| { |
| "paper_id": "O15-1005", |
| "header": { |
| "generated_with": "S2ORC 1.0.0", |
| "date_generated": "2023-01-19T08:10:29.861683Z" |
| }, |
| "title": "Textual Analysis of Complete Tang Poems for Discoveries and Applications -Style, Antitheses, Social Networks, and Couplets", |
| "authors": [ |
| { |
| "first": "Chao-Lin", |
| "middle": [], |
| "last": "Liu", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Chun-Ning", |
| "middle": [], |
| "last": "Chang", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Chu-Ting", |
| "middle": [], |
| "last": "Hsu", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Wen-Huei", |
| "middle": [], |
| "last": "Cheng", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "whcheng@nccu.edu.tw" |
| }, |
| { |
| "first": "Hongsu", |
| "middle": [], |
| "last": "Wang", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "\u222ehongsuwang@fas.harvard.edu" |
| }, |
| { |
| "first": "Wei-Yuan", |
| "middle": [], |
| "last": "Chiu", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| } |
| ], |
| "year": "", |
| "venue": null, |
| "identifiers": {}, |
| "abstract": "The Complete Tang Poems (CTP) is the most important collection for studying Tang poetry, which in turn is arguably a very influential part of the Chinese literature. Our analyzing the CTP from the perspectives of antithesis 2 , collocation and distributional semantics offers some interesting overviews of the styles and imageries embedded in the works of some representative Tang poets. Our analyses include (1) a quantitative comparison of the uses of \"wind\" and \"moon\" in Li Bai's and Du Fu's works and (2) the functions of colors in Tang poems. In particular, we explored the appearances of \"white\" color, which is the most frequent color in Tang poems. Colors in static poems are like audios in motion pictures, so we thought the analyses could lead us to an important facet of the poems. In addition, we extracted social networks of poets from the poems, and built a simple couplet suggestion kit based on the textual analysis of the poems.", |
| "pdf_parse": { |
| "paper_id": "O15-1005", |
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| "abstract": [ |
| { |
| "text": "The Complete Tang Poems (CTP) is the most important collection for studying Tang poetry, which in turn is arguably a very influential part of the Chinese literature. Our analyzing the CTP from the perspectives of antithesis 2 , collocation and distributional semantics offers some interesting overviews of the styles and imageries embedded in the works of some representative Tang poets. Our analyses include (1) a quantitative comparison of the uses of \"wind\" and \"moon\" in Li Bai's and Du Fu's works and (2) the functions of colors in Tang poems. In particular, we explored the appearances of \"white\" color, which is the most frequent color in Tang poems. Colors in static poems are like audios in motion pictures, so we thought the analyses could lead us to an important facet of the poems. In addition, we extracted social networks of poets from the poems, and built a simple couplet suggestion kit based on the textual analysis of the poems.", |
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| "section": "Abstract", |
| "sec_num": null |
| } |
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| "text": "1 A similar English version of this paper will be published in the proceedings of the 29 th PACLIC conference (Liu et al. 2015 (Harris 1954, Miller and Walter 1991 ) \u70ba\u57fa\u790e\u7684\u5206\u6790\u4f86\u89c0\u5bdf\u8a69\u4eba\u7684\u98a8\u683c(style)\u3002\u6211\u5011\u4e0d\u50c5 \u5206\u6790\u8a5e\u5f59\u7684\u5171\u73fe\u95dc\u4fc2(collocation)\uff0c\u4e5f\u5229\u7528\u5f8b\u8a69\u7684\u5c0d\u4ed7(antithesis)\u898f\u5247\uff0c\u5206\u6790\u4e86\u5510\u8a69\u4e2d\u984f \u8272\u8a5e\u5f59\u7684\u4f7f\u7528\u60c5\u5f62\u3002\u8a69\u6b4c\u4e2d\u7684\u984f\u8272\u53ef\u4ee5\u6bd4\u55bb\u70ba\u96fb\u5f71\u4e2d\u7684\u8072\u5149\uff0c\u5c0d\u65bc\u8a69\u6b4c\u6240\u71df\u9020\u7684\u610f\u5883\u6709 \u91cd\u8981\u7684\u5f71\u97ff\u3002\u8a69\u6b4c\u4e5f\u50b3\u905e\u4e86\u5510\u4ee3\u6587\u4eba\u4e4b\u9593\u7684\u4eba\u969b\u95dc\u4fc2\uff0c\u53ef\u4ee5\u900f\u904e\u8a69\u6b4c\u7684\u6a19\u984c\u548c\u5167\u5bb9\uff0c\u767c \u6398\u6587\u4eba\u4e4b\u9593\u7684\u793e\u6703\u7db2\u8def\u3002\u6700\u5f8c\u6211\u5011\u4ee5\u300a\u5168\u5510\u8a69\u300b\u70ba\u57fa\u790e\uff0c\u5efa\u69cb\u4e00\u500b\u985e\u4f3c\u5fae\u8edf\u4e9e\u6d32\u7814\u7a76\u9662 \u7684\u300c\u96fb\u8166\u5c0d\u806f\u300d\u7cfb\u7d71\uff0c\u53e6\u5c07\u5510\u8a69\u4f5c\u54c1\u5206\u70ba\u521d\u5510\u3001\u76db\u5510\u3001\u4e2d\u5510\u3001\u665a\u5510\u8a69\u4eba\u4f5c\u54c1\uff0c\u505a\u70ba\u5c0b\u627e \u5c0d\u806f\u8a5e\u5f59\u6642\u7684\u57fa\u790e\u8cc7\u6599\uff0c\u85c9\u6b64\u6bd4\u8f03\u4f7f\u7528\u4e0d\u540c\u6642\u671f\u4f5c\u54c1\u7684\u5f71\u97ff\u3002 \u6211\u5011\u5728\u7b2c\u4e8c\u7bc0\u8aaa\u660e\u6240\u4f7f\u7528\u7684\u300a\u5168\u5510\u8a69\u300b\u7248\u672c\u548c\u4e00\u4e9b\u76f8\u95dc\u7684\u57fa\u672c\u5206\u6790\u3002\u5728\u7b2c\u4e09\u7bc0\uff0c\u6211 \u5011\u4ee5 distributional semantics \u7684\u89d2\u5ea6\u5206\u6790\u548c\u6bd4\u8f03\u674e\u767d\u8207\u675c\u752b\u4f5c\u54c1\u4e2d\u7684\"\u98a8\"\u548c\"\u6708\"\uff0c\u4e26\u4e14\u4ee5 \"\u767d\"\u6240\u69cb\u6210\u7684\u8a31\u591a\u8a5e\u5f59\u70ba\u57fa\u790e\uff0c\u4f8b\u5982\"\u767d\u96f2\"\u3001 \"\u767d\u982d\"\u3001 \"\u767d\u7389\"\u3001 \"\u767d\u99ac\"\uff0c\u89c0\u5bdf\u8a69\u4eba\u7528 \u5230\u9019\u4e00\u4e9b\u8a5e\u5f59\u7684\u6bd4\u4f8b\u4ee5\u6bd4\u8f03\u8a69\u4eba\u7684\u98a8\u683c\u3002\u5728\u7b2c\u56db\u7bc0\u4e2d\uff0c\u6211\u5011\u4ee5\u5c0d\u4ed7\u898f\u5247\u70ba\u57fa\u790e\uff0c\u66f4\u52a0\u6df1 \u65e5\u4f9d\u5c71\u76e1\" 14 \u662f\"\u767d\u65e5\"+\"\u4f9d\u5c71\"+\"\u76e1\"\u7684 2+2+1 \u7684\u53e5\u6cd5\uff0c\u800c\"\u611f\u6642\u82b1\u6ffa\u6dda\" 15 \u5247\u662f\"\u611f\u6642\" + \"\u82b1\"", |
