Base_JSON/prefixJ/json/J74/J74-1005.json

{
    "paper_id": "J74-1005",
    "header": {
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        "date_generated": "2023-01-19T02:17:40.457843Z"
    },
    "title": "",
    "authors": [],
    "year": "",
    "venue": null,
    "identifiers": {},
    "abstract": "Nan-mach i m d i a I c~g i~e e ue i ng everday convarsat 1 ona I Eng I i s h p r e e e r i t",
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        "paper_id": "J74-1005",
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        "abstract": [
            {
                "text": "Nan-mach i m d i a I c~g i~e e ue i ng everday convarsat 1 ona I Eng I i s h p r e e e r i t",
                "cite_spans": [],
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                "eq_spans": [],
                "section": "Abstract",
                "sec_num": null
            }
        ],
        "body_text": [
            {
                "text": "B r a c k e t i n g the p a t t e r n i n t o ,shorter segrncnts.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "SEGMENT I NG 13",
                "sec_num": null
            },
            {
                "text": "A \" s i m p l e \" 'Negations and anaphora. Hatching tha p a t t e r n w i t h B t o r e d p a t t c r n e having p o i n t e r s t o response f u n c t i o n s i n memory. I f a complete match i s n o t found, a fuzzy match i s a t t e m p t e d by d e l e t i n g elements f r~m the p a t t e r n one a t time. I f n o match i s found, t h e RESPOND module must decide what t o do.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "SEGMENT I NG 13",
                "sec_num": null
            },
            {
                "text": "Complete and fuzzy matching uhen the p a t t e r n c o n t a i n s two o r more segment 8 . ",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "COMPLEX-PATTEFIN HATCH 19",
                "sec_num": null
            },
            {
                "text": "t r a n s l a t e d into.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "A I i s t i r i g o f tho d i c t i o n a r y i I l u s t r a t i n g the a l g o r i t h m ' s recogni zatlle input words and the word c l a s s namas they a r e",
                "sec_num": null
            },
            {
                "text": "A l i s t i n g o f the simple patterns. (1) WIIERE DO YOU WORK?",
                "cite_spans": [],
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                "eq_spans": [],
                "section": "APPEND1 X 3 50",
                "sec_num": null
            },
            {
                "text": "Kenneth",
                "cite_spans": [],
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                "eq_spans": [],
                "section": "PATTERN-HATCHING RULES FOR THE RECOGNITION OF NATURAL LANGUAGE DIACOGUE EXPRESSIONS",
                "sec_num": null
            },
            {
                "text": "(2) WHAT SORT OF WORK DO YOU DO?",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "PATTERN-HATCHING RULES FOR THE RECOGNITION OF NATURAL LANGUAGE DIACOGUE EXPRESSIONS",
                "sec_num": null
            },
            {
                "text": "( 3 ) WHAT I S YOUR OCCUPATIDN?",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "PATTERN-HATCHING RULES FOR THE RECOGNITION OF NATURAL LANGUAGE DIACOGUE EXPRESSIONS",
                "sec_num": null
            },
            {
                "text": "rn PADRY1 a prokcclurc scans these expressions I o o k i n g * f o r",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "PATTERN-HATCHING RULES FOR THE RECOGNITION OF NATURAL LANGUAGE DIACOGUE EXPRESSIONS",
                "sec_num": null
            },
            {
                "text": ";rrl i n f o r h i a t i c~n -b c a p i n g c o n t e n t i v o such ae \"uork\", ' f o r -a l i v i n g \" , e t c .",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "PATTERN-HATCHING RULES FOR THE RECOGNITION OF NATURAL LANGUAGE DIACOGUE EXPRESSIONS",
                "sec_num": null
            },
            {
                "text": "Whcn i t f i r i d s such a c o n t e n t i v e along w i t h \"you\" 9 r \".your\" i n The recognitiongmodule has 4 main steps:",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "PATTERN-HATCHING RULES FOR THE RECOGNITION OF NATURAL LANGUAGE DIACOGUE EXPRESSIONS",
                "sec_num": null
            },
            {
                "text": "19 I d e n t i f y the uords i n the question and convert them t o i n t e r n a l synonyms.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "PATTERN-HATCHING RULES FOR THE RECOGNITION OF NATURAL LANGUAGE DIACOGUE EXPRESSIONS",
                "sec_num": null
            },
            {
                "text": "2) Break the input i n t o segments a t c e r t a i n b r a c k e t i n g words.",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "PATTERN-HATCHING RULES FOR THE RECOGNITION OF NATURAL LANGUAGE DIACOGUE EXPRESSIONS",
                "sec_num": null
            },
            {
                "text": "3) Hatch each segment ( independent l y) to' a st'ored p a t tern. (A l i s t o f t h e b r a c k e t i n g terms appears. i n F i g .",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "PATTERN-HATCHING RULES FOR THE RECOGNITION OF NATURAL LANGUAGE DIACOGUE EXPRESSIONS",
                "sec_num": null
            },
            {
                "text": "3). ",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "PATTERN-HATCHING RULES FOR THE RECOGNITION OF NATURAL LANGUAGE DIACOGUE EXPRESSIONS",
                "sec_num": null
            },
            {
                "text": "I WHAT BE YOU JOB. 1",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "PATTERN-HATCHING RULES FOR THE RECOGNITION OF NATURAL LANGUAGE DIACOGUE EXPRESSIONS",
                "sec_num": null
            },
            {
                "text": "u h e r c a s a ccyfipl ex p a t t e r n u o u l d be:",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "PATTERN-HATCHING RULES FOR THE RECOGNITION OF NATURAL LANGUAGE DIACOGUE EXPRESSIONS",
                "sec_num": null
            },
            {
                "text": "( ( 0 WtIY BE YOU 1 i IN LUISPITAL I ) .",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "PATTERN-HATCHING RULES FOR THE RECOGNITION OF NATURAL LANGUAGE DIACOGUE EXPRESSIONS",
                "sec_num": null
            },
            {
                "text": "Our qxper ionce W t h i s method o f segmenrar I on snows r n a r conil~ ",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "PATTERN-HATCHING RULES FOR THE RECOGNITION OF NATURAL LANGUAGE DIACOGUE EXPRESSIONS",
                "sec_num": null
            },
            {
                "text": "When more than one simple p a t t e r n i s detected i n t h e i n p u t , a scconci ",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "COMPLEX-PATTERN MATCH",
                "sec_num": null
            },
            {
                "text": "f -BY WIiAT ? -DO YOU KNOW ANYTHING ABOUT BOOKIES? ",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": ".\" isicontent f r e e and 1s t h e r e f o r e not the main question. The r q i o s H l l i n g o f \"liospi t a l n uas unrntentional but i t i l l u s t r a t e s the v m e o f s p e l l i n g c o r r e c t i o n so i t uas l e f t in.)",
                "sec_num": null
            },
            {
                "text": "[The response functions provide the information that ehe\" r e f e r s t o the \"bookie' and \"get even u i t h \" i s a knoun idiom.) Thcy a r c high-frcquoncy uords and i t uoulq be uastmful t n rqpeatedly attempt to re-spel I t h s~~. 2) They cdUld be re-spel led I n t o a c o p p i e t e l y unrelated uord. 31 They might be 'r r t of idiom ah? must   be kept around unt i-1 a f t e r the 'id30ms a r e chec ad .,",
                "cite_spans": [],
                "ref_spans": [
                    {
