "other_ids": {},
                "num": null,
                "urls": [],
                "raw_text": "Taylor, Barry. 1977. Tense and continuity. Linguistics and Philosophy 1.",
                "links": null
            },
            "BIBREF20": {
                "ref_id": "b20",
                "title": "v'lach, Frank. 1981. The Semantics of the progressive",
                "authors": [
                    {
                        "first": "Zeno",
                        "middle": [],
                        "last": "Vendler",
                        "suffix": ""
                    }
                ],
                "year": 1967,
                "venue": "Tedesch] and Zaenen",
                "volume": "",
                "issue": "",
                "pages": "271--292",
                "other_ids": {},
                "num": null,
                "urls": [],
                "raw_text": "Vendler, Zeno. 1967. Verbs and times. Linguistics in Philosophy. New York: CorneU University Press. \"v'lach, Frank. 1981. The Semantics of the pro- gressive. In Tedesch] and Zaenen, pp. 271-292.",
                "links": null
            }
        },
        "ref_entries": {
            "FIGREF0": {
                "type_str": "figure",
                "uris": null,
                "num": null,
                "text": "Mourelatos' typology of situations"
            },
            "FIGREF1": {
                "type_str": "figure",
                "uris": null,
                "num": null,
                "text": "SThough a situation is something quite different for Barwise and Perry (1983), they take n similar view of the role of a particular space-time location in tokenising a situation type (of. esp. pp. 51ff).Xlln general, temporal adverbials can modify an existing component of temporal structure or add components of temporal structure. modifying it in example 2):"
            }
        }
    }
}