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| "text": "(Liu et al. 2015", |
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| "start": 127, |
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| "text": "(Harris 1954, Miller and", |
| "ref_id": null |
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| "start": 152, |
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| "text": "Walter 1991", |
| "ref_id": "BIBREF19" |
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| "text": "+ \"\u6ffa\u6dda\" \u7684 2+1+2 \u7684\u53e5\u6cd5\u3002\u4e03\u8a00\u7684\u4f5c\u54c1\u7684\u53e5\u6cd5\uff0c\u5e38\u898b\u7684\u5247\u662f 2+2+1+2 \u548c 2+2+2+1\uff0c\u4f8b\u5982", |
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| "text": "\"\u6649\u4ee3\u8863\u51a0\u6210\u53e4\u4e18\" 16 \u662f\"\u6649\u4ee3\" + \"\u8863\u51a0\" + \"\u6210\"+ \"\u53e4\u4e18\"\uff0c\u800c\"\u6771\u98a8\u4e0d\u8207\u5468\u90ce\u4fbf\" 17 \u662f\"\u6771\u98a8\" + \"\u4e0d\u8207\" + \"\u5468\u90ce\"+ \"\u4fbf\"\u3002 \u96d6\u7136\u6709\u4ee5\u4e0a\u7684\u898f\u5f8b\u53ef\u5faa\uff0c\u53ef\u662f\u8981\u7cbe\u78ba\u7d71\u8a08\u5510\u8a69\u88e1\u9762\u7684\u8a5e\u5f59\u7684\u4f7f\u7528\u72c0\u6cc1\uff0c\u76ee\u524d\u4ecd\u5f97\u4f9d \u8cf4\u4eba\u5de5\u7684\u78ba\u8a8d\uff0c\u56e0\u6b64\u76f8\u7576\u4e0d\u5bb9\u6613\u3002\u6211\u5011\u4ee5 PAT Tree (Chien 1997 ) \u7684\u6280\u8853\uff0c\u5148\u884c\u7d71\u8a08\u300a\u5168 \u5510\u8a69\u300b\u4e2d\u5e38\u898b\u7684\u4e8c\u5b57\u5b57\u4e32\uff0c\u518d\u4ee5\u300c\u81fa\u7063\u6578\u4f4d\u4eba\u6587\u5c0f\u5c0f\u8b9a\u300d 18 \u7db2\u7ad9\u4e0a\u7684\u8edf\u9ad4\u5de5\u5177\u7d71\u8a08\u5176 \u4e2d\u9ad8\u983b\u7387\u7684\u4e8c\u5b57\u8a5e\u7684\u51fa\u73fe\u983b\u7387\uff0c\u53ef\u4ee5\u5f97\u5230\u8868\u4e00\u7684\u6578\u64da\u3002\u8868\u4e00\u88e1\u9762\u96d6\u7136\u5927\u591a\u662f\u771f\u5be6\u7684\u4e8c\u5b57 \u8a5e\uff0c\u4f46\u662f\"\u4eba\u4e0d\"\u4e26\u4e0d\u662f\u771f\u6b63\u7684\u4e8c\u5b57\u8a5e\u3002\u5728\u300a\u5168\u5510\u8a69\u300b\u88e1\u9762\uff0c\u8ddf\u5728\"\u4eba\"\u4e4b\u5f8c\u7684\"\u4e0d\"\u5927\u90fd\u662f \u53e6\u4e00\u52d5\u8a5e\u7684\u4e00\u90e8\u4efd\uff0c\u4f8b\u5982\uff1a\"\u76e1\u65e5\u50b7\u5fc3\u4eba\u4e0d\u898b\" 19 \u548c\"\u96d6\u75c5\u4eba\u4e0d\u77e5\" 20", |
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| "text": "(Chien 1997", |
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| "text": "Distributional semantics (Harris 1954, Miller and Walter 1991 \u5728\u300c\u6587\u5b78 100\u300d\u7248\u672c\u7684\u300a\u5168\u5510\u8a69\u300b\u4e2d\uff0c\u674e\u767d\u548c\u675c\u752b\u5206\u5225\u6709 896 \u548c 1158 \u9996\u4f5c\u54c1\u3002\u8868 \u4e8c\u548c\u8868\u4e09\u5217\u793a\u9019\u5169\u4f4d\u8a69\u4eba\u4f7f\u7528\"\u6708\"\u7684\u65b9\u5f0f\u4e2d\u983b\u7387\u5927\u65bc\u5169\u6b21\u8005\u7684\u8cc7\u8a0a\u3002\u96d6\u7136\u6211\u5011\u53ef\u4ee5\u9010\u4e00 \u628a\u9019\u4e00\u4e9b\u4f5c\u54c1\u5217\u51fa\u4f86\uff0c\u7136\u5f8c\u7cbe\u8b80\uff0c\u4f46\u662f\u5149\u770b\u9019\u5169\u500b\u8868\u683c\u7684\u5167\u5bb9\uff0c\u5c31\u76f8\u7576\u5340\u5206\u4e86\u674e\u767d\u548c\u675c \u752b\u4f7f\u7528\"\u6708\"\u7684\u98a8\u683c\u3002\u674e\u767d\u7684\"\u6708\"\u660e\u986f\u5730\u6709\u8f03\u591a\u7684\u8b8a\u5316\uff0c\u8b1b\u5230\u591a\u7a2e\"\u6708\"\u7684\u6a23\u8c8c\u3002\u76f8\u5c0d\u5730\uff0c 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| "ref_entries": { |
| "TABREF0": { |
| "text": "\u82f1\u6587\u7684 antithesis \u4e26\u4e0d\u662f\u5c0d\u4ed7\u7684\u5b8c\u7f8e\u7ffb\u8b6f\uff0cantithesis \u9664\u4e86\u5e36\u6709\u76f8\u5c0d\u7684\u610f\u7fa9\u3001\u4e5f\u5e36\u6709\u76f8\u53cd\u8a5e\u7684\u610f\u5473\uff0c\u4e2d\u6587 \u7684\u5c0d\u4ed7\u7684\u5e73\u4ec4\u96d6\u7136\u8981\u76f8\u53cd\uff0c\u4f46\u662f\u5728\u8a5e\u610f\u4e0a\u4e26\u4e0d\u9700\u8981\u76f8\u53cd\u3002 The 2015 Conference on Computational Linguistics and Speech Processing ROCLING 2015, pp. 43-57 \uf0d3 The Association for Computational Linguistics and Chinese Language Processing Collocation, Textual Analysis, Corpus Analysis, China Biographical Database", |
| "num": null, |
| "type_str": "table", |
| "content": "<table><tr><td>1 \u7dd2\u8ad6</td></tr><tr><td>\u4ee5\u55ae\u4e00\u6587\u672c\u96c6\u6210\u4f86\u8aaa\uff0c \u300a\u5168\u5510\u8a69\u300b 3 \u662f\u7814\u7a76\u5510\u8a69\u7684\u6700\u96c6\u4e2d\u7684\u4f86\u6e90\u3002 \u300a\u5168\u5510\u8a69\u300b\u65bc\u6e05\u5eb7\u7199\u6642</td></tr><tr><td>\u671f\u5b8c\u6210\u7de8\u8f2f\uff0c\u64da\u300a\u6b3d\u5b9a\u56db\u5eab\u5168\u66f8\u300b\u4e2d\u3008\u5fa1\u88fd\u5168\u5510\u8a69\u5e8f\u3009\u6240\u8ff0\uff0c\u7576\u6642\u8490\u96c6\u4e86\u8d85\u904e\u4e8c\u5343\u4e8c\u767e</td></tr><tr><td>\u4f4d\u8a69\u4eba\u7684\u56db\u842c\u516b\u5343\u4e5d\u767e\u9918\u9996\u4f5c\u54c1\u3002\u5510\u8a69\u5728\u4e2d\u570b\u6587\u5b78\u53f2\u4e2d\u4f54\u6709\u6975\u91cd\u8981\u7684\u5730\u4f4d\uff0c\u5510\u8a69\u7684\u98a8\u683c</td></tr><tr><td>\u8207\u5167\u5bb9\u7684\u5f71\u97ff\u5ef6\u7e8c\u81f3\u4eca\uff0c\u800c\u300a\u5168\u5510\u8a69\u300b\u66f4\u662f\u6587\u5b78\u5bb6\u3001\u8a9e\u8a00\u5b78\u5bb6\u7814\u7a76\u7684\u91cd\u8981\u6587\u737b (Fang et</td></tr><tr><td>al. 2009, Lee and Wong 