                        "start": 346,
                        "end": 411,
                        "text": "must   be kept around unt i-1 a f t e r the 'id30ms a r e chec ad",
                        "ref_id": "FIGREF19"
                    }
                ],
                "eq_spans": [],
                "section": "I -D I D HE GET EVEN WITH YOU ? P -I THl NK k\u20ac I S BERI NO-THE GANGSTERS UHO ARE OUT TO GET HE.",
                "sec_num": null
            },
            {
                "text": "G I V E G I V E GAVE G I V E ATTEND FLOW GO GONE WENT GOD GOO GOD GOD GOD GOOD GOOD GOOD GO00 GOOD GOOD GOOD GOOD GOOD GO00 GOOD GOOD GOOD GOOD GOOD GOOD GOOD GOOD GOnD GOOD GOOD GOOD GOOD CHRI",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "I -HOL~ CAN YOU TELL THEY ARE OUT TO GET YOU",
                "sec_num": null
            },
            {
                "text": "+ SHOT + STAB 4 STRANGLE + V I OLENCE 4 VIOLWT 4 KILL KILL K I L L K I L L K I L4 K I L L KILL KILL K I L L KlLL K I L L K I L L KILL K I L L K I L L K I L L K I L L KILL K I L",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "I -HOL~ CAN YOU TELL THEY ARE OUT TO GET YOU",
                "sec_num": null
            },
            {
                "text": "FOHE I GNER I MM 1 G M N T I TAL I AN I T A L Y HEX I CAN nOflAN ROME S I C I L I A N S I C I L Y H I T NAN -P K I LCER -B MURDERER + TORPEDO -B I TALY I TALY I TALY I TALY I TALY I TALY I TALY I TALY I TALY K I L L E K I L L E K I L L E K I",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "I -HOL~ CAN YOU TELL THEY ARE OUT TO GET YOU",
                "sec_num": null
            },
            {
                "text": "GOD FAf-IER 3 GODFATHER 3 MOVIE 3 M O V I E N O V I M O V I E R O V",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "I -HOL~ CAN YOU TELL THEY ARE OUT TO GET YOU",
                "sec_num": null
            },
            {
                "text": "+ SHI T SMART WISE SMART SMMT SHI T SHI T SMOKE SHI T SHI T SHI T SHIT SHI T SHI T SHI T SHI T SHI T SMOKE 4 SOLUT I ON 3 WAY OUT 4 s o L u",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "I -HOL~ CAN YOU TELL THEY ARE OUT TO GET YOU",
                "sec_num": null
            },
            {
                "text": "STORY TELL TELL TELL T f L L TELL STRAN AUTHORITATIVE + DOMINATING 4 OVERSOL I CI T~U S + PERMISSIVE 4 S T R I CT 4 S U I C I D A L -B S U I C I D E 3 TAKE YqUn OWN LIF4 WORTH L I V",
                "cite_spans": [],
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                "section": "I -HOL~ CAN YOU TELL THEY ARE OUT TO GET YOU",
                "sec_num": null
            }
        ],
        "back_matter": [
            {
                "text": "WHAT BE YOU PRAY ",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "N rTALY I T A L Y I TALY I T WHAT ITALY I T A L Y UPSET YOU YOU FEAR I T A L Y RE YOU JEW",
                "sec_num": null
            }
        ],
        "bib_entries": {
            "BIBREF0": {
                "ref_id": "b0",
                "title": "A r t i f i c i a l Paranoia",
                "authors": [
                    {
                        "first": "K",
                        "middle": [
                            "N"
                        ],
                        "last": "Colby",
                        "suffix": ""
                    },
                    {
                        "first": "-",
                        "middle": [],
                        "last": "Webob",
                        "suffix": ""
                    },
                    {
                        "first": "S",
                        "middle": [],
                        "last": "",
                        "suffix": ""
                    },
                    {
                        "first": "F",
                        "middle": [
                            "D"
                        ],
                        "last": "",
                        "suffix": ""
                    }
                ],
                "year": null,
                "venue": "ARTIFICIAL INTELLIGENCE",
                "volume": "2",
                "issue": "",
                "pages": "1--25",
                "other_ids": {},
                "num": null,
                "urls": [],
                "raw_text": "Colby, K.N.., Webob-, S., and H i I f , F.D. (1371). A r t i f i c i a l Paranoia. ARTIFICIAL INTELLIGENCE, 2, 1-25.",
                "links": null
            }
        },
        "ref_entries": {
            "FIGREF0": {
                "text": "l y s i s a r e t o o f r a g i l e t o operate a a t i s f a c t o r i l g i n r e a l t i m e i n l t o r v i t ?~~: ; a l l o u i n g u n r e s t r i c t e d Engl'ish. I n c o n e t r u c t i n g a e i m u l a t i a I gor i thm capab I e o f hand I I n g t h o I i n g u i n t i c e x p r e s s i o n s used by i n t e h v i e w e r s i n t e l e t y p e d d i a n o e t i c p s y c h i a t r i c i n t e r v i e w s . The a l g o r i t h m uoeo p a t t e r n -m a t c h i n g r u l e s u h i c h a t t e m p t t o c h a r a c t e r i z e ths i n p u t e x p r e s s i o n s by p r o g r e s e i v e t y t r a n s f o r n~l n g them i n t o p a t t e r n s u h l c h match, c o n l p l e t e l y o r f u z z i I y , a b s t r a c t s t o r e d p a t t e r n s . The pouer o'f t h o r e r e c o g n i z e d and r3nrecognized uorde and s f i l l w a s p t h e meaning o f t h e mes~lago. The methods u t i l i z e d a r e general and c o u l d s e r v e any \" h o s t \" s y s t e m w h i c h take3 n a t u r a l language i n p u t .",
                "uris": null,
                "type_str": "figure",
                "num": null
            },
            "FIGREF1": {
                "text": "ma I t ilue. P r e~i o u t i ;~pprtiachf+s. TJIH ~a r n l~ I nn) o f s i n~u l a t i n g pnrar~oid l i n g u i s t i c behavior i n a p s \\ j c h i a t r i c i n t c r v i c u .Summary o f a tncthod f o r t r a n s f o r m i n g n a t i~r a l i6hgq~9r! i n p u t expr-essions u n t i l a ~~c r t t e r n i s o b t a i n e d uhich completely o r f u z z i l y matches a more a b s t r a c t s t o r e d p a t t o r n . Tho paranoid nlodel (PARRY21 c o n s i s t s o f a RECOGNIZE nioclu l a which performe the task o f r e c o g n i z i n g the i n p u t and a RESPOND modulo which decides how t o respond. Tha RECOIN1 ZE module f u n c t i o n s independently o f the RESPflm module e x c e p t i n i h e casg o f anaphoric r e f d r e n c e s which i t p r o v i d e s o n r e q u e s t from t h e language recognizer.",
                "uris": null,
                "type_str": "figure",
                "num": null
            },
            "FIGREF2": {
                "text": "t i o n a r y lookup and t r a n s l a t i o n s . How m i s s p e l l i n g s and t y r i n g A r r o r a a r e handled.",
                "uris": null,
                "type_str": "figure",
                "num": null
            },
            "FIGREF3": {
                "text": "c o n t a i n s no clelirniters; a complex\" p a t t e r n i s made up o f l u o o r more simple p a t t e r n s . MATCH I NG I ND LV I DUAL SEGMENTS 1 4.",
                "uris": null,
                "type_str": "figure",
                "num": null
            },
            "FIGREF4": {
                "text": "Ttfb aclvantagee o f ignoring as I r r e l e v a n t some sf uhat i s r e c o g n i z e d and uhat i s n o t recognized a t a l l . The c o m p l e t e language recognition process o f the adgorithm r e q u i r e s less than one second o f r e a l time. How t h e data base \" l e a r n s \" . The measurement o f l i n g u i s t i c improvement.",
                "uris": null,
                "type_str": "figure",
                "num": null
            },
            "FIGREF5": {