2012)\u3002\u6587\u5b78\u4f5c\u54c1\u7684\u5206\u6790\u662f\u8a08\u7b97\u8a9e\u8a00\u5b78(computational linguistics)\u6587</td></tr><tr><td>\u737b\u4e2d\u76f8\u5c0d\u5c11\u898b\u7684\u5617\u8a66\uff0c\u5728\u6578\u4f4d\u4eba\u6587(digital humanities)\u65bc\u5b78\u8853\u9818\u57df\u5feb\u901f\u5d1b\u8d77\u7684\u4eca\u5929 (\u9805\u6f54</td></tr><tr><td>\u53ca\u6d82\u8c50\u6069 2012)\uff0c\u6211\u5011\u5617\u8a66\u4ee5\u8a9e\u6587\u5206\u6790\u7684\u89d2\u5ea6\u4f86\u63a2\u7d22\u5510\u8a69\u7684\u5167\u5bb9\u3002</td></tr><tr><td>\u7f85\u9cf3\u73e0\u7b49\u5b78\u8005(\u7f85\u9cf3\u73e0\u7b49 1997, \u7f85\u9cf3\u73e0 2000)\u5f88\u65e9\u5c31\u63d0\u5021\u53e4\u7c4d\u7684\u6578\u4f4d\u5316\u5de5\u4f5c\uff0c\u4e26\u4e14</td></tr><tr><td>\u6301\u7e8c\u63a8\u52d5\u95dc\u65bc\u6587\u5b78\u4f5c\u54c1\u7684\u6578\u4f4d\u5316\u548c\u76f8\u95dc\u61c9\u7528\u3002\u80e1\u4fca\u5cf0\u53ca\u4fde\u58eb\u6c76 (2001) \u5c0d\u65bc\u300a\u5168\u5510\u8a69\u300b</td></tr><tr><td>\u8207\u4e00\u6279\u5b8b\u8a5e\u9032\u884c\u4e86\u57fa\u672c\u8a5e\u5f59\u5206\u6790\uff0c\u4ee5\u5efa\u7acb\u6df1\u5165\u5206\u6790\u7684\u57fa\u790e\uff0c\u4e26\u4e14\u4ee5\u6101\u3001\u82e6\u3001\u6068\u3001\u60b2\u3001\u54c0\u3001</td></tr><tr><td>\u6182\u9019\u4e00\u4e9b\u55ae\u5b57\u8a5e\u7684\u6642\u5e8f\u5206\u6790\u4f5c\u70ba\u7bc4\u4f8b\u3002\u5118\u7ba1\u5982\u6b64\uff0c\u6211\u5011\u9084\u6c92\u6709\u80fd\u767c\u73fe\u8a31\u591a\u4ee5\u6578\u4f4d\u6280\u8853\u8655</td></tr><tr><td>\u7406\u5510\u8a69\u4f5c\u54c1\u7684\u4e2d\u6587\u8457\u8ff0\u3002\u8523\u7d39\u611a (2003) \u5229\u7528\u8cc7\u8a0a\u6aa2\u7d22\u8edf\u9ad4\u8207\u300a\u5168\u5510\u8a69\u300b\u76f8\u95dc\u8cc7\u6599\u5eab\u7684</td></tr><tr><td>\u5354\u52a9\uff0c\u6bd4\u8f03\u4e86\u674e\u767d\u8207\u675c\u752b\u4f5c\u54c1\u4e2d\u7684 \"\u98a8\" \u548c \"\u6708\"\u3002</td></tr><tr><td>\u9ec3\u5c45\u4ec1\u7b49\u5b78\u8005\u4ee5\u300a\u5510\u8a69\u4e09\u767e\u9996\u300b(Huang 2004) \u52a0\u4e0a\u7f85\u9cf3\u73e0\u6240\u6574\u7406\u7684\u8607\u8efe\u4f5c\u54c1(Chang</td></tr><tr><td>et al. 2005)\u70ba\u57fa\u790e\uff0c\u7814\u7a76\u8607\u8efe\u4f5c\u54c1\u4e4b\u4e2d\u7684\u672c\u9ad4\u8ad6(ontology)\u3002\u7f85\u9cf3\u73e0\u7e7c\u7e8c\u64f4\u5927\u5efa\u69cb\u8a69\u8a5e\u4e4b</td></tr><tr><td>\u4e2d\u7684\u540d\u8a5e\u5206\u985e\u9ad4\u7cfb(\u7f85\u9cf3\u73e0 2008)\uff0c\u4e26\u4e14\u4ee5\u6240\u5efa\u69cb\u7684\u5206\u985e\u9ad4\u7cfb\u4f5c\u70ba\u8cde\u6790\u5510\u8a69\u4f5c\u54c1\u7684\u57fa\u790e</td></tr><tr><td>(Fang et al. 2009)\u3002</td></tr><tr><td>\u674e\u601d\u6e90\u7b49\u5b78\u8005\u5f9e\u8a08\u7b97\u8a9e\u8a00\u5b78\u7684\u89d2\u5ea6\u5207\u5165\u5510\u8a69\u7684\u5206\u6790\uff0c\u91dd\u5c0d\u5510\u8a69\u4e2d\u7684\u8a5e\u985e\u6a19\u8a18(Lee</td></tr><tr><td>2012)\u8207\u8a9e\u6cd5\u76f8\u4f9d(dependency trees) (Lee and Kong 2012)\u5747\u6709\u6240\u8ad6\u8ff0\u3002\u4ed6\u5011\u4e5f\u5f9e\u5510\u8a69\u7684\u4e00</td></tr><tr><td>\u4e9b\u7279\u5b9a\u8a5e\u5f59\u985e\u5225\uff0c\u4f8b\u5982\uff0c\u540d\u8a5e\u5206\u985e\u3001\u5b63\u7bc0\u3001\u65b9\u5411\u3001\u984f\u8272\uff0c\u70ba\u57fa\u790e\u4f86\u5206\u6790\u300a\u5168\u5510\u8a69\u300b\u4e2d\u7684</td></tr><tr><td>\u4f5c\u54c1 (Lee and Wong 2012)\uff1b\u4e26\u4e14\u6574\u5408\u5510\u8a69\u7684\u5206\u6790\u8207\u8a08\u7b97\u8a9e\u8a00\u5b78\u7684\u6559\u5b78(Lee et al. 2013)\u3002</td></tr><tr><td>\u9664\u4e86\u8a9e\u8a00\u5b78\u6559\u5b78\u4e4b\u5916\uff0c\u5510\u8a69\u7684\u5167\u5bb9\u5206\u6790\u4e5f\u6709\u4e00\u4e9b\u73fe\u4ee3\u5316\u7684\u61c9\u7528\u3002\u5468\u660e\u7b49\u5b78\u8005\u5229\u7528 \u300a\u5168</td></tr><tr><td>\u5510\u8a69\u300b\u4f5c\u70ba\u57fa\u790e\u8a9e\u6599\uff0c\u642d\u914d\u7d71\u8a08\u5f0f\u7ffb\u8b6f\u7684\u6280\u8853 (Jiang and Zhou 2008, Zhou et al. 2009)\uff0c</td></tr><tr><td>\u5efa\u7acb\u4e86\u4e00\u500b\u81ea\u52d5\u4f5c\u5c0d\u806f\u7684\u300c\u96fb\u8166\u5c0d\u806f\u300d\u7cfb\u7d71 4 \u3002\u5728\u7814\u7a76\u548c\u6bd4\u8f03\u53f0\u7063\u548c\u4e2d\u570b\u7684\u50b3\u7d71\u548c\u73fe\u4ee3</td></tr><tr><td>\u7684\u4e2d\u6587\u8a69\u8a5e\u4f5c\u54c1\u6642\uff0cVoigt \u548c Jarafsky (2013) \u4e5f\u4ee5\u5510\u8a69\u4f5c\u70ba\u7814\u7a76\u6750\u6599\u3002Chen (2010) \u5247\u5f9e</td></tr><tr><td>\u5510\u592a\u5b97\u7684\u5510\u8a69\u7814\u7a76\u5510\u671d\u7684\u653f\u6cbb\u554f\u984c\u3002</td></tr><tr><td>\u5728\u9019\u4e00\u7bc7\u8ad6\u6587\u4e2d\uff0c\u6211\u5011\u5f9e\u8a31\u591a\u65b9\u9762\u63a2\u7d22\u5510\u8a69\u7684\u5206\u6790\u5de5\u4f5c\u3002\u6211\u5011\u5617\u8a66\u4ee5\u6587\u5b78\u9818\u57df\u6240\u719f</td></tr><tr><td>\u77e5\u7684\u5510\u8a69\u4e00\u822c\u69cb\u8a5e\u539f\u5247\u4f86\u64f7\u53d6\u8a5e\u5f59\uff0c\u56e0\u6b64\u6c92\u6709\u5f15\u5165\u6b63\u7d71\u7684\u4e2d\u6587\u65b7\u8a5e\u3001\u8a5e\u985e\u6a19\u8a18\u548c\u8a9e\u6cd5\u5206</td></tr><tr><td>\u6790\u7684\u6280\u8853\u3002\u4ee5\u6b64\u539f\u5247\u5206\u6790\u300a\u5168\u5510\u8a69\u300b\u6240\u5f97\u8a5e\u5f59\u70ba\u57fa\u790e\uff0c\u518d\u9032\u884c\u4ee5 distributional semantics</td></tr></table>", |
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| "TABREF3": { |
| "text": "\u7684\u8a08\u7b97\u8ddf\u6bd4\u7387 A \u985e\u4f3c\uff0c\u4f46\u662f\u4e26\u4e0d\u662f\u628a\u6240\u6709\u8a69\u4eba\u540d\u5b57\u4e4b\u4e0b\u7684\u6240\u6709\u6578\u5b57\u52a0\u7e3d\u3002 \u6bd4\u7387 B \u53ea\u5305\u542b\"\u767d\u9aee\"\u3001 \"\u767d\u982d\"\u3001 \"\u767d\u9996\"\u3001 \"\u767d\u9b1a\"\u3001 \"\u767d\u9aa8\"\u3001 \"\u767d\u9aed\"\u9019\u4e00\u7d44\u53ef\u4ee5\u5206\u6790 \u6587\u4eba\u5fc3\u7406\u60c5\u7dd2\u7684\u6838\u5fc3\u8a5e\u5f59\u3002\u8868\u516d\u628a\u9019\u516d\u500b\u8a5e\u5f59\u7684\u76f8\u95dc\u90fd\u52a0\u4e0a\u6de1\u6de1\u7684\u5e95\u8272\u4ee5\u4fbf\u67e5\u8a62\u3002\u4ee5\u674e \u5546\u96b1\u70ba\u4f8b\uff0c1.8%\u662f\u4f86\u81ea\u65bc 0.54%\u30010.72%\u30010.18%\u30010.18%\u30010.18%\u30010.00%\u7684\u7e3d\u548c\u3002", |