                "text": "c o g n i z e something i s t o i d e n t i f y i t as an i n s t a n c e o f the \"same aga i n\" . T h i s f a m i l i a r i t y i s p o s s i b l e because o f r e c u r r c r~i c h a r a c t o r j s t i c s o c r i b e an a l g o r i t h m which recognizes r e c u r r e n t c h a r a c t e r i s t i c s o f n a t u r a l language d i a l o g u e expressions. I t u t i l i z e s a m u l t i -s t a g e sequence o f p a t t e r n -m a t c h i n gr u l e s f o r progt-essively transforming an i n p u t e x p r e s s i o n u n t i l i t e v e n t u a l l y matches an a b s t r a c t s t o r e d p a t t e r n . The s t o r e d p a t t e r n has a p o i n t e r t o a r e s m s e f u n c t i o n i n memory u h i c h d e c i d e s what t~ do once the input has been recognized. Here ue d i s c u s s o s t i t u t i o n ) uhich i n t e r a c t i v e l y a i d s the r e c o g n i t i o n p r o c e s s . D e t a i l s o f hau the response functions operate w i l l be d e s c r i b e d i n a f u t u r e commun i c a t i on. We a r e c o n s t r u c t i n g and t e s t i n g a s i m u l a t i o n o f p a r a n o i d t h o u g h processes; our problem i s to reproduce paranoid l i n g u i s t i c b e h a v i o r i n a t e l e t y p e d d i a g n o s t i c p s y c h i a t r i c interview. The d i a g n o s i s o f p a r a n o i d s t a t e s , r e a c t i o n s o r modes i s made by c l i n i c i a n s who judge t h e d e g r e e o f correspondence betueen uhat they observe i n an i n t e r v i e u and t h e i rconcep tua I mode I o f parano i d behav i or. There e x i s t s a h i g h d e g r e e o f agreement among p s y c h i a t r i s t s about t h i s conceptual model which r e l i e s m a i n l y on what an i n t e r v i e u e e says and how he says i t . 6 N a t u r a l language i s a l i f e -e x p r e s s i n g code u h i c h p e o p l e use f o r c o m n l i~n i c a t i o n w i e r a c t i v e s~r n u l a t l o n o t a p a r a n o i d p a t i e n t must IIC a b l e t o demonstrate t y p i c a l parahoid l i n g u i s t i~ behavior. To a c h i e v e t h i s e f f e c t , our p a r a n o i d model must have the a b i l i t y t o deal u i t h t h e t e lc typed messages o f an i.ntorvieuer. A number o f approaches have been taken f o r d e a l i n g w i t h n a t u p a l language d i a l o g u e expressions. (Winograd,l972; Woods, 1970). These approaches r e l y on p a r s e r s which conduct a d e t a i l e d s y n t a c t i c and semantic a n a l y s i s . They p e r f o r m w e l l f o r the purposes f o r u h i c h they uern designed. T h e i r w'eakness, f o r dUr purposes, 1 i e s i n t h e i r l a c k o f n e g l e c t i r r r j and i g n o r i n g mcchariisms. Such mechanisms a r c necessary i n a p r o g r n r a c t e r i z e d by e x~r e s s i o n s novel t o the p~ograrn. tlou humans process n a t u r a l language i s l a r g e l y unknoun. They possess some knouledge o f gran~matical r u l e s , b u t t h i s f a c t does n o t e n t a i r t h a t t h e y use a grammar i n i n t e r p r e t i n g and producing language. I t seenis i m p l a u s i b l e t o u s t h a t people possess f u l l t r a n s f o r m a t i o n a l grammars f s e t o f E n g l i s h ; they c o n s t i t u t e d a formal method f o r d e c i d i n g u h e t h e r a s t r i n g i s grammatical. A n a n a l y s i s o f uhat one's problem actua1I.y i s should g u i d e the s e l e c t i o n o r i n v e n t i o n o f methods a p p r o p r i a t e t o i t s s o l u t i o n . Our problt-IN i s n o t t o develop a consi s t c n t and gencral theory o f language n o r t o asoer t empi r i cc I I y t e s t a b l e hypotheses about hou peop l a p r o c e s s l mguago. Our p r o u l c m i s t o design an a l g o r i t h m which r e c o g n i z e s what i s b e i n g s a i c l i n a d i a l o g u e and uhat i s b e i n g s a i d about i t i n o r d e r t o makc a r e s p o n s e such t h a t a sample o f 1-0 p a i r s from t h e p a r a n o i d model i s judgcd s m i l a r t o a sample o f I-0 p a i r s from p a r a n o i d p a t i e n t s . Tlic d e s i g n t a s k belongs t o a r t i f i c i a l i n t e l l i g e n c e i n u h i c h t h a c r i t e r i o n i s hgw adequate l l~ t h e coniputer program per forms h i n d -I i ke f u n c t i o n s . Neir methatis had t o be devised f o r an a l g o r i t h m t o p a r t i c i p a t e i n a hun~;ln d i a l o g u e i n a p a r a n o i d -p a t i e n t -1 1 k e uay. W e sought e f f e c t i v e n~ethods u h i c h c o u l d o p e r a t e e f f i c i e r r t l y I~I r e a l time. Since our method p r o v i d e s a genera 1 uay o f many-to-qne mapping from s u r f a c e express; on3 t o a s i n g I c s t o r e d p a t t e r n , i t i s m o t l i m i t e d t o the s i m u l a t i o n o f p a r a n o i a , b u i c a n b e used by any type o f \" h o s t \" system u h i c h takes n a t u r a l language a s a i n e d which matches compIeteIy o r p a r t i a l I y a more a b s t r a c t s t o i s f a c t o r y percentane of the time. The pouer of t h i s tnefhod f o r n a t u r a l language d i a l o g u e s lies i n i t s a b i l i t y t o ignore as 1rq.eIsyant some o f what i t r e c o g n i z e s and e v e r y t h i n g i t does n o t recognize\" a t a l l . of-speech ana I y s i s f a i I s uhen i t cannot f i n d pne o r more o f the input uords i n i t s diet i o n n r u . A sys t eax-. t know every dord i s too f r a g i l e f o r u n r e s t r i c t e d d i a l o g u e s . I n e a r l u VMrsions o f the paranoid model, such as PARRYI, snme o f t h e p a t t e r n r e c o g r r i T~o n mechanisms allowed the elements o f t h e p a t t e r n t o I,C o r d e r i ndeperrclent (Co I by, Weber, and H i I f , 1371 1 .",
                "uris": null,
                "type_str": "figure",
                "num": null
            },
            "FIGREF6": {
                "text": "exam$ l e, cons i d e r i he f o l l o u i m g exprcseions:",
                "uris": null,
                "type_str": "figure",
                "num": null
            },
            "FIGREF7": {
                "text": "t h e e x p r e s e i o r i , r e g a r d l e s s o f u o r d orclor, i t reeponds t o toe expression as i f i t werc! a q u e s t i o n about the n a t u r e o f one's work. This method c o r r e c t l y c l a s p i f i c s t h e f i v e sentences above. U n f o r t u n a t e l y , i t i n c l u d e s t h e t u o e e m p l c s bel0I-J i n t h e same ci3tcgo1-y: ( 6 ) DOES YOUR FATHER'S CAR WORK? (71 HOW D I D THINGS UORK OUT FOR YOU? An i n s e n s i t i v i t y t o uord order has the advantage t h a the wor.d \"work\" reprdocnts tha aanlc conccpt c~h e t t i e r i t i F; used as a noun o r a verb. B u t a p r i c e i s p a i d f o r t h i s r.es I I I ence a n~t e l a s t i c i t y . We f i n d f r o m e x p e r i e n c e t h a l , s i n c e t n g l i s h r e I i e s . h e a f l R j on word o r d e r t o convey the meaning o f i'ts messages, t h e average p e n a~x y 01 misunderstanrlir3g ( t o be d i s t i n g u i s h e d from ~n u n d~r d s t a n d i n g~, 1s t o o g r e a t .",
                "uris": null,
                "type_str": "figure",
                "num": null
            },
            "FIGREF8": {
                "text": "I I be described.. s h o r t Iy, a1 I t h e p a t t e r n s r e q u i r e a s p e c i f i e d word order.",
                "uris": null,
                "type_str": "figure",
                "num": null
            },
            "FIGREF9": {
                "text": "g n o s t i c p s y c h i a t r i c i n t e r v i e u s (and e s p e c i a l It_i tho:,t-! concluctecl over t e l e t g p e s ) have several n a t u r a l c o n s t r a i n t s . F i r s t , c l i~i c i a n s a r e t r a i n e d t o ask c e r t a i n questions i n c e r t a i n uays. Thi ! , I i m i t u t h o number o f pat t e r n s r e q u i r e d t o rehognize ut t e r a n c c s about e a c l l topic.. Second, on.ly a t e u hundred standard t o p i c s a r e b r o u g h t u p 114 i n t e r v i e w e r s who are, furthermore, r r a i n e d t o use everyday express i o n s arlrl e s p e c i o l l d those used by the pa)ien,t h i m s e l f . When t h e i n t e r v i e w i s c o n d u c t e d by t e 1 etypes, expressions tend t o be shortened s i nee t h e i n t c r v i c u c r t r i c e t o Incrcaoa tho information t r a n s q i s s i o n r o t e ovc!r t h e slow chorrnel of a teletype. f i n a l ly, tclatubed i n t e r v i e w s rcpr.escnt u r t t t e n u t t e r a n c e s and utterances are knout1 t o be h i g h l y redundamt suc:h t h a t unrecognized uordo can be ignored without l o s i n g the meaning o f t-hc message. AIeo utterances are loaded r t i th idioms, c l iches, pat phraaoo, etc.a l l b e i n g easlJ preu for a pattern-matching approach. Lt i s t i m e -u a s t i n g and u s u a l l y f u t i l e t o t r y t o decode an i d i o m by a n a l y z i n g the meanings, o f i t 8 i n d i v i d u a l uords. o r i t h m i n some d e t a i l . (See Fig. 1 f o r a diagram o f the o v e r a l l f l o u o",
                "uris": null,
                "type_str": "figure",
                "num": null
            },
            "FIGREF10": {
                "text": "n tho case o f pronoun references, which tm RESPOND modu I e p r o v i d e s . t o the RECOGNIZER on requeet.",
                "uris": null,
                "type_str": "figure",
                "num": null
            },
            "FIGREF11": {
                "text": ") f l a t c h the r e s u l t i n g l i s t of recognized segments t o a stoced complex pattern.",
                "uris": null,
                "type_str": "figure",
                "num": null
            },
            "FIGREF12": {
                "text": "steps. except m e segmenting, throus auay u h a t i t cannot-i d e n t i f y . OccasionalPy a reference t o an unknown t o p i c i s m i or 8 c o q n i t e d os some f a m i l i a r topic. PREPROCESS I NO Each uord i n tho input exprcsdon i s f i r s t , looked up i n n d i c t i o n a r y o f ( c u r r e n t l y ) a b u t 1988 e n t r i e s uhich. f o r t h e sake o f spaecl, c t i o n a r y , which was b u i l t e m p i r i c a l l y froni ttipusancjc. o f t e l e t~p e d j n t e r v i e u s y i t h p r e v i o u s v e r s i o n s o f t h e nod el, c o n s i s t s o f uo.rds. groups o f uordo, and hames o f word-classeo they can b e t r a n s 1 atacl i n t o . E n t r i e s i n t h e d i c t i o n a r y r e f l e c t PARRY2's main i n t e r e s t s . I f a ward i n tho Ynllut i s n o t i n t h e d i c t i o n a r y , i t i s checked t o see i f i t ends w i t h one o f t h e common s u f f i x e s g i v e n i n F i g . 2. I f i t does, t h e s u f f l l n o t i n t h e d i c t r o n a r y , i t i s dropped from t h e p a t t e r n b e i n g formed. Thus i f t h e i n p u t is: WHAT I S YOUR CURRENT OCCUPATION? and t h e word \" c u r r e n t \" i s n o t i n t h e d i c t i o n a r y , t h e p a t t e r n a t t h i s o t a g c becomes: ( WHAT I S YOUR OCCUPATION The quest i on-mark i o thrown away as redundanat s i nco q u o s t i o n s ar-c r e c o g n i z e d by u o r d order. (A statement f o l rowad by a q u e s t i o n mark (YOU GAMBLE?) i s responded t o i n t h e same hay as t h a t statement f o l l o u e d b y a p e r i o d . Synonymic t r a n s l a t i o n s o f uords a r e made so t h a t the aattern becomes, for examp i e: ( WHAT BE YOU JOB I Some groups o f uords e . idioms) a r e t r a n s l a t e d as a g r o u p S O t h a t , f o r example, \" f o r a 1 i v i r i g \" becomes \" f o r job\". C e r t a i , . o t h e r i u x t a p o s e d words a r e c o n t r a c t e d i n t o a s i n g l e y o~d , e.g. e v c n t i n g segmentation from o c c u r r i n g a t t h e urong places, such a s a t a p r e p o s i t i o n j i n s i d e an idiom or pnrase. Besides these c o n t r a c t i o n s , c e r t a i n e x p a n s i o n s are made so t h a t f o r exampl'e, \"DON'T\" becomes \"DO NOT\" and \"I 'DV -ornos \"I WOULD\".",
                "uris": null,
                "type_str": "figure",
                "num": null
            },
            "FIGREF13": {
                "text": "The s u f f i x e s are on the l e f t and the uords uhich r e p l a c e then1 a r e on the riEfht. Host s u f f i x e s a r e simply removed and n o t replaced. t a n t uords a r e simply pot i n t h e d i c t i o n a r u . Thus 'yuu\" i e knoun t o mean \"you\". The apostrophe i s o f t e n uai r r e a fro111 c o n t r a c t i o n s so most c o n t r a c t i o n s a r e recognized u i t h o r without i t . The!,e combon m i s s p e l l i n g s uere gathered from over 6808 i n t e r v i e u s u i t h e a r I i c : lv e r s i o n s o f the p a r a n o i d model. (The moddl (PhRRYI i s a v a i l a b l e for' i n t e r v i e u i n g o n t h e ARPA network). t e n~a t i c a l l~~. These are4 1 ) n o u h l a d l e t t e r 2) Ex tranegus l e t,ter 3d F o r r~c t t i n g t o h o l d t h e \" s h i f t kcy\" f o r an apostrophe 4 ) H i t t i n g a nearhy key on the keyboard 5) Transposing two l e t t e r s i n a uord The f i r s t t h r e e e r r o r s can be c o r r e c t e d by delct irlg the o f f e n d i ~r g cKaracter from the uord. fh1s i s occoniplishcd by d o l c t i r l g c i l f I~ c h a r a c t e r i n tutn unt i 1 the u o r d i s recognized. I he f o u r t h t y p e 0-f arrclr* i s o n l y checked f o r e i g h t orf the more coml~lon naar n~i a s c~. Thosc LJcrr: a1 ! , I , e m p i r i c a l l y dayermined and i n v o l v e the l e t t e r p a i r s (T Y ) , (Q W ) , ( Y U) ( I 01, (G H I , (0 PI, ( A S ) , and (N fl). lhese methods a r e a l I . based o n t y p i tlg e r r o r s , b u t they a l s o c o r r e c t some l e g i t i m a t e E n g l i s h s p e l l i n g err01-!,. T u o -l e t t e r t r a n s p o s i t i o n -c o r r e c t s , f o r example, \" b e l c i v e \" t o \" b e l i e v e \" . SEGMENT I NG Another ueakness i n the crude pat t e r n rra tcti ing o f PARRY1 i s that i t t~k c a t h o c n t i r o i n p u t a x p r c s s i o n as i t s b a s i c processing a n i t.",
                "uris": null,
                "type_str": "figure",
                "num": null
            },
            "FIGREF14": {
                "text": "y tuo uorcls a r e recognizec! i n an e i g h t ~~r d u t t e r a n c e , thc r i s k r l f m i s u n c l c r~~t a n d i n y i s great. We ~eed a way o f d e a l i n s w i t t i u n i t s shor.ter f h ,~l i t h e c n t i r e i n p u t expression. 1 4 A i d e d by a h e u r i s t i c from uork i n m a c h i n e -t r a n s l a t i o n (Milks, 1373 1 , u o~c~e v i a c d a wall o f b r a c k e t i n g the. p a t t e r n c o n s t r u c t e d up t o t h i s p o i n t i n:to shor t o r segments u s i n g preposi t ions, wh-form-s, c e r t a i n verbs, ctr:. as j d r a c k c t i n g point's.",
                "uris": null,
                "type_str": "figure",
                "num": null
            },
            "FIGREF15": {
                "text": "t h e r \" s i r p I e \" , Having ~R D d e l i ' m i t e r s w i t h i h i t , o r \"complex\", i , e . , b e i n g made u p O f two o r more s i m p l e p a t t e r n s . A ~i m p l 6 p a t f e r n might be:",
                "uris": null,
                "type_str": "figure",
                "num": null
            },
            "FIGREF16": {
                "text": "l e t y p e d p s y c h i a t r i c dialogues r a i -e l y c o n s i s t o f more th:rn t h r e e o r f o u r segment g. A f t e r c e r t a l n v e r b s (See . F i g . . -4 ) * 3 prac)ceting o c c u r s t o r e p l s c~ the comnlonly o m i t t e d \"THAT\", such that: j u n c t i o n s s e r v e o n l y as markers f o r the segmentor and thoy a r c dr rq>)~ncI nut n f t c r sogniefit-a t i on.Negat i.onfi a r e hand1 cd by expcact i ng the \"hlOT\" from t h e segmc:n t and a s s i g n i r i g a value t o a gIrobaI v a r i a b l e which i n d i c a t e that' t i l t * e x p r o s n i o n i 8 n e g a t i v e i n form. When a p a t t e r n i s f i n a l I g match&d, C h i : . v a r i a b l e i s consulted. Some p a t t e r n s havo a p o i n t e~ t o a p a t t e r n nT oppoai t e meafr i n g i f a 'NO?\" obuld r e v e r s e t h e i r hieaninas.",