| "num": null, |
| "type_str": "table", |
| "content": "<table><tr><td colspan=\"2\">\u7576\u6211\u5011\u8aaa\u4e00\u4f4d\u8a69\u4eba\u5c6c\u65bc\u67d0\u4e00\u8a69\u6d3e\uff0c\u61c9\u8a72\u662f\u8aaa\u8a69\u4eba\u7684\u4f5c\u54c1\u5448\u73fe\u67d0\u4e00\u985e\u7684\u610f\u5883\u7684\u6bd4\u7387\u8f03</td></tr><tr><td colspan=\"2\">\u9ad8\uff0c\u800c\u4e0d\u6703\u8aaa\u8a69\u4eba\u7684\u6bcf\u4e00\u9996\u8a69\u7e3d\u662f\u6709\u67d0\u4e00\u985e\u7684\u610f\u5883\u3002\u5982\u679c\u6211\u5011\u8a8d\u5b9a\u4ee5\u4e0a\u9019\u4e00\u7d44\u516d\u500b\u767d\u8272</td></tr><tr><td colspan=\"2\">\u8a5e\u5f59\u662f\u504f\u5411\u65bc\u8ca0\u9762\u60c5\u7dd2\u7684\u8a5e\u5f59\u7684\u8a71\uff0c\u89c0\u5bdf\u500b\u5225\u8a69\u4eba\u6bd4\u7387 B \u7684\u5927\u5c0f\uff0c\u6211\u5011\u53ef\u4ee5\u767c\u73fe\u5b5f\u6d69\u7136\u3001</td></tr><tr><td colspan=\"2\">\u674e\u5546\u96b1\u548c\u6eab\u5ead\u7b60\u4e09\u4eba\u7684\u6bd4\u7387 B \u90fd\u660e\u986f\u5730\u4f4e\u3002\u9019\u4e00\u4e9b\u6578\u64da\u53ef\u4ee5\u7528\u4f86\u652f\u6301\u5b5f\u6d69\u7136\u7d93\u5e38\u88ab\u6b78\u985e</td></tr><tr><td colspan=\"2\">\u70ba\u7530\u5712\u8a69\u6d3e\uff1b\u800c\u674e\u5546\u96b1\u548c\u6eab\u5ead\u7b60\u7684\u8a55\u8ad6\u5247\u6709\"\u591a\u7dba\u9e97\u6fc3\u8277\u4e4b\u4f5c\" (\u674e\u744b\u8cea 2009) 23 \u3002\u675c\u752b\u548c</td></tr><tr><td colspan=\"2\">\u767d\u5c45\u6613\u7684\u6bd4\u7387 B \u5247\u660e\u986f\u9ad8\u51fa\u5176\u4ed6\u4eba\uff0c\u9019\u8ddf\u5169\u4eba\u5e38\u88ab\u5206\u70ba\u793e\u6703\u8a69\u6d3e\u61c9\u8a72\u4e5f\u6709\u76f8\u7576\u7684\u95dc\u806f\u3002 taxonomy \u95dc\u4fc2\uff0c\u6211\u5011\u9084\u6709\u53ef\u80fd\u53ef\u4ee5\u7814\u7a76\u4e0d\u540c\u4f5c\u8005\u7684\u4f5c\u54c1\u7684\u5171\u73fe\u548c\u5c0d\u4ed7\u8a5e\u7d44\u7684\u4f7f\u7528\u662f\u5426</td></tr><tr><td>4 \u5171\u73fe\u8207\u5c0d\u4ed7 \u651c\u5e36\u500b\u4eba\u98a8\u683c\u7684\u8cc7\u8a0a\u3002</td><td/></tr><tr><td colspan=\"2\">\u628a\u8a08\u7b97\u5171\u73fe\u8a5e\u5f59\u7684\u7a0b\u5f0f\u7a0d\u52a0\u6539\u9032\uff0c\u591a\u8003\u616e\u5f8b\u8a69\u4e2d\u5c0d\u4ed7\u7684\u898f\u5247\uff0c\u5c31\u53ef\u4ee5\u7528\u4f86\u64f7\u53d6\u5510\u8a69</td></tr><tr><td colspan=\"2\">\u5171\u73fe(collocation)\u5206\u6790\u662f\u8a08\u7b97\u8a9e\u8a00\u5b78\u9818\u57df\u7684\u57fa\u672c\u5206\u6790\uff0c\u8a08\u7b97\u5728\u7279\u5b9a\u6587\u5b57\u7bc4\u570d\u4e4b\u5167\uff0c\u8a5e\u5f59\u4e00 \u4e2d\u7684\u5c0d\u4ed7\u8a5e\u7d44\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u95dc\u65bc\u767d\u8272\u8a5e\u5f59\u7684\u5c0d\u4ed7\u4f8b\u5b50\u3002\u62bd\u53d6\u5b8c\u6574\u7684\u8a69\u6b4c\u4f5c\u54c1\uff0c\u53ef\u4ee5\u8b93\u4e00</td></tr><tr><td colspan=\"2\">\u9019\u6a23\u7684\u767d\u8272\u8a5e\u5f59\u3002\u6211\u5011\u53ef\u4ee5\u5229\u7528\u9019\u4e00\u4e9b\u767d\u8272\u8a5e\u5f59\uff0c\u5f9e\u4e0d\u540c\u89d2\u5ea6\u4f86\u6bd4\u8f03\u8868\u516d\u88e1\u9762 13 \u4f4d\u8a69 \u4eba\u7684\u7279\u8272\u3002 \u8d77\u51fa\u73fe\u7684\u72c0\u6cc1\u3002\u9664\u4e86\u4e00\u8d77\u51fa\u73fe\u4e4b\u5916\uff0c\u5c0d\u4ed7\u7684\u8a5e\u5f59\u6709\u7a7a\u9593\u4e0a\u7684\u984d\u5916\u9650\u5236\uff1b\u5c0d\u4ed7\u7684\u8a5e\u5f59\u5fc5\u9808 \u822c\u4eba\u6b23\u8cde\u8a69\u6b4c\uff0c\u4e5f\u6709\u52a9\u65bc\u5c08\u696d\u7814\u7a76\u4eba\u54e1\u627e\u5230\u6240\u8981\u7814\u7a76\u7684\u7279\u5b9a\u8a9e\u6599\u3002 \u4f4d\u65bc\u6240\u5c0d\u4ed7\u7684\u5169\u53e5\u4e2d\u76f8\u540c\u7684\u76f8\u5c0d\u4f4d\u7f6e\u3002\"\u767d\u65e5\u7576\u7a7a\u5929\u6c23\u6696\uff0c\u597d\u98a8\u98c4\u6a39\u67f3\u9670\u6dbc\" 24 \u9019\u4e00\u53e5\u5c0d \u767d\u5c45\u6613\u3008\u5317\u7a97\u9591\u5750\u3009 \u4e2d\uff0c\"\u767d\u65e5\"\u548c\"\u597d\u98a8\"\u662f\u4e00\u7d44\u5c0d\u4ed7\u7684\u8a5e\u5f59\u3002\u5728 15 \u500b\u5b57\u7684\u7bc4\u570d\u4e4b\u5167\uff0c\"\u767d\u65e5\"\u548c\"\u6a39\u67f3\"\u96d6\u7136\u5171 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\u300a\u5e73\u6c34\u97fb\u300b\u662f\u7814\u7a76\u53e4 \u854a\u73e0\u5bae\u6bbf\u7d93\u5fae\u96e8\uff0c\u8349\u6a39\u7121\u5875\u8000\u773c\u5149\u3002\u767d\u65e5\u7576\u7a7a\u5929\u6c23\u6696\uff0c\u597d\u98a8\u98c4\u6a39\u67f3\u9670\u6dbc\u3002 N \u4f5c\u54c1\u4e2d\u4f7f\u7528 T \u7684\u6bd4\u4f8b\u3002\u4ee5\u674e\u767d\u70ba\u4f8b\uff0c\u674e\u767d\u6709 896 \u4efd\u4f5c\u54c1\uff0c\u5176\u4e2d\u51fa\u73fe\u904e 62 \u6b21\u7684\"\u767d\u65e5\"\uff0c \u4ee3\u6f22\u5b57\u767c\u97f3\u7684\u91cd\u8981\u53c3\u8003\u5de5\u5177\u3002 \u8702\u6190\u5bbf\u9732\u6522\u82b3\u4e45\uff0c\u71d5\u5f97\u65b0\u6ce5\u62c2\u6236\u5fd9\u3002\u6642\u7bc0\u50ac\u5e74\u6625\u4e0d\u4f4f\uff0c\u6b66\u9675\u82b1\u8b1d\u61b6\u8af8\u90ce\u3002 \u56e0\u6b64\u674e\u767d\u7684\u4f5c\u54c1\u4e2d\u6709 6.92%\u7684\u6a5f\u6703\u770b\u5230\"\u767d\u65e5\"\u3002\u8868\u516d\u7684\u5927\u90e8\u4efd\u6578\u64da\uff0c\u90fd\u662f\u8a69\u4eba(N)\u4f5c\u54c1\u4e2d \u770b\u5230\u67d0\u4e00\u8a5e\u5f59(T)\u7684\u6bd4\u7387\u3002 \u8a5e\u5f59\u7684\u5171\u73fe\u548c\u5c0d\u4ed7\u95dc\u4fc2\u63d0\u4f9b\u4e86\u6587\u5b57\u63a2\u52d8(text mining)\u7684\u6a5f\u6703\uff0c\u6211\u5011\u53ef\u4ee5\u5f9e\u65e2\u6709\u7684\u5510 \u5728\u7279\u5225\u91dd\u5c0d\u4e2d\u5510\u8a69\u4eba\u4f5c\u54c1\u7684\u7814\u7a76\u4e2d\uff0c\u6211\u5011(\u912d\u6587\u60e0\u7b49 2015)\u66f4\u9032\u4e00\u6b65\u5206\u6790\u54ea\u4e00\u4e9b\u5c0d</td></tr><tr><td>\u91dd\u5c0d\u55ae\u4e00\u8a69\u4eba\u4e4b\u4e0b\uff0c\u88ab\u6a19\u8a18\u70ba\u7d05\u8272 \u8a69\u4e4b\u4e2d\u62bd\u53d6\u6709\u52a9\u65bc\u8a69\u6b4c\u5275\u4f5c\u7684\u8cc7\u8a0a\u3002</td><td>21 \u7684\u6578\u5b57\u8005\uff0c\u662f\u8a72\u8a69\u4eba\u6700\u5e38\u7528\u7684\u767d\u8272\u8a5e\u5f59\u7684\u6bd4\u7387\u3002</td></tr><tr><td colspan=\"2\">\u85cd\u8272\u6a19\u793a\u8005\u662f\u7b2c\u4e8c\u3001\u7b2c\u4e09\u6216\u8005\u7b2c\u56db\u5e38\u7528\u7684\u767d\u8272\u8a5e\u5f59\uff0c\u6709\u4e00\u4e9b\u8a5e\u5f59\u56e0\u70ba\u6709\u540c\u6a23\u7684\u6bd4\u7387\uff0c\u56e0 4.1 \u5171\u73fe\u8207\u5c0d\u4ed7\u8a5e\u7d44 \u6b64\u6703\u6709\u591a\u65bc\u4e00\u500b\u7d05\u8272\u6578\u5b57\u6216\u8005\u591a\u65bc\u4e09\u500b\u85cd\u8272\u6578\u5b57\u7684\u60c5\u6cc1\u3002 \u91dd\u5c0d\u6211\u5011\u6709\u8208\u8da3\u7814\u7a76\u7684\u8a5e\u5f59\uff0c\u4f8b\u5982\"\u767d\u96f2\"\uff1b\u6211\u5011\u53ef\u4ee5\u5148\u64f7\u53d6\"\u767d\u96f2\"\u7684\u8a9e\u5883\uff0c\u4f8b\u5982\u524d\u5f8c n</td></tr><tr><td colspan=\"2\">\u9019\u4e00\u4e9b\u6578\u64da\u53ef\u4ee5\u7528\u4f86\u627e\u5c0b\u8a69\u4eba\u7279\u6b8a\u7684\u53d6\u5411\u3002\u4f8b\u5982\uff0c\u8cc8\u5cf6\u7684\u4f5c\u54c1\u4e4b\u4e2d\u6709\u5e7e\u4e4e 1%\u6703\u7528 \u500b\u5b57\uff0c\u6216\u8005\u662f\u4e00\u9996\u4f5c\u54c1\u3002\u7136\u5f8c\u5229\u7528 PAT Tree \u6216\u8005\u9069\u7576\u6280\u8853\uff0c\u627e\u51fa\u9019\u4e00\u4e9b\u8a9e\u5883\u4e2d\u7684\u6709\u610f\u7fa9 \u5230\"\u767d\u8863\"\uff0c\u9019\u662f 13 \u4f4d\u8a69\u4eba\u4e4b\u4e2d\u7684\u7279\u4f8b\u3002\u675c\u752b\u4f7f\u7528\"\u767d\u5e1d\" 22 \u7684\u6bd4\u7387\u975e\u5e38\u9ad8\uff0c\u751a\u81f3\u8d85\u904e\u674e\u767d\uff0c \u8a5e\u5f59\uff0c\u5229\u7528\u7a0b\u5f0f\u8a08\u7b97\u300a\u5168\u5510\u8a69\u300b\u4e2d\u8207\"\u767d\u96f2\"\u524d\u5f8c n \u500b\u5b57\u7bc4\u570d\u4e4b\u5167\u51fa\u73fe\u7684\u8a5e\u5f59\u7684\u983b\u7387\u3002</td></tr><tr><td colspan=\"2\">\u80cc\u5f8c\u7684\u7de3\u7531\u7279\u5225\u503c\u5f97\u63a2\u7d22\u3002\u738b\u7dad\u4e00\u822c\u88ab\u6b78\u985e\u70ba\u7530\u5712\u8a69\u4eba\uff0c\u5176\u4f5c\u54c1\u6709 7.41%\u7528\u5230\"\u767d\u96f2\"\uff0c \u8868\u4e03\u5217\u793a\u4f9d\u7167\u9019\u6a23\u7a0b\u5e8f\uff0c\u5c07 n \u8a2d\u5b9a\u70ba 30 26 \uff0c\u6240\u627e\u5230\u7684\u4e00\u4e9b\u8ddf\"\u767d\u96f2\"\u3001\"\u767d\u65e5\"\u548c\"\u767d\u9aee\" \u4e5f\u7b97\u662f\u540d\u7b26\u5176\u5be6\u7684\u4e00\u9805\u8868\u5fb5\u3002 \u5171\u73fe\u7684\u8a5e\u5f59\u548c\u983b\u7387\u3002\u9019\u985e\u7684\u8cc7\u8a0a\u53ef\u6709\u4e00\u4e9b\u53ef\u80fd\u7684\u61c9\u7528\u3002\u4f8b\u5982\u53ef\u4ee5\u7528\u65bc\u8a69\u6b4c\u7684\u8cde\u6790\u6559\u5b78\uff0c</td></tr><tr><td colspan=\"2\">\u5728\u8868\u516d\u7684\u4e0a\u65b9\u6709\u5169\u9805\u6bd4\u7387\uff0c\u6bd4\u7387 A \u662f\u8a69\u4eba\u4f5c\u54c1\u4e2d\u6709\u767d\u8272\u8a5e\u5f59\u7684\u6bd4\u7387\u7684\u7e3d\u548c\u3002\u9019\u4e00\u9805 \u7e3d\u548c\u662f\u76f4\u63a5\u628a\u8a69\u4eba\u59d3\u540d\u4e4b\u4e0b\u7684\u6240\u6709\u6578\u5b57\u5168\u90e8\u52a0\u7e3d\uff0c\u4e26\u6c92\u6709\u8003\u616e\u5230\u67d0\u4e00\u4e9b\u4f5c\u54c1\u53ef\u80fd\u540c\u6642\u6709 \u4e5f\u53ef\u4ee5\u7528\u65bc\u8a69\u6b4c\u5275\u4f5c\u7684\u8ab2\u7a0b\u3002\u5982\u679c\u53ef\u4ee5\u642d\u914d\u4e00\u4e9b\u985e\u4f3c E-HowNet 27 \u6240\u63d0\u4f9b\u7684\u8a5e\u5f59\u7684</td></tr><tr><td colspan=\"2\">\u591a\u500b\u767d\u8272\u8a5e\u5f59\u6642\u7684\u4ea4\u96c6\u60c5\u6cc1\uff0c\u56e0\u6b64\u7e3d\u548c\u6bd4\u7387\u6709\u53ef\u80fd\u9ad8\u65bc\u5be6\u969b\u7684\u6bd4\u7387\u3002\u4e0d\u904e\u8a69\u4eba\u4f5c\u54c1\u4e4b\u4e2d\uff0c</td></tr><tr><td colspan=\"2\">\u901a\u5e38\u8b1b\u7a76\u907f\u514d\u91cd\u8907\u76f8\u540c\u7684\u5b57\uff0c\u56e0\u6b64\u6211\u5011\u9810\u671f\u5be6\u969b\u7684\u8aa4\u5dee\u4e0d\u5927\u3002</td></tr><tr><td colspan=\"2\">\u56e0\u6b64\uff0c\u6bd4\u7387 A \u662f\u500b\u5225\u8a69\u4eba\u4f5c\u54c1\u4e2d\u4f7f\u7528\u5230\u767d\u8272\u8a5e\u5f59\u7684\u7e3d\u548c\u6bd4\u7387\u3002\u9019\u5176\u4e2d\u6700\u503c\u5f97\u6ce8\u610f\u7684</td></tr><tr><td colspan=\"2\">\u662f\u674e\u767d\uff0c\u674e\u767d\u7684\u4f5c\u54c1\u4e4b\u4e2d\u8d85\u904e 46%\u4f7f\u7528\u5230\"\u767d\"\u5b57\u3002</td></tr></table>", |
| "html": null |
| }, |
| "TABREF6": { |
| "text": "919 \u767d 358 \u767d 505 \u7d05 335 \u9752 197 \u7d05 199 \u767d 142 \u9752 54 \u9752 36 \u9ec3 505 \u7da0 202 \u7da0 335 \u9752 152 \u9752 202 \u9ec3 139 \u9752 188 \u7d2b 70 \u9ec3 39 \u9ec3 27 \u7d05 358 \u7d2b 197 \u78a7 199 \u7d2b 139 \u9ec3 83 \u7d05 107 \u6e05 100 \u78a7 50 \u767d 33 \u7d05 24 \u6e05 274 \u78a7 188 \u7fe0 139 \u7da0 83 \u767d 70 \u767d 72 \u9ec3 74 \u9752 41 \u7d2b 19 \u767d 15 \u4e39 142 \u9ec3 152 \u9752 111 \u78a7 74 \u6e05 70 \u4e39 70 \u767d 57 \u7fe0 35 \u84bc 15 \u660e 13 \u6ec4 99 \u7d05 111 \u7d2b 107 \u7d05 44 \u4e39 31 \u6e05 56 \u4e39 50 \u7da0 31 \u7d05 13 \u6e05 10 \u6731 97 \u7fe0 54 \u9ec3 44 \u8d64 39 \u6731 27 \u6731 41 \u91d1 42 \u7389 29 \u6ec4 12 \u4e39 8 \u660e 96 \u8d64 54 \u6e05 36 \u7fe0 33 \u7d2b 26 \u91d1 39 \u7d2b 35 \u7d20 25 \u4e39 10 \u5bd2 8 \u7da0 70 \u660e 42 \u7d20 31 \u6e05 32 \u78a7 26 \u78a7 35 \u6731 31 \u91d1 21 \u6e05 8 \u7d2b 7 \u7384 66 \u4e39 41 \u91d1 21 \u9ed1 27 \u91d1 23 \u7384 32 \u5bd2 22 \u6e05 17 \u6731 7 \u8d64 7", |
| "num": null, |
| "type_str": "table", |