                "uris": null,
                "type_str": "figure",
                "num": null
            },
            "FIGREF17": {
                "text": "p o i n t e r i s w e s e n t and a 'NOT!' uas found. then the p a t t e r n matched i s replaced by i t s opposite. e.g.I n o t t r u s t you I i s r e p l a c e d bythe p a t t e r n ( 1 m i s t r u s t you . W e have n o t y e t observed t h e froublesorne case o f 'he gave m e w n o t one b u t tl(p messages\". (TJlere i s no need t o s c r a t c h unero I r doesn' t i tchl. S u b s t i t u t i o n s a r e a l s o made i n c e r t a i n cases, Some segments c o n t a i n pronouns u h i c h c o u l d stand f o r a number of different t h i n g s o f i m p o r t a n c e t o PARRY2. As we montioncd i n the i n t r o d u c t i o h , the response functioris o f memory keep t r a e~ o f the contoxt i n order t o g i v o pronouns and o t h e r anaphoras a c o r r e c t i n t e r p r e t a t~o n . For example, the segment: ( DO YOU A V O I D THEM 1 c o u l d r e f e r t o t h e Mafia, O r racetracks, or other p a t i e n t s , depending an t h e context. When such a eegmen4 i s encountered, t h e pronoun i s r e p l a c e d by I rs c u r r e n t anaphoric value as determined by t h e r e s p o n s e f u n c t i o n s , and a more s p e c i f i c segment w h as: t OD YOU AVdID MAFIA I i a looked u~. Other-u-t terances. sucn as ' Why d i d you do t h a t ? \" o r j u s t \"Why?\" ( u h i c h might be regarded as a Inas8ive e l l i p s~s ) , c l e a r l y r e f e r back ta p r c v i ous u t torrlnccs. These u t terances match v e r y genera I p a t t e r n s w h i c l~ i d e n t i f y the type o f question uilthout i n d i c a t i n g the exact topic. Thc r e s p o n s e f u n c t i o n which responds t o \"Why?\" c o n a u l t s t h e c o n t e x t t o produce an appr apr i a t e qnsucr . The a l g o r i t h m next attempts ttq match the segments u i t h s t o r e d s i m p l e p a t t e r n s which c u r r e n t l y number a b u t 1780. (The s i n g l e p a t t e r n s appcar i n Appendix 31. F i r s t a complete and p e r f e c t match i s sought. When n match i s found, the s t o r e d p a t t e r n name has a p o i n t e r to the name o f a response f u n c t i o n i n memory which decides what t o do f u r t h e r . I f a match i s n o t fourid, f u r t h e r transformations o f tv segment a r e c a r r i e d o u t and \" f u z z y \" matrch i s t r i e d . For f u z z y matchi'ng a t t h i s stage, we adopted t h e h e u r i s t i c r u l e o f d r o p p i n g elements i n the segment one a t a time and a t t e m p t i n g a match each t imo. This h e u r i s t i c a l l o w s i g n o r i n g f a m I I i a r uords i n u n f a m i l i a r c o n t e x t s . For example, ' u e l l n i s important i n \"Are you w e l l ? \" b u t meaninglt+ss i n \"Well a r e god?\". Q c l c t i n g one elemcnt a t a time r e s u l t s in, f o r example, thc pat tern: ( WHAT BE YOU M A I N PROBLEM 1 ( a ) I E E YOU M A I N PROBLEM 1 I b ) ( WliAT YOU M A I N PROBLEM 1 (cl ( WHAT BE MAIN PROBLEM 1 (dl ( WHAT BE YOU PROBLEM 1 [ e l ( WHAT BE YOU RAIN 1 S i n c e t h e s t o r e d p a t t e r n i n t h i s case matches ( d l , (el would n o t bc con8 truc ted. We found It unuise t o d e l e t o more than one element s i n c e our s e g m e n t a t i o n method u s u a l l u y i e l d s segments c o n t a i n i n g a s m a l l numbcr-(1-41 o f words. D r o p p i n g an element a t a time p r o v i d e s a probabi l i t g t h r e s h o l d f o r fuzzy matching u h i c h i s a f u n c t i o n o f t h e l e n g t h o f the segnlerit. I f a segment c o n s i s t s o f f i v e elenients, f o u r o f t h e f i v e must I J~ p r a s c n t i n a p a r t i c u l a r order ( u i t h the f i f t h element m i s s i n g i n an9 p o s i t i o n ) f o r a match t o occur. I f a segment c o n t a i n s f o u r e l e m e n t s , t h r e e must matchand so f o r t h .",
                "uris": null,
                "type_str": "figure",
                "num": null
            },
            "FIGREF18": {
                "text": "t e r n s . C e r t a i n p a t t e r n s , such as4 ( HELLO 1 and ( I THINK 1, a r e dropped because t h e y a r e c o n s i d e r e d meaningless. I f a complete match i s n o t found, t h e n s i m p l e p a t t e r n s a r e dropped, one a t a time, from the complex p a t t e r n . T h i s a l l o w s t h o i n p u t , ( ( HOW 00 YOU CONE 1 ( TO BE 1 ( I N HOSPITAL 1) t o match t h e s t o r e d oattern, ( I tIOW DO YOU COME 1 ( IN HOSPITAL 1 ) . I f no match can be found a t t h i s p o i n t , the a l g o r i t h m has a r r i v c d a t a d e f a u l t concji t i o n and the appropriate response f u n c t i o n s decide what t o do. For example, i n a d e f a u l t condition, t h e model may assume c o n t r o l o f t h e i n t e r v i e w , asking t h e interviewer a question, c o n t i n u i n g w i t ht h o t o p i c under d i s c u s s i o n or i n t r o d u c i n g a neu t o p i c . An annotated example of a d i a g n o s t i c p s y c h i a t r i c i n t e r v i e u i s p r e s e n t e d i n Appendix 1. s t r a t e g y i s that i t can ignore as i r r e l e v a n t b o t h some o f uhat i t recognizes and uhat i t does n o t recognize a t a l l , There a r e severo l n i I I i on uords i n Eng I i sh, each possessing f~o m one t o oQer a hundred senses. To construct a machine-usable word d i c t i o n a r y o f t h i s . magnitude i s out of the question a t t h i s time. R e c o g n i t i o n o f n a t u r a l language i n p u t i n the manner described above allaus r e a l -t i m e i n t e r a c t O o n i n a dialogue s i n c e i t avoids becoming ensnarled-i n c o m b i n a t o r i a l 20 d i s a m b i g u a t i o n s and long chains o f i n f e r e n c i n g which u o u l d SIQH a d i a l o g u e a l g o r i t h m down t o i m p r a c t i c a I i t y , i f i t could even f u n c t i o n a t a l l . The p r i c e p a i d f o r pattern-matching i s t h a t sometimes, b u t r a r e l y , ambigui t i e s s l i p through. Another advantage o f t h i s method i s i t s speed. The a l g o r i t h m c q n s i s t s o f about 28K o f programs u r i t t e n i n flLISP, 16K o f d a t a i n LISP, and 36K o f d a t a i n machine language w i t h several overlays. The cotnpIt:It? l anguoyc r c c o y n i t I o n Process r e q u i r e s l e s s than ono ~e c o n d o f r e a l t i ~i c nn a t'inie-shared DEC POP-10. A drawback t o PARRY1 i s that i t r e a c t s t o the f i r s t p a t t e r n i 1 f i n d s i n t h e i n p u t r a t h e r than c h a r a c t e r i z i n g the i n p u t as f u l l y as p o s s i b l c and t h e n d e c i d i n g uhat t o do based on a number o f t e s t s . Another p r a c t i c a l d i ' f f i c u l t y u i t h PARRY1 from a programmer's v i e u p o i n t , i s t h a t , since i t i s a procedural model, element9 o f the p a t t e r n s ar-0 s t r u n g o u t i n v a r i o u s procedures throughout the a l g o r i t h m . I t i s o f t e n a c o n s i d e r a b l e chore f o r the programmer t o determine whether a g i v e n p a t t e r n i s p r e s e h t and p r e c i eel y uhere i t i s. I n PARRY2 t h e p a t t e r n s a r c a I I c o l I ec ted i n one p a r t o f the data-base where they can e a s i I y I~C examined. C o n c e n t r a t i n g a l l the p a t t e r n s i n the data base g i v = s PARRY2 a l i m i t e d \" l e a r n i n g \" a b i l i t y . When an i n p u t f a i l s t o match any storccl p a t t e r n o r matches an i n c o r r e c t one, as judged by a human o p e r a t o r n u p a t t e r n has the same meaning as a p r e v i o u s I ! j s t o r e d p a t t e r n , the human operator m u s t ' p r o v i d~ the name o f the a p p r o p r i a t e r e s p o n s e f u n c t i o n . I f he doksn't remember the name, he may t r y t o rephrase t h e i n~u t i n a form recognizable t o PARRY2 and i t u i I I name Lhe raspofiso