| "content": "<table><tr><td colspan=\"3\">\u54c1\u4e4b\u4e2d\u63d0\u5230\u81ea\u5df1\uff1a \u300c\u96d6\u70ba\u674e\u767d\u5a66\uff0c\u4f55\u7570\u592a\u5e38\u59bb\u300d \u3001 \u300c\u674e\u767d\u4e58\u821f\u5c07\u6b32\u884c\uff0c\u5ffd\u805e\u5cb8\u4e0a\u8e0f\u6b4c\u8072\u300d</td></tr><tr><td colspan=\"3\">\u548c\u300c\u8212\u5dde\u6753\uff0c\u529b\u58eb\u943a\uff0c\u674e\u767d\u8207\u723e\u540c\u6b7b\u751f\u300d</td><td>31 \u3002</td></tr><tr><td colspan=\"3\">\u8a69\u4eba\u7684\u4f5c\u54c1\u6a19\u984c\u548c\u4f5c\u54c1\u5167\u5bb9\u53ef\u80fd\u63d0\u5230\u4ed6\u4eba\u7684\u59d3\u540d\u3002 \u300a\u5168\u5510\u8a69\u300b\u4e2d\uff0c\u81f3\u5c11\u516b\u4f4d\u8a69\u4eba\u7684</td></tr><tr><td colspan=\"3\">15 \u9996\u8a69\u6b4c\uff0c\u63d0\u5230\u674e\u767d\u3002\u5176\u4e2d\u675c\u752b\u5360\u4e86\u4e03\u9996 32 \u3002\u7f85\u96b1\u7684\u4f5c\u54c1\u4e4b\u4e2d\u4e5f\u63d0\u5230\u4ed6\u5c0d\u65bc\u675c\u752b\u7684\u8a55</td></tr><tr><td colspan=\"3\">\u8ad6\u300c\u6d1b\u967d\u8cc8\u8abc\u81ea\u7121\u547d\uff0c\u5c11\u9675\u675c\u752b\u517c\u6709\u6587\u300d\u548c\u300c\u675c\u752b\u8a69\u4e2d\u97cb\u66f2\u82b1\uff0c\u81f3\u4eca\u7121\u8cf4\u5c1a\u8c6a\u5bb6\u300d</td><td>33 \u3002</td></tr><tr><td colspan=\"3\">\u8a69\u4eba\u7684\u95dc\u4fc2\u53ef\u4ee5\u662f\u591a\u9762\u5411\u7684\uff0c\u8a69\u4eba\u63d0\u5230\u4ed6\u4eba\u7684\u6642\u5019\uff0c\u4e5f\u4e0d\u898b\u5f97\u662f\u76f4\u63a5\u5b57\u9762\u63d0\u5230\uff1b\u8a69</td></tr><tr><td colspan=\"3\">\u6b4c\u4e4b\u4e2d\u63d0\u5230\u7684\u59d3\u540d\uff0c\u4e5f\u4e0d\u898b\u5f97\u5c6c\u65bc\u540c\u4e00\u6642\u4ee3\u7684\u4eba\u3002\u6234\u53d4\u502b\u5728\u3008\u904e\u8cc8\u8abc\u5b85\u3009\u6709\u300c\u4e0a\u66f8\u6182\u6f22</td></tr><tr><td colspan=\"2\">\u5ba4\uff0c\u4f5c\u8ce6\u540a\u9748\u5747\u300d</td><td>34 \uff0c\u900f\u904e\"\u9748\u5747\"\u8f3e\u8f49\u63d0\u5230\u4e86\u6230\u570b\u6642\u4ee3\u7684\u5c48\u539f\uff0c\u800c\u8cc8\u8abc\u5176\u5be6\u662f\u897f\u6f22\u6642\u4ee3</td></tr><tr><td colspan=\"3\">\u7684\u4eba\uff1b\u8cc8\u8abc\u56e0\u70ba\u906d\u5230\u8cb6\u5b98\u5230\u9577\u6c99\uff0c\u800c\u8457\u6709\u3008\u5f14\u5c48\u539f\u8d4b\u3009 \u3002\u5289\u9577\u537f\u7684\u3008\u9577\u6c99\u904e\u8cc8\u8abc\u5b85\u3009\u662f</td></tr><tr><td colspan=\"3\">\u4ee5\u4eba\u7269\u59d3\u540d\u548c\u5730\u9ede\u540d\u7a31\u71df\u9020\u610f\u8c61\u7684\u53e6\u4e00\u500b\u4ee3\u8868\u4f5c\u3002</td></tr><tr><td colspan=\"3\">\u5982\u679c\u662f\u8981\u5206\u6790\u8a69\u4eba\u4f5c\u54c1\u63d0\u5230\u4ed6\u4eba\u9019\u4e00\u985e\u7684\u95dc\u4fc2\uff0c\u53ea\u8981\u904b\u7528\u540d\u7a31\u64f7\u53d6\u5c31\u53ef\u4ee5\u5b8c\u6210\u57fa\u672c</td></tr><tr><td colspan=\"3\">\u7684\u5de5\u4f5c\u3002\u4f46\u662f\u8981\u9032\u884c\u5b8c\u6574\u3001\u6df1\u5ea6\u7684\u793e\u6703\u7db2\u8def\u5206\u6790\uff0c\u5fc5\u9808\u80fd\u5920\u59a5\u5584\u8655\u7406\u4e0a\u8ff0\u554f\u984c\u3002\u4eba\u7269\u7684</td></tr><tr><td colspan=\"3\">\u5b57\u865f\u5225\u540d\u90e8\u5206\uff0c\u9700\u8981\u4f9d\u8cf4\u6b77\u53f2\u4eba\u7269\u7684\u50b3\u8a18\u8cc7\u6599\u5eab\uff0c\u4f8b\u5982\u54c8\u4f5b\u5927\u5b78\u7684\u300c\u4e2d\u570b\u6b77\u4ee3\u4eba\u7269\u50b3\u8a18</td></tr><tr><td>\u8cc7\u6599\u5eab\u300d</td><td colspan=\"2\">35 \u3002\u800c\u8981\u77ad\u89e3\u900f\u904e\u76f8\u4f3c\u80cc\u666f\u6216\u8005\u985e\u4f3c\u4e8b\u4ef6\u7684\u4eba\u7269\u5730\u9ede\u6240\u71df\u9020\u7684\u610f\u8c61\uff0c\u5247\u9700\u8981\u5c08</td></tr><tr><td colspan=\"3\">\u5bb6\u5c08\u696d\u77e5\u8b58\u6216\u8005\u975e\u5e38\u9ad8\u968e\u7684\u77e5\u8b58\u5eab\u4f86\u652f\u63f4\u3002\u5982\u679c\u540c\u4e00\u6642\u4ee3\u6709\u76f8\u540c\u540d\u865f\u7684\u8a69\u4eba\uff0c\u5247\u66f4\u8981\u6709</td></tr><tr><td colspan=\"3\">\u59d3\u540d\u5206\u8fa8(person-name disambiguation)\u7684\u5de5\u4f5c\u8981\u4f5c\u3002</td></tr><tr><td colspan=\"3\">\u9664\u4e86\u4ee5\u59d3\u540d\u5b57\u865f\u4f5c\u70ba\u767c\u6398\u793e\u6703\u7db2\u8def\u7684\u8d77\u9ede\u4e4b\u5916\uff0c\u4e5f\u53ef\u4ee5\u5229\u7528\u9069\u7576\u7684\u52d5\u8a5e\u4f86\u627e\u8a69\u4eba\u7684</td></tr><tr><td colspan=\"3\">\u4eba\u969b\u95dc\u4fc2\u7684\u8cc7\u8a0a\u3002\u4f8b\u5982\uff0c\u5728\u8a69\u6b4c\u7684\u6a19\u984c\u4e2d\u627e\u5c0b\"\u8cdc\"\uff0c\u5c31\u53ef\u4ee5\u627e\u5230\u8a31\u591a\u5510\u671d\u7687\u5e1d\u8cdc\u8a69\u7684\u5c0d</td></tr><tr><td colspan=\"3\">\u8c61\uff0c\u5176\u4ed6\u7684\u8d08\u8207\u7684\u52d5\u8a5e\u4e5f\u53ef\u4ee5\u662f\u5f88\u597d\u7684\u7dda\u7d22\uff0c\u4f8b\u5982\"\u9001\"\u3002\u4ee5\u6b64\u985e\u8996\u89d2\u51fa\u767c\u6211\u5011\u53ef\u4ee5\u627e\u5230</td></tr><tr><td colspan=\"3\">\u674e\u4e16\u6c11\u7684\u3008\u8ce6\u79cb\u65e5\u61f8\u6e05\u5149\u8cdc\u623f\u7384\u9f61\u3009 \u3001 \u3008\u8cdc\u856d\u7440\u3009 \u3001 \u3008\u8cdc\u623f\u7384\u9f61\u3009 \u3001 \u3008\u8cdc\u9b4f\u5fb5\u8a69\u3009 \uff0c\u674e\u9686\u57fa\u7684</td></tr><tr><td colspan=\"3\">\u3008\u8cdc\u9053\u58eb\u9127\u7d2b\u967d\u3009 \u3001 \u3008\u96c6\u8ce2\u66f8\u9662\u6210\uff0c\u9001\u5f35\u8aaa\u4e0a\u96c6\u8ce2\u5b78\u58eb\uff0c\u8cdc\u5bb4\u5f97\u73cd\u5b57\u3009 \u3001 \u3008\u8cdc\u5d14\u65e5\u77e5\u5f80\u6f5e\u5dde\u3009 \uff0c</td></tr></table>", |
| "html": null |
| }, |
| "TABREF7": { |
| "text": "\u4e2d\u570b\u6b77\u4ee3\u4eba\u7269\u50b3\u8a18\u8cc7\u6599\u5eab <http://isites.harvard.edu/icb/icb.do?keyword=k35201> \u662f\u54c8\u4f5b\u5927\u5b78 Peter K.", |
| "num": null, |
| "type_str": "table", |