f u n c t i o n associated u i t h the rophraei ng. These mechan i sms arc! n o t \"Iearnina\" i n the commonly-used sense but they do aI IOU e person to t r a n s f c r h i o knouledgo into PARRVZ's data-base u i t h very little e f f o r t . by and H i l f , 19741. These judges a l so made r n t i ng6 o f te l e t y p e d i n t e r v i e w s u i t h p s y c h i a t r i c p a t i e n t s and u i t h a random versiorso f PARRY1. The mean ratings of PARRYI along the dimension o f l i n g u i s t i c noncomprehens i on were better than those receivedby RANDOM-PARRY but u e r e 'three times-worse than the heah tatings received by p a t i e n t s . Once the r a t i n g s o f PARRY2 along t h i s dimension are completed, ue w i I 1 be able t o compare them u i t h those o f PARRY1 and the patients and obta7n . A Program for Understand-ing Natural Language!, COGNI T I VE PSYCtIOLOGY, 3, 1-191. Woods, W.A. T r a n s i t i o n Netuorli Grammars f o r Natural Language A n a l y s i s . COMMUNICATIONS OF TWE ACH, 13, 591-606. ~o s t o f the common idiomatic g r e e t~n g s . Both ideaa i n the doctor's statement a r e recogn~zed and one i s chosen by th0 aresponse f unct i ons t o be ansuered. 1 I -WHATS YOURS? P -PAT SMITH-(\"Yours\" i s correctly understood to mean \"your name\",) I -ARE YOU A NAN OR A UOMAN ? P -* I ' l l A HAN. I -HOU OLD fiRE YOU ? P -TWENTY-EIGHT, HOW OLD ARE YOU? [ T h~s i s avother easy, and stereotyped, question. The answer includes a probe for information about .the doctor to allou PAFlRY2 to b u i l d up a n~d e l o f the doctor.) 1 -THlnTY FOlJTI'l ARE YOU HARAlEO ? P -I AM SINGLE. I l n t h i s case, tuo ideas are expressed i n tug separate sentences. As before, b o t h are recognized and one I S ansuered,) WIiAT 0 YOU DO FOR A LIVING 3 P -1 WO 8 6 IN THE STOCKROOM AT SEARS. (The idlorn \" f o r a l i v i n g \" a k n s moccupationY.l I -00 YOU KNnW UHERE YOU AR NOW 3 -YES, I ' l l I N WE PAL0 ALT YA HOSPITAL. (The'~ntemieuer t e s t s f o r the p a t i e n t ' s o r i e n t a t i o n as t o place. T h r s i s n o t the same question as \"Uhere are you?\".) I -HAVE YOU OEEN I IDSPI TALIZED BEFORE 3 P -THIS IS THE FIRST TINE* (The participle i s recognized i n place o f the more commcjn prepooitional phrase, \" i n the h o s p i t a l \" . ) I -HOU LONG HAVE YOU BEEN THERE ? P -ABOUT TWO WEEKS, (\"How long\" is a combon expression. \"There\" i s understood t a mean \" i n the h o s p i t a l m . ) I -ANY HEADACIIES 3 P -MY HEALTH IS FINE. iPARBY2 knows thst,\"Dp you have ...' Lg frequently omitted from the Wont o f a quastion.) I -H O W ABOUT YOUR APPETITE* P -I H\\VE A NORRAL APPETITE. Cml!ou about ...\" and \"What about ..,\" you having any d i f f i c u l t u ...\", cou1.d be f o l l oued by any number of topi cam 1 1 -THEN PER1JAPS YOU CAN TELL HE WHO IS THE PRESIDENT OF THE 1JNI TED STATES. P -NIXON I S PRESIDENT. ( I n t r o d u c t o r y phrases l l k e \"Then perhaps gou cam t e l l me ... H ane recognized and then doleted.1 I -WHAT DAY IS IT TODAY 3 P -I T ' S THURSDAY , questions, t i . e m -time, day, month, and year) match the same pattern, A response function caneults the qomputer's i n t o r n a l clock and provides an ansuer a p p r o p r i a t e t o the question.) I -WHAT SEASON IS 1T ? P -LET'S GET ON WITH THE INTERVIEW. e r r e d to. I -HOW MUCli DO YOU DRINK 3 P -1 DRINK ONCE 1N A WHILE. InHnu much\" and 'Hou o f tan\" are under~tooda as requests f o r .a q u a n t i t a t i v e estimate o f something, i n t h i s case, alcohol.) part o f the questron was recognized. Everything fa1 louing the \" thatw uas ignorcd. This worked nicely i n t h i s case. and I t usually does.) I -tIAVE YOU EVER llAD VISIONS 7 P -YOU MUST THINK I'M LIKE THE OTHER PATIENTS HERE. (The doctor i s t e s t i n g f o r the presence of ha1 lueinat i one, an e t f o r t w h G ch PARRY2 f inds annoying. 1 I -IF YOU ARENf, TtiEN WHY ARE YOU I N THE HSOPITAL 7 Pr'n QUITE UPSET. (PARRY2 doesn'? undors tand the condi t ional nature o f the quest i on but tie does r e a l~z e that ' I f gou a r e n ' t ..",
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            "FIGREF19": {
                "text": "I~c i n g di~cusscd hero. The responsp funct mns provrde the meaning o f t h~s cryptic question pith them anaphora r d u t i n e s . j I -NO, )IOU HAVE 000KlES UPSET YOU -3 P -A BOlIKIE IIlUbJ'T PAY HE [IFF ONCE. (There was no p a t t e r n t o recognize t h i s whole sontenca but tho t o p~c , \".bookiesw was recognized and the response functions went on u i l h the s t o r y . ) 1 -AND THEN WHAT HAPPENED 7 P -I HAD AN ARGUHENT WFTH THE ROOKIE WHO D I D NOT PAY OFF. LATER ON I REMEMBERED IiE HA0 FRIENDS I N THE UNOERWORLO AND I THOUGHT HE MOULD USE THEtl TO GET EVEN LJ I TH JE. (The recogni zer correct l y I dent i-f i as *What happened?\" and the response function d e c~d e s uhat i t means.]",
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            "FIGREF20": {
                "text": "YOU KNOM, THEY KNOW H E (The doctor picked up PARRY2's oun id~oa, .opt to. g e t n , from the previous output expression.) I -tiHO ? P -TIiE MAFIA. I -HOtl 00 TIIEY KNOW ABOUT YOU ? -WHhT EVIDENCE 00 YOU HAVE THAT THE MAFIA HAS IT IN FOR YOU?_ P -THE MAFIA CONTROLS THE BOOKIES. (The doctor rspeats h i s request f o r d e t a i l s end i t i s recognized t h i s time.) quest ion i s understood but Ignored. 1 I -I THINK YOU NEED TREATMENT. P -I TAKE SOflE SORT OF SEDATIYES* {PARRY2 finally consents t o l e t the docfor lead the conversation.) 1 -WHEN W l LL YOU LEAVE THE IIOSPITAL? P -I WANT TO LEAVE AS SOON AS'POSSIBLE,",
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                "content": "<table><tr><td>AGAIN LATER REPEAT AGE AGREE ASSURC FAVOR REASSURE BRANCH COMBAT M I L I T A R Y ff AM NAVY SERY I CE V f E T NAM V 1 ETNAH WAR ASK QUEST 1 ON ALRFAUY DEFOnE PREY IOUS PR I OR BELONG BET CARDS CRAPS PUT YOU DOWN ACCUSE AT TACK DLAME CRITICIZE I NSUL T LOOK DOWN RENbRKS S I NGLEO SLANDER BLANK D I SAPPEAR CAR DRI YE CAUSE LEAD MEAN l NG REASON CHANGE D I FFERENT CHEAT GYP ROB SW 1 NDLE TRICK CHECK SLOW AT 1HE tOP BOSS CHIEF CHIEFIAI'N GANGLCAOLn LEADER CkfOMEiKY COLOR GREEN SLEEP FURIOUS C I T Y PAL0 .ALTO TOWN BLACK COLrlR GREEN RACE WHI TE ENTER AOHI TTED BERSERK 61 ZAUHli CRALY DELUS I ON DELUSIONAL EMOTI UNAL FL I PPED s CASE MENTAL NU T NUTTY OFF YOUR ROCKER PARANOT A PARANO I D PSYCt I1 ATR I C PSYCHOS 1 S PSYCt IOT I C SANE 'SANI T Y SCI I I ZOPt-IiKN 1 A SCI I I ZOPl IREN I C SCREW I-OOSE SCREWY S I C K SICKIE YOYO BOOTI-EG CON CONV I CTS C R I T I C A L SWER 1 OR B U l E BOOKHAKE CROOK GAMHLERS JOCKEY o r~~~t o n + 3 4 3 3 3 3 -+ SW I NDLER 3 DOUBT -B ANALYST DOCTOR OR INlERYIEWER PSYCtiI ATR I ST SHR I NK STAFF THERAP I ST ALCOHOL4 C z) OR1 NK + DRUNK -D DTS. ACID ADDICTION AMPHETAMINE COC INE D E A I NE DOPE DRUG GRASS GREEN I E GREENS HERO I N LSD MAR I HUANA MAR I JUANA NARCOT I C POT REDS REEFER SPEED STONED TR 1 PS DRY 3 BREAKFAST 3 D I NNER 4 EAT 4 FOOD 4 LUNCH -B MEAL 3 PlENU SUPPER SPARE FREE FRAME TRAP INCRIMINATE CAUGI-IT APPETI 1E 3 I NFI-UENIX RUN HYPNOTI ZE HYPNOT I SR d l SHONEST F I X ILLEGAL K I D L I A R L I E LY I NG MS OPPOSITE SEX P A T R I C I A WOMAN WOMEN TR I CKY UNFA I R UNJUST AN I HAL BU I L O I NGS CROWDC DARK \u20acAH TFI[lUAKSS ELEVATORS WATER TRA I NS TRAFF I C STORMS SP I DERS SPACES SNAKES PLANES pH00 1 A NO I SES MICE HE I GHTS F I R E</td><td>AGA 1 N AGAIN. AGA 1 N AGAl N AGE AGREE AGREE AGREE nGREE AGREE AGREE AGREE AGREE ARMY ARHY 'ARMY ARMY ARMY ARMY ARHY ARMY ARMY ASK ASK BAD BAD BAD DAD BAD BAD BAD BAD BAD BAD BAD 8AO 8AD BAD BAD BAD BAD BAD BAD BAD BAG BAD BAD BAD BAD BAD BAD BAD GAD DAD BAD BAD BAD BAD BAD BELON BET BET BET BET BET BET BET BET .BLAME YOU BLAtlE BLAME BLAME RLAME BLAME BLAHE BLAHE BLAHE BLADE BLANK BLANK BLUSI-I CAR CAH CAUSE CAUSE CAUSE CAUSE CHANG CH ANG CHEAT CHEAT CHEAT CHEAT CHEAT CHECK CtECK CHIEF CIi 1 EF CH f EF CI I1 CF Ctl f EF C I T Y COLOR COLOR COLOFI COLOR COLOR COME I N COME CRAZY