| "content": "<table><tr><td colspan=\"2\">\u500b\u6709\u8da3\u7684\u53ef\u80fd\u61c9\u7528\u3002\u6211\u5011\u4ee5 128 \u4f4d\u4e2d\u5510\u8a69\u4eba\u7684\u4e03\u8a00\u4f5c\u54c1\u7576\u4f5c\u57fa\u790e\u8a9e\u6599\uff0c\u5617\u8a66\u56de\u7b54\u586b\u7a7a\u5f0f</td></tr><tr><td colspan=\"2\">\u7684\u5c0d\u5c0d\u806f\u554f\u984c\u3002\u6211\u5011\u53ef\u4ee5\u5f9e\u7db2\u8def\u4e0a\u627e\u5230\u4e00\u4e9b\u901a\u4fd7\u7684\u5c0d\u806f\u8cc7\u6599 36 \uff0c\u4e0b\u9762\u662f\u4e00\u9053\u586b\u7a7a\u5f0f\u7684\u5c0d</td></tr><tr><td>\u5c0d\u806f\u554f\u984c\uff0c\u7a7a\u767d\u5e95\u7dda\u4e4b\u4e0a\u9700\u8981\u586b\u5165\u9069\u7576\u6587\u5b57\u3002</td><td/></tr><tr><td colspan=\"2\">\u4e0a\u806f\uff1a\u694a\u67f3\u67d3\u7da0\u82b3\u8349\u5730\uff1b\u4e0b\u806f\uff1a__ __ \u6620\u7d05\u8c54\u967d\u5929</td></tr><tr><td colspan=\"2\">\u5728\u9019\u4e00\u554f\u984c\u4e2d\uff0c\u6211\u5011\u9996\u5148\u5f9e\u5510\u8a69\u7684\u8cc7\u6599\u4e2d\u627e\u5230\u8207\"\u694a\u67f3\"\u642d\u914d\u7684\u8a5e\u5f59\u3002\u4e3b\u8981\u7684\u65b9\u6cd5\u5c31</td></tr><tr><td colspan=\"2\">\u662f\u53bb\u627e\u5510\u8a69\u4e4b\u4e2d\uff0c\u7528\u4f86\u8207\"\u694a\u67f3\"\u642d\u914d\u6216\u8005\u5c0d\u4ed7\u7684\u8a5e\u5f59\uff0c\u4f8b\u5982\uff0c \u300c\u694a\u67f3\u9752\u9752\u9ce5\u4e82\u541f\uff0c\u6625\u98a8</td></tr><tr><td>\u9999\u9744\u6d1e\u623f\u6df1\u300d\u548c\u300c\u6545\u4eba\u76f8\u61b6\u50e7\u4f86\u8aaa\uff0c\u694a\u67f3\u7121\u98a8\u87ec\u6eff\u679d\u300d</td><td>37 \u3002\u4ee5\u9019\u4e00\u500b\u7c21\u5316\u7684\u4f8b\u5b50\u4f86\u8aaa\uff0c</td></tr><tr><td/><td>\u5f35</td></tr><tr><td colspan=\"2\">\u5c1a\u658c 2006)\uff0c\u5f9e\u4e00\u4e9b\u5df2\u77e5\u7684\u4eba\u540d\u8cc7\u8a0a\u4f86\u8457\u624b\uff0c\u627e\u5230\u4eba\u540d\u4e4b\u524d\u7684\u76f8\u95dc\u52d5\u8a5e\u3002\u5f9e\u52d5\u8a5e\u8457\u624b\u6240</td></tr><tr><td colspan=\"2\">\u7372\u77e5\u7684\u4eba\u540d\uff0c\u4e0d\u898b\u5f97\u662f\u8a69\u4eba\u7684\u540d\u5b57\uff0c\u4f8b\u5982\u9b4f\u5fb5\u548c\u623f\u7384\u9f61\u5c31\u662f\u653f\u6cbb\u5bb6\uff0c\u9019\u4e00\u985e\u7684\u8cc7\u8a0a\u8ddf\u524d</td></tr><tr><td colspan=\"2\">\u9762\u6240\u63d0\u5230\u7684\u65b9\u5f0f\u6240\u627e\u5230\u7684\u4eba\u969b\u95dc\u4fc2\u6709\u4e92\u88dc\u7684\u6548\u7528\u3002\u5982\u679c\u6211\u5011\u5728\u5510\u8a69\u4e4b\u4e2d\u641c\u7d22\u300c\u4e2d\u570b\u6b77\u4ee3</td></tr><tr><td colspan=\"2\">\u4eba\u7269\u50b3\u8a18\u8cc7\u6599\u5eab\u300d\u4e2d\u7684\u5510\u4ee3\u4eba\u7269\u8cc7\u6599\uff0c\u6216\u8a31\u4e5f\u53ef\u4ee5\u767c\u73fe\u4e00\u4e9b\u5148\u524d\u6240\u672a\u77e5\u7684\u4eba\u969b\u95dc\u4fc2\u3002</td></tr><tr><td>6 \u5c0d\u806f</td><td/></tr><tr><td colspan=\"2\">\u5c0d\u5c0d\u806f\u662f\u4e00\u7a2e\u6bd4\u8f03\u8cbc\u8fd1\u6c11\u9593\u7684\u6587\u85dd\u6d3b\u52d5\uff0c\u4ee5\u5510\u8a69\u4e2d\u5c0d\u4ed7\u6216\u8005\u642d\u914d\u7684\u8a5e\u5f59\u4f86\u5c0d\u5c0d\u806f\uff0c\u662f\u4e00</td></tr><tr><td>31 \u9019\u4e09\u7247\u6bb5\u5206\u5225\u4f86\u81ea\u674e\u767d\u7684\u3008\u8d60\u5185\u3009 \u3001 \u3008\u8d08\u6c6a\u502b\u3009\u548c\u3008\u8944\u967d\u6b4c\u3009 \u3002</td><td/></tr><tr><td colspan=\"2\">32 \u9019 15 \u9996\u8a69\u6b4c\u5305\u542b\u675c\u752b\u7684\u3008\u8d08\u674e\u767d\u3009 (\u7b2c 216\u3001224 \u5377\u5404\u4e00\u9996)\u3001 \u3008\u9001\u5b54\u5de2\u7236\u8b1d\u75c5\u6b78\u6e38\u6c5f\u6771\uff0c\u517c\u5448\u674e\u767d\u3009 \u3001</td></tr><tr><td colspan=\"2\">\u3008\u5922\u674e\u767d\u4e8c\u9996\u3009 \u3001 \u3008\u6625\u65e5\u61b6\u674e\u767d\u3009 \u3001 \u3008\u51ac\u65e5\u6709\u61f7\u674e\u767d\u3009 \u3001 \u3008\u5929\u672b\u61f7\u674e\u767d\u3009 \u3001\u4efb\u83ef\u7684\u3008\u5bc4\u674e\u767d\u3009 \u3001\u767d\u5c45\u6613\u7684\u3008\u674e\u767d</td></tr><tr><td colspan=\"2\">\u5893\u3009 \u3001\u9805\u65af\u7684\u3008\u7d93\u674e\u767d\u5893\u3009 \u3001\u912d\u7a40\u7684\u3008\u8b80\u674e\u767d\u96c6\u3009 \u3001\u5f90\u9249\u7684\u3008\u5bc4\u9952\u5dde\u738b\u90ce\u4e2d\u6548\u674e\u767d\u9ad4\u3009 \u3001\u9f4a\u5df1\u7684\u3008\u8b80\u674e\u767d\u96c6\u3009 \u3001</td></tr><tr><td>\u8a31\u5ba3\u5e73\u7684\u3008\u898b\u674e\u767d\u8a69\u53c8\u541f\u3009 \u3001\u4f5c\u8005\u4e0d\u8a73\u7684\u3008\u674e\u767d\u540d\u8a31\u96f2\u5c01\u8b0e\u3009</td><td/></tr><tr><td colspan=\"2\">33 \u9019\u5169\u7247\u6bb5\u5206\u5225\u4f86\u81ea\u7f85\u96b1\u7684\u3008\u6e58\u5357\u6625\u65e5\u61f7\u53e4\u3009\u548c\u3008\u5bc4\u5357\u57ce\u97cb\u9038\u4eba\u3009 \u3002</td></tr><tr><td>34 \u6234\u53d4\u502b\u3008\u904e\u8cc8\u8abc\u5b85\u3009</td><td/></tr><tr><td>35 Bol (\u5305\u5f3c\u5fb7) \u6559\u6388\u6240\u4e3b\u6301\u7684\u7814\u7a76\u8a08\u756b\u6240\u63d0\u4f9b\u7684\u958b\u653e\u8cc7\u6599\u5eab\u3002</td><td/></tr></table>", |
| "html": null |
| }, |
| "TABREF8": { |
| "text": "Long Jiang, and Jing He (2009) Generating Chinese couplets and quatrain using a statistical approach, Proc. of the 23rd Pacific Asia Conf. onLanguage, Information and Computation,[43][44][45][46][47][48][49][50][51][52]", |
| "num": null, |
| "type_str": "table", |
| "content": "<table><tr><td colspan=\"13\">7 \u5510\u8a69\u4f5c\u8005 \u4ee5\u96fb\u8166\u7a0b\u5f0f\u8a08\u7b97\uff0c\u5728\u300c\u6587\u5b78 100\u300d\u7248\u672c\u7684\u300a\u5168\u5510\u8a69\u300b\u4e4b\u4e2d\uff0c\u5408\u8a08\u6536\u9304\u7531 2517 \u4f4d\u76f8\u7570\u59d3 \u540d\u7684\u4f5c\u8005(\u5305\u542b\"\u4e0d\u8a73\")\uff1b\u5728\u300c\u4e2d\u570b\u54f2\u5b78\u66f8\u96fb\u5b50\u5316\u8a08\u5283\u300d\u7248\u672c\u7684\u300a\u5168\u5510\u8a69\u300b\u4e4b\u4e2d\uff0c\u5247\u8868\u5217 Zhou, Ming, \u8868\u516d\u3001 \u300a\u5168\u5510\u8a69\u300b\u4e2d 13 \u4f4d\u8a69\u4eba\u6240\u4f7f\u7528\u7684\u767d 2523 \u4f4d\u76f8\u7570\u59d3\u540d\u7684\u4f5c\u8005(\u5305\u542b\"\u4e0d\u8a73\")\u3002\u9019\u4e00\u4e9b\u4f5c\u8005\u6578\u76ee\u6bd4\u3008\u5fa1\u88fd\u5168\u5510\u8a69\u5e8f\u3009\u4e2d\u6240\u8a18\u9304\u7684 \u6bd4\u7387 A 8.96 18.41 9.73 46.65 23.83 12.55 26.94 15.67 18.80 17.37 15.19 16.30 10.48</td></tr><tr><td colspan=\"2\">\u8a69\u4eba\u4eba\u6578\u9084\u8981\u591a\uff01 \u6bd4\u7387 B 1.87 