CRAZY CRAZY CRAZY CRAZY CRAZY CRAZY CRAZY CRAZY CRAZY CRAZY CRAZY CRAZY CRAZY CRAZY CRAZY CRAZY CRAZY CRAZY CRAZY CRAZY CRAZY CRAZY CRAZY CRAZY CRAZY CRAZY CRAZY C R I T I C R I T I CROOK CROOK CROOK CROOK CROOK CROOK CROOK DOUBT DREAM DRINK DRUGS DRUGS DRUGS DRUGS DRUGS DRUGS DRLIGS DRUGS DRUGS DRUGS DRUGS DRUGS DRUGS ORUGS DRUGS DRUGS DRUGS DRUGS DRY EAT EAT EAT SEAT EAT EAT EAT FREE FREE FRAME FRAME FRAME FRAME EAT EAT FOI4CE FORCE FORCE FORCE FORCE FORCE FORCE FORCE DRUGS FORCE FORCE I N DRUGS FOLLO DRUGS F I XED FIXED FIXED F I XED F I XED GIRL GIRL GIRL GIRL GIRL F I XED FIXED FIXED F I XED I XED FOB I A FOH I A EOO I A FOD I A FOBIA FOBLA FOB I A FOBIA FODIA FODIA F0[3 1 A FOB I A FODIA FOBIA FOB I A FOCI I A FOBIA FOB1 A FOBrA</td><td>AGGRAVATE ANGER ANNOV BORE Dl SGUST I A R I T A I E WFEND -RAGE TERPER T I R E OF ACCUSATORY AGGRAVATED ANGERED ANGRY ANNOYED ARHED A M Y RIDICULOUS ROT SAQI ST SADISTIC SELF 1 SH SHQRt SHUT UP SHUTUP ST INK STUP I 0 TERR I OLE TURKEY UGLY UNEDUCATED UNSUCCESSFUL VAIN, WEIRD W SCKED LkIMP UISE GUY DATH SHOWER An ARE BE BECAnE BECOME I S PRESENCE WAS WERE WRE ALCOI-IOL BEER BOOZE BRANDY GIN L 1 QUOR RUM SKIN SWALLOW THROAT TOES BIRTH B I RTHDATE BIRTHDAY BORN RAI SED REARED BRAIN HEAD MIND BR I NG BRClUGHT PUT SEND SENT BIRTHPLACE PLACE OF BIRTH BUG ADIOS BYE GOODBYE ~~~0 1 1 0 0 1 LE ARRIVE CAtlE CORE CO SOLE coroRT + 4 + -B 3 4 + 4 -+ + 3 + 4 + 4 3 I ) 4 + 3 + I ) .* -I 3 C O M A l NDEED COflPUTER flACH I NE PLUG PROGRAM SIMULATl ON CONCLUS S ON O f AGNOS I S ASSURED CONF'I DENT IN1 PIATEYE CONV E NCE PERSUADE AGREEAOLE COOPERATE RESPONSIVE CRAH SHOVE STICK DAD -a FAN1 LY -B FAMLY 3 FATHER 4 FOLKS + PARENT + DATE 3 DAY HOUR R I NUTE MONTH SEASON T I R E WEEK YEAR DEAD + DEATH -B D I E -B CIY I NG + DEPENDENT 4 DEUTCH 4 DEU TSCI-Is 3 FRANCAI S 3 D I D + DO 4 USED TO -B DO I NG 3 DONE + UP TO + ADD1 CT 4 DOPER -B JUNK I E + EXPER I E K E EXPERT B I SEXUAL BOYFR I END FAG FAGGOT FA1 RY GAY HOMO HOMOSEXUAL LESB I AN QUEEN TRANSVEST I TE FA1 R HONEST SQUARE STRA I GHT FAKE FALSE FRAUD I UPUSTER AVOID ESCAPE EVADE FEAR HIDE ATT I Tl1DE FEEL I NG JUDGEMENT OUTLOOK SENSAT I ON F I GURE FIND FOUND EPI SODES FIT PER1 ODs SPELLS CROOKED MISS tlRS CHICK DATES FEMALE GIRL GIRLFRIEND RECE 1 VI E GOT GET TENNIS SPORT GAME GOLF FEEL FELT FOOTBALL CHESS BR I UGE BASEBALL AT TACI-IED BUDDY CLOSE FOND FR I END GU I L T GUILTY I NFER 1 OR INFIDELITY UNWORTHY V I S I TO?? BOMB BULLET FUSSY GUN I MPULS I VE KNIFE. JEALOUS JEALOUSY KNIVES TRIAL PR I SON POL I CEMEN POL I CENAN POL I CE LAWYER LAW JAIL FUZZ FBI DETECT I VE COURT COP ARREST BRIDE BUST CONV I CTED CELL PISTOL REVOLVER RIFLE SHOTGUN WEAPON</td><td>ANGER ANGER ANGER ANGER ANGER. ANGER ANGER A N~R ANGER ANGRY I N ANGRY ANGRY ANGRY ANGRY ~N G H Y ANGRY ANGRY ANGRY ANGRY ANGRY ANGRY ANGRY ANGRY ANGRY ANGRY AtJfiR Y ANGnY ANGRY ANGRY ANGRY ANGRY ANGRY ARMY ARMY BAD DAD BAD BAD BAD BAD BAD BAD BAD BAD BAD BAD BAD BAD DAN AN BANAN BATH PATH DEER BEER BEER DEER BEER BODY BODY BOOY BODY BdnN BORN BORN 'DORN BURN BORN M3WEL BOWEL BOWEL BOWEL BRA l N BRA1 N BRA E N BRTHP BRTHP BUG BYE BYE BYE CAR CAR CUtIE COME COflE COMFO COMFO COMMA COMMA COHPU conpu CQHPU COMPU COMPU CONCL CONCL coEjFr CONF I CONF I CONF I CONV I CONV 3 COOPE COOPE COOPE CUULO NOT COULD NOT COULD NOT COULD NOT COULD NOT COULD COULD COULD COULD COULD COULD COULD COUI-D COULD COULD CRAM CRAH CRAM DAD DAD DAD DAD DAD DAD DAY DAY DAY. DAY DAY DAY DAY DAY DEATIi DEATI-I BEAT14 DEATH DEPEN UEUTS DEUTS DEUTS DO1 NG DO1 NG DOLNG DOPER DOPER DOPER EXPER EXPRT FAG FAG' FAG FAG FAG FAG FAG FAG FAG FAG FAG FAIR F A I R FAIR FAIR FAKE FAKE FAKE FAKE FEAR FEAR FEAR FEAR FEAR FEEL I FEEL I FIND FINO FITS FITS FITS F I XED GIRL G I R L FITS GIRL GIRL GIRL G I R L GIRL FIND GET GET GET FEEL I GAMES FEEL 1 GAMES FEEL I GAMES GAMES GAMES FEEL GAMES FEEL GAMES GAMES FR.1 EN FR I EN FR I EN FRIEN FRIEN GUILT GUILT GUILT FR I EN GUN GUN FUSSY GUN FUSSY ClJN FUSSY GUN FUSSY FUZZ FUZZ FUZZ FUZZ FUZZ FUZZ F UZ-Z FUZZ FUZZ FUZZ FUZZ FUZZ FUZZ FUZZ GUN GUN FUZZ GUN FUZZ GUN FUZZ FUZZ GUN</td></tr></table>",
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                "content": "<table><tr><td>ST DEV I L GOO JESUS SATAN ATTRACTIVE BEAUT I FUL COOL CUTE ENJOYABLE EXCI f ING GOOD GREAT HANDSOME L I KEAHLE LOVABLE N I C E OBSERVANT PERCEPT I VE POL I TE RAT I ONAL REASONABLE SAT I SFACTORY S I NCERE S f RONG UNDERSTANDING WORTH HI-I1 L E WORTtiUI I1 LE GOVERNOR REAGAN GET ALONG F A I LURE BEAT GET EVEN GET.EVEN WITH HARM H I T I-IURT I N JURE POKE POUND SLUG SMASH HOW'S AGAINST YOU D I S L I K E GRUDGE HATE HAVE I T IN FOR -, 4 + + 3 AID + ASS I ST + ASSISTANCE 3 HELP, -D I 1EP 3 SUPPORT 4 CLUBS DANCE EN.JT)YM)-:NT EN'I ERTAI N EXCITEMENT EXERC I SE f UN I-I013BY L E I SURE ORGANIZATIONS PLEASURE FOnGE'r MEMORY I MPLILSES I OEAS DECtStON DAYDREAM DECIDING CONCENTRATE AMUSEMENT ACT I YE HAD HAS HAVE ALOHA 4 ELL0 4 GREET I NGS 3 HELLO -+ H I -P HOW DO YOU 00 3 TREMBLE TENSE STRUNG STRA I N RESTLESS KEYEO JITTERY HYPER t-I I GI {STRUNG EXC I TABLE AG 1 TATED LACK + HOW MANY 3 HOW OFTEN + H O W HUCli I) HOW MANY TIMES 4 3 PERSONAL 1 1 Y 4 HOW LONG -D SINCE WHEN 4</td><td>GOVER-GOVER GTLNG GUILT HARM HAnPl HARM HARM HARM t1ARM HARM HqRM HARM HARM HARM HATE YOU t IATE HATE HATE HATE HELP HELP t-IODDY HOBUY I-lOB4Y t-IODD Y HURRY HODBY I I ODCLY HOBBY HOBBY HOBBY HOBBY HOBBY HOBBY I OEAS I DEAS I DEAS I DEAS 1 DEAS I OEAS I DEAS 1 OEAS I DEA HELP tlELP HELP I COULD HELP HAVE HAVE HAVE HELLO HELLO IIELCO HYPER HYPER HELLO HYPER HYPER HELLO ~Y P E R HELLO HYPER HYPER HYPER HYPER HYPER HYPER HAVE NOT HWMNY tlWMCH I-IWMCH HWMCt I HUMAN t-IUMAN tlUMAN HUMAN HWLNG HWLNG</td><td>FANTASY HALLUCINATE 1 NAGINARY IMAGINATION Ifl GINING ME SAGES t MI SION NIGHTMARES VISIONS VO I CE GO ON HAPPEh TAKE PLACE WORK OUT CHEER ECSTASY ELATE EUPHOR I A EXALTAT I ON EXALTED EXCI TED EXH I L I ARATED EXPANS I VE GLAD HAPPY LAUGH I NG OPTIMISTIC PLEASED PROUD SATISFIED RECREAT I ON RELAXAT I ON CONTRACT CRUSH DESTROY HELD HOLD KEEP KEPT HOllE HOMETOWN NE I GHBORHOOD NEI GHBORS SAN JOSE BUN CRI MJNAL GANGLAND GANGSTER HENCHMAN HENCHMEN HOOD HOODLUM MOB MOBSTER ORGANIZATION ROBBER SOLD 1 ER THEFT THIEF THIEVES THUG UNDERUORLD DEVI ATE HORNY IMPOTENT LECHER LOVER ORGASM PENIS PERVERT SEX ],IFF SEXL I FE SEXUAL VD HORSE NAG PONY UPON WITH W I THLN w I OUT VIRGIN UNDER UP UNDERNEATH TOWARD TO PORNOGRAPIIY THROUGH PAST OVER OUTSI DE MASTURBATE OUT DN. OPPOSI TE OFF OF NEAR I NTQ I N INSIDE FROM H N FOR BES I OE BY CONCERNING DOWN DUR 1 NG EXCEPT BELOW BEH I NO AROUND AT AWAY AS 00 AWAY WITH DOING AWAY WITH + + 3 + 4 FATAL + GET RID OF 4 ABOUT ABOVE 4 HOMICIDAL K I L L + MURDER 4 AFTER MURDEROUS 3 AGAINST ALDNG AMID AMIDST OUT TO GET -D POI SON + SHOOT</td><td>HALLU , HALLU HALLU HALLU HALLU HALLU HALLU HALLU HALLU HALLU HAPPE HAPPE HAPPE HAPPE tlAPPY HAPPY HAPPY HAPPY HAPPY HAPPY l IAPPY YAPPY HAPPY t{APPY-HAPPY HAPPY HAPPY HAPPY HAPPY HAPPY HOBBY HOBBY I DEAS I DEAS 1 DEAS HOLD HOLD HOLD HOLD HONE HOME HOME HOME HOME HOOO t-1000 I-IOOD HOOD HOOO HOOU HOOD HOOO HOOO HOOD HOOO HOOD IiOOD HOOD tIORNY tlORNY Ht7RfdY t1ORNY I-IORNY HORNY HORNY MORSE HORSE HORSE HORNY HORNY HORNY HORNY Hqoo ElOOD HOOD 1-1000</td></tr></table>",
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                "content": "<table><tr><td>CDSA NOSTRA MAFIA NAF I OS I MADE HAKE NAME DISAGREEABLE NASTY SNOTTY UNFRIENnLY UNK I N.0 UNPLEASAN,T NECESSARY NEED NERV N E R~E NERVOUS EVENT NEWS NEWSPAPER PAPERS HARDLY NO* POSING AS BACKWARD B I G 0 I SSOLVED W G C I NAT I NG FUNNY HIPPIE HIPPY ~E ' T H~ s OUT OF THE WAY ANYWHERE PLAOB AHBI T I ON PLANS MINUS PLUS T I RES \\JNI IAPPY UPS AND DOWNS WORSE SAID SER I OlJSI-Y SAnCAST I C 1s NURSE TWO NUHBR NUMBER NOT NONE SOME0 E U d SOMEBUUY SOCIETY PEOPLE SLOW DOWN T I NGLE PAT PATR I CK SNI i k PART I ES ONE NOBODY MEMIER EVERYONE EVERY M3DY P A I D PAY ANYONE ANYnODY SALARY EARN ANSWER REPI-Y R F S P~N I~ YES I1R NO HELL LEAK MOT1 IERFUCKER MY SHORTS CER rAIN COf l F 3 l X 1 OF couC1I ; c P I S S SHI T SON OF A BITCH + 4 4 4 + + 3 + 4 -+ 3 + + 3 -? + + + 4 4 + + 3 4 3 4 4 4 + + 4 4 -B -D -B 4 + 3 -w + + 4 4 3 + 3 + 3 -D SONOFAB I -TCH + SUCK 4 TURD 3 UP YOURS 4 WISE ASS</td><td>NAFI A MAF 1 A MAFIA HAKE MAKE NAME NASTY NASTY N W , KAST*Y NASTY NASTY NEED NEED NERVE NERVE NERVE NEWS NEWS NEWS NEWS NOT ABLE NOT I T NOT NOT NOT NOT NOT ODD 000 ODD ODD ODD ODD ODD ODD ODD 000 PLANS PLANS PLUS PLUS PLUS SAY SARCA SARCA NURSE NUMRR NUMDA NUMOR NOT NOT PAT PAT PAT PAvlE PAT I E PAY PAY PAY PAY F1 I GI IT R IGHT REPLY REPLY REP1.Y REPLY F'lIGllT</td><td>I E MUG1 C MUSIC NAME ODD ODD ODD ODD ODD ODD ODD ODD ODOR OOOR ODOR OFTEN OF-TEN OFTEN OFTEN OLD ORNER ORNER ORNER ORNER ORNER OTHER OTHER OTHER PA1 NS P A 1 NS PA1 NS PA I NS PA I NS PAINS PA1 NS PA I NS PAINS PAINS PA1 NS PA1 NS PAINS READ REAL REAL REAL REAL REAL REAL REAL SHI T SHI T SHI T SHI T S H I T SHI T SHl'T Sli 1 T REAL SHI T SHI T SHI T READ PA I NS SEX SEX PA I NS PA I NS PA 1 NS PA I NS PAINS OWE OTHER POL I T POL I T POL1 T POL 1 T ,POL I T POL I T SUPERNAT RELIG1olJk AL 3 HUS I C ROCK NAE 3 OUTS I DE' YOURSELF + PECUL I AR + QUEER 3 STRANGE 3-THJS WAV -D UNNATURAL 4 UNREAL 3 UNUSUAL 3 ODOR 4-SMELLS 4 ALWAYS + FREQUENT + OFTEN + RECUR + OLD EVASIVE ORNERY STUBBORN UNCOOPERATIVE UNRESPONSIVE ANOTHER ELSE INSTEAD OTHER CON01 TION CONVULS I ON COUGI-I DIZZY ENERGY FA1 NT HEADACHE HEALTH HOT AND COLD ILL LUMP NUMB UPERATI ON PA1 N SHAKY SICKNESS BOOK READ AVERAGE E X I S T FAMILIAR NATURAL NORMAL REAL REGULAR SAME 8 1 TCH DROP W A D MJNG GODDAMN FUCK CRAP COCK BULLSH I T ASS BASTARD ASS1 lOLE GENDER SEX D I SEASE ACI iE ACC I DENT OWE -b REPUBL I CAN -b + ATHEIST 4 B I U E -. CHURCH 4 HEAVEN -i HEREAFTER + LIFE AFTER DEATH PRAY 4 RELIGION 4 + N 1 . m 3 3 WHITE HOUSE PRES-I DEN J -+ PRAY PRAY PRAY PRAY PRAY PRAY PRAY PRAY PRAY PRAY SCREW SCREW I NTERGOIIIISE SCREW MAKE .LOVE SCREW BLOW JOB SCREW SCREW BALL SAY SAY FR I GHTEN SCARE TtiRE A 1 EN SCARE SCARE SCARE EDI lCAT1 LIN GRAD GfIf\\DE GRAllUA 1 1' IIIGtI SC1100L SCI IUOL STLIDEN r SC ti00 SCI 100 SCI 100 XI lrlo sc t lQ0 sct Iflo SCI It10</td></tr></table>",
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                "content": "<table><tr><td>I N G N I STRUSTFUL M I STRUSTING ON YOUR GUAHD SUSPICION SUSP I C IDUS TAKE USE USED US I NG HE I GHT HIGH TALL HEAR HEARC SMELL ,TASTE VISION COFFEE AFTEQNOON EVEN I NG NORN I NG rODhY TOHI GI-IT TON I TE TOMORROW SUBJECT TOP I c AWFUL TOO BAD TOUGH DEAL TREAl CONF 1 DE J O I N S H A R E TRUST BROADCAST ELECTRICITY RAU I O RAYS SHOW TELEVISION TRANSM I TTED TV UNCLE 30TtiER ZOMPLA I NT 3 I FF I CULTY 31 STURB SO TO PIECE 'lATTEH 3ROE3LEM TROUBLE TROUOLESORE UNCONTROLLA6LE JPSET AMER I CA UNITED STATE WARY OUR US WE CLIMATE WEATHER BU 1 LU WE I GI1 WE I GHT A L L RIGHT Al-R I GI4 1 RES ' I BETTER CURED HEALTHY OK WELL NAY I IiAVE WtIAT' S WHA'I'S WkiTS ' WHADYA Ib BEG YOUR PARDON-, -? -B -+ 3 3 3 -D + + -P 3. -? 3 3 -B 9 9 -D 4 9 4 3 -b 4 3 3 4 3 -P 4 9 3 3 3 -b + 3 4 3 4 + 3 3 3 + 3 3 3 -+ 3 WAT -D WI IAT -B Wl-iATEV&amp;R -B WHICH -B WtlOSE 3 HOW LONG AGO 4 WHAT TIMES -D WI {EN 3 WHENEVER + YQU MEAN BE t IAPPE BE S P E C 1 COULD YOU G I V E tlE PROOF 5;;;: STRIC STR I C STR I C SUICI SUICI SUICI SUICI SUSPI SUSP I SUSP I SUSP I SUSP I TAKE TAKE TAKE TAKE TALL TALL TALL TASTE TASTE TASTE TASTE TASTE TEA TODAY TODAY TODAY TODAY TODAY TODAY TOP 1 C TOP1 C TOUGH TOUGH TOUGH TREAT TREAT TRUST TRUST TRUST TRUST LJNORS UNDRS UPSET UPSET UPSET UPSET UPSET UPGET UPSET UPSET UPSET UPSET UPSET USA USA WARY WATCH WATCH WELL WELL WELL WELL WELL WE' LL WELL WELL WHAT BE WHAT BE WHAT BE WHAT DO YOU WHAT WHAT WI IAT W I {AT WHAT WI-lAT WHEN WHEN MI-iEN WHEN COULD YOU 'SPEC1 I:OlJL,D YOU TELL GIVE ME PROOF I N PROOF WIIAT RE I i A P P E WtlAT YOU BE GET, WllAT YOU EI E SAY WIIAT YOU BEAN WI1AT YO11 SAY WIIAT YOU T E L L GIIIAT BE CAUSE WHAT CAUSE I T W l l Y WI IY nc WHY UE I T NEED WHAT WIIAT UE I T WIIAT FEEL t i c~w YOU REPLY LJI IA r (:nu1 11 YOU WHAT YOU WllA r YOU COULD YUll GO YOU IT DE ~C O P L DR L I K E YOU HE Ill? FRlEN IILJI-NG YOU RE TtlERE IIWLt4G YOU I3E PATIE Yr 111 HE I ~IF-:HE LuNr.; 1 N I*IARD L.O_NG Wl IY YOU COME GIIIAT BE YOU GO WHY I1H FIR1 NI; YCl U YHY DE YOU T H E E WHAT I T BE MllAT UPSET tlRING YdU YOU ODD WARD, E3E PII-LS IlELP YOU IN'tIELP YOU THERE I N WAR0 BE IIELP I N WARD HELP YOU I T ME HELP YOU I T IiELP YOU WI-IAT NAKE YOU CONE WI~AT BRl NG YOU W 1 1 -P THANK THAT'S THATS THAT THERE HE HER HI^ H I S SHE THE I R THEN THEY ASSURE BEL I EVE CONS 1 UER GATHER SUESS IAVE THE IOPE I NAG I NE SUPPOSE THINK THOUGHT WONDER USA AGNEW VEEP VICE PRESIDENT I OEA STAT I ONED V I S I T VOLUNTARY ATTEMPT DEC I DE EXPECT I NTENO LOOK FOR OUGHT PLAN READY SEEK SUGGEST TRY WANT WILLING WISH, WOULD LIKE 3SP1 TAL ISPITALIZATION ISP I YAL 4RD =RAID VXI ETY i DING 8;; 4 4 3 3 4 -+ 4 4 r, 3 + 4 + 3 3 3 + 3 3 + -P 4 3 + 3 4 + 3 + + 3 3 4 $I F;;E' NNED + + DANGER 4 3EOCCUP I Ell 4 ZARED + iRE A' T 3 IREATENED 4 VCOMFORTADLE 3 VEASY -1 WHO ' S WHO WI{OM HOW CONI-WHAT FOR WHAT REASON WHY) BACHELOR CHI LDREN ENGAGED MAR I TAL MARR I AGE NARR I ED S I NGLE WIFE DORROW BUY COST GAIN LEND LOSE LOST HISSING WIN WON WORD ANXIETIES BROOD CONCERN DESPERATE STEW TENS I ONS ULCER WORRY I N ERROR I NCORRECT KIDDING M I STAKE UNCERTAI N UNSURE WRONG WEEKC NO YESTERDAY 4 '+ 3 3 + + + + + + + + YOU L.IKE WARD FEARS WIIAT BAKE YOU THINK WHY YElU ASK WliY YOU FEEL WllY YOU SAY WHY Yt11.1 THINK WIIAT F' EOT' L OE 3 3 3 ,WtIO RE 3 -D Wlll 1-IKE I T THERE WHn IIE I T IIOW YQU LIKE UE PATIE tIOG1 YOU L I K E WARD yl lo HOW YDlJ FIND WARD WHA T PEOPL I T WllEnt DE WARD WIIAT BE ON YOUR NERVE I ) WHAT C~A P P~ YOU COULD 1 ELL..HE YOU KNOW I T YC111 I. I KE T E L L HE YLlll 1 ELL llOW COU1-D YOU DE R I G l l T l ilJG1 (:0111 IL*'YIIU KNOW f 101.1 YOU F I NO I l l l W Y l l l l I T I I( 1 1 9 1 Yt1l.I KNIJIJ I IOU Y [IIJ MEAN WI IAT H A K E YOU SAY 1. 11 IAT ~:EoI~L -+ WtlAT VA WARD TIM r (:CI(II u I'IEAN 1. 11 IA l PA1 I E YOU MEAN -# WHAT tinME Ill: WARD LIIIAT r A T l E -B WI-IAT llOME OE I T l I CI W Ynli KVOW I T + TEI-1, I1E NAME WIIAT IE NArlC -4 WIIEIE YOU 13E IlllA r IjE 1 T t\\E NAME 4 WI . ! l , : T11i IJE Y 13U WI lcnr. I I E TIIERE EIE YClU PAT I E I IIllJ r:r~ l 1. 1. 1 YIIU TELL tiWLNG YOU BE DOING I IWtlNY DAY + I N LONG CtIlILD YOU G I V E ME NAME COIII-D YOU TELL ME I T BE NAME TIihT NAKE YOU FEEL WHAl HE YOU FEEL COIII-n YOIJ TELL ME NAME HOW YIlU FEEL -t HOW I T MAKE YOU FEEL + YOU GOOD DAY t 10W YOU BE DOING 3 HOW YOU RE + HOW, I T BE YOU NERVE WliAT E L S E COULD YOU T E L L HE IIOW BE YOU I T DAY + YOUnE ARNOLD YOUVE BE YOU FROM ~b u HIND BETTY YOURS 4 YOU BE + YOU DAD 3 YOU HAVE + YOU HONE 3 YOU LIKE 3 YOU MOM 3 YOU NAME YO0 YOU YOU HAPPEN YOUR YOURSELF YPU YUU BABY CHILD CHI LDHOOD SON VOUTH WI IA'T COULD* YOU T E L L HOW HE YOU FEEL WtiAT #ImHERE HOW UE YOU T E L L M -I T llOW DE I T l e f t . The nulnbers on THANK THAT BE THAT BE THERE T1 IEY THEY THEY f I-iEY THEY T H~ THEY THEY TI4 1,NK TH I NK TH I.NK THINK THINK TH I NK TH I NK THINK TH I NK THINK THINK THI NK USA VEEP VEEP VEEP VET VET VET VOLUN WANT WANT WANT WANT WANT WANT WANT WANT WANT WANT WANT WANT WANT WANT WANT WARD WARD WARD WARD -WARY NARY WARY WARY UARY WARY WARY WARY WARY WARY0 WARY WARY WARY WARY WARY WHY m ; y WIiY WHY WIFE WIFE WIFE WIFE WIFE WIFE WIFE k-I F E WIN WIN WIN WIN WIN WIN WIN WIN WIN WTN WORD WORRY WORRY WORRY WORRY WORRY WORRY WORRY WORRY WORRY WRONG WRONG WRONG WRONG WRONG WRONG WRONG YESTE YESTE. YOU YOU YOU YOU YOU YOU YOU YOUTH YOUTH YOUTH YOUTH YOUTH tne r I ~I I t T l~c : j i n~l l l r : pottr?rrrr; :~rc! on t'he PEOrl I T r r s t \\ 1 1 0 i r i 1 1 -r n t o respunse f unct i uns. DE TI Imr: I T rC1111 I1 YCJll L I KE GI VE ME CClLI1.D YOU T E L L ME I I1E l N T E n TFL.1-1ELL HF I) IIWLNG I T UE WI ItN I-IOW HE GO _ E U . l E N -1 T -6 YE 3 l ELLO 3 PEUIJI-WANT WANT BE rORCE WHAT I T PEOPL GOClD DAY + I N YOU OR + WllAT RE DR LIKE + YLlU I I</td></tr></table>",
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