5.72</td><td>1.80</td><td>5.92</td><td>2.13</td><td>4.66</td><td>7.94</td><td>1.99</td><td>2.28</td><td>7.19</td><td>4.54</td><td>3.70</td><td>3.23</td></tr><tr><td colspan=\"13\">\u5728\u300c\u6587\u5b78 100\u300d\u7248\u672c\u7684\u300a\u5168\u5510\u8a69\u300b\u4e4b\u4e2d\uff0c\u9019\u4e9b\u76f8\u7570\u59d3\u540d\u6709\u4e00\u4e9b\u662f\u5728\u6587\u5b57\u6a94\u6848\u4e2d\u540d\u5b57 \u8a5e\u983b \u8a5e\u5f59 \u5b5f\u6d69\u7136 \u5b5f\u90ca \u674e\u5546\u96b1 \u674e\u767d \u674e\u8cc0 \u675c\u7267 \u675c\u752b \u6eab\u5ead\u7b60 \u738b\u7dad \u767d\u5c45\u6613 \u8a31\u6e3e \u8cc8\u5cf6 \u97d3\u6108</td></tr><tr><td colspan=\"13\">217 \u767d\u65e5 \u4e0d\u5168\u8005\uff0c\u4ee5\u7b2c 204 \u5377\u4e2d\u7684\u3008\u61d0\u7d20\u4e0a\u4eba\u8349\u66f8\u6b4c\u3009\u70ba\u4f8b\uff0c\u6709\u5169\u4f4d\u53ef\u80fd\u7684\u4f5c\u8005\uff1a\u5728\u300a\u5168\u5510\u8a69\u300b 0.75 4.73 1.62 6.92 2.98 1.01 2.42 0.00 1.14 2.04 1.18 2.22 3.23 164 \u767d\u9aee 1.12 3.73 0.54 2.34 1.28 1.62 1.99 0.00 0.85 2.50 1.58 2.22 0.54</td></tr><tr><td colspan=\"13\">\u4e2d\u5217\u70ba\u738b \u4f5c\u54c1\uff0c\u4f46\u662f\u300a\u5fa1\u88fd\u5168\u5510\u8a69\u300b\u6ce8\u91cb\u4e5f\u8aaa\u660e\u53ef\u80fd\u662f\u738b\u9095\u7684\u4f5c\u54c1\u3002\u5728\u8a31\u591a\u6587\u5b57\u7248\u672c 158 \u767d\u96f2 2.99 1.99 0.54 3.79 0.85 1.42 0.86 0.28 7.41 0.95 2.96 4.44 0.27</td></tr><tr><td colspan=\"13\">\u4e4b\u4e2d\uff0c\u904e\u53bb\u56e0\u70ba\u6c92\u6709\" \"\u7684\u96fb\u8166\u5b57\u5f62\uff0c\u6240\u4ee5\u5c31\u628a\" \"\u4ee5\u7a7a\u767d\u53d6\u4ee3\uff0c\u7522\u751f\u4e86\u4e00\u4f4d\u53ea\u662f\u53eb\u4f5c 149 \u767d\u982d 0.00 0.75 0.72 0.67 0.43 2.23 3.37 1.14 0.57 2.23 2.37 0.49 1.61</td></tr><tr><td>86 \u767d\u9996 \"\u738b\"\u7684\u4f5c\u8005\u3002 0.75 74 \u767d\u7389 0.00</td><td>1.00 0.50</td><td>0.18 2.34</td><td>1.56 3.01</td><td>0.43 0.85</td><td>0.20 0.81</td><td>1.99 0.60</td><td>0.85 0.00</td><td>0.85 0.85</td><td>1.02 0.53</td><td>0.59 0.20</td><td>0.25 0.00</td><td>0.81 0.27</td></tr><tr><td colspan=\"13\">\u53e6\u5916\u6709\u4e00\u4e9b\u4f5c\u54c1\u53ef\u80fd\u662f\u4ee5\u5b57\u865f\u7b49\u7684\u5225\u540d\u4f86\u8a18\u9304\u8a69\u4eba\u3002\u4f8b\u5982\u7b2c 823 \u5377\u4e2d\u7684\u3008\u9f8d\u6f6d\u3009\u7684 74 \u767d\u99ac 0.37 0.50 0.00 2.34 4.68 0.00 1.38 2.85 0.85 0.30 0.39 0.00 0.00</td></tr><tr><td colspan=\"13\">\u4f5c\u8005\u662f\u61c9\u7269\uff0c\u5728\u4e2d\u5510\u8a69\u4eba\u4e4b\u4e2d\u6709\u4e00\u4f4d\u97cb\u61c9\u7269\uff0c\u9019\u5169\u4eba\u662f\u5426\u662f\u540c\u4e00\u4eba\uff0c\u9700\u8981\u4e00\u4e9b\u8003\u8b49\u7684\u529f 63 \u767d\u96ea 0.37 0.25 0.36 2.34 0.00 0.40 1.04 0.28 0.00 0.68 0.79 0.00 0.27</td></tr><tr><td colspan=\"13\">59 \u767d\u5e1d \u592b\u3002\u53e6\u5916\u985e\u4f3c\u7b2c 807 \u5377\u4e2d\u7684\u62fe\u5f97\u548c\u7b2c 862 \u5377\u4e2d\u7684\u6a35\u592b\uff0c\u9019\u4e00\u4e9b\u59d3\u540d\u662f\u672c\u540d\u6216\u8005\u5b57\u865f\uff0c\u4e5f 0.00 0.00 0.18 1.00 0.43 0.00 3.54 0.28 0.00 0.08 0.39 0.00 0.54 58 \u767d\u9732 0.00 0.50 0.18 1.56 0.43 0.00 0.86 0.28 0.28 0.79 0.39 0.99 0.27</td></tr><tr><td>\u662f\u9700\u8981\u6c42\u8b49\u7684\u3002 54 \u767d\u77f3 0.00</td><td>1.00</td><td>0.90</td><td>1.12</td><td>0.43</td><td>0.00</td><td>0.26</td><td>0.57</td><td>0.57</td><td>0.68</td><td>0.20</td><td>1.23</td><td>0.81</td></tr><tr><td colspan=\"13\">38 \u767d\u860b \"\u967d\u6625\"\u3002 \u6211\u5011\u540c\u6a23\u6703\u6aa2\u67e5\u9019\u4e00\u4e9b\u5019\u9078\u9805\u76ee\u7684\u5e73\u4ec4\uff0c\u7136\u5f8c\u518d\u5728\u57fa\u790e\u8a9e\u6599\u4e4b\u4e2d\u8a08\u7b97\u9019\u4e00\u4e9b 0.37 0.75 0.18 0.22 1.28 0.20 0.52 2.85 0.00 0.30 0.20 0.00 0.54 \u4e8c\u5b57\u8a5e\u7684\u983b\u7387\uff0c\u9078\u64c7\u5176\u4e2d\u983b\u7387\u6700\u9ad8\u8005\u3002\u56e0\u6b64\u5728\u8655\u7406\u4e0b\u9762\u9019\u4e00\u5c0d\u806f\u6642\uff0c\u6211\u5011\u6703\u63a8\u85a6\u300c\u9752\u5c71 32 \u767d\u6c34 0.00 0.25 0.00 0.89 1.28 0.00 1.12 0.00 0.57 0.08 0.39 0.00 0.27 8 \u7d50\u8a9e 31 \u767d\u9b1a 0.00 0.00 0.18 0.11 0.00 0.20 0.00 0.00 0.00 0.98 0.00 0.49 0.00</td></tr><tr><td colspan=\"13\">\u96e8\u9806\u980c\u5e74\u83ef\u300d \u3002 30 \u767d\u9dfa 0.00 \u6211\u5011\u5229\u7528\u8a9e\u6587\u5206\u6790\u5de5\u5177\u5f9e\u4e0d\u540c\u7684\u89d2\u5ea6\u5206\u6790\u4e86\u300a\u5168\u5510\u8a69\u300b\u7684\u5167\u5bb9\uff0c\u4ee5\u4f5c\u70ba\u4e00\u4e9b\u5c08\u696d\u7814\u7a76\u7684 0.25 0.00 1.79 0.00 0.40 0.26 0.00 0.85 0.15 0.00 0.25 0.00 25 \u767d\u74a7 0.37 0.25 0.18 1.79 0.85 0.40 0.00 0.28 0.00 0.00 0.00 0.25 0.00</td></tr><tr><td colspan=\"13\">\u4e0a\u806f\uff1a\u570b\u6cf0\u6c11\u5b89\u9054\u76db\u4e16\uff1b\u4e0b\u806f\uff1a__ __ \u96e8\u9806\u980c\u5e74\u83ef 0.00 0.36 1.12 0.00 0.00 0.26 0.00 0.00 0.26 \u57fa\u790e\u3002\u6211\u5011\u900f\u904e\u89c0\u5bdf\u674e\u767d\u548c\u675c\u752b\u7b46\u4e0b\u7684\"\u98a8\"\u3001 \"\u6708\"\u8a5e\u5f59\uff0c\u4f86\u6bd4\u8f03\u5169\u4eba\u7684\u5dee\u7570\uff1b\u4e5f\u900f\u904e\"\u767d 23 \u767d\u694a 0.00 0.20 0.00 0.00 22 \u767d\u84ee 0.00 0.00 0.00 0.00 0.00 0.40 0.00 0.57 0.00 0.61 0.39 0.00 0.00 \u65e5\"\u3001\"\u767d\u9aee\"\u3001\"\u767d\u96f2\"\u3001\"\u767d\u982d\"\u7b49\u8a31\u591a\u767d\u8272\u8a5e\u5f59\u4f86\u89c0\u5bdf\u591a\u4f4d\u8a69\u4eba\u7684\u98a8\u683c\u3002\u6211\u5011\u4ee5\u5206\u6790\u8a5e\u5f59 21 \u767d\u7fbd 0.37 0.25 0.00 0.67 0.00 0.20 0.52 0.28 0.85 0.08 0.00 0.00 0.00 \u4ee5\u4e0a\u9019\u6a23\u7684\u5c0d\u5c0d\u806f\u7684\u6a5f\u5236\uff0c\u4e26\u4e0d\u5982\u5468\u660e\u7b49\u5b78\u8005\u6240\u63a1\u7528\u7684\u6a5f\u5668\u7ffb\u8b6f\u6a5f\u5236\u8907\u96dc(Jiang and Zhou 2008, Zhou et al. 2009)\uff0c\u7a0b\u5e8f\u7c21\u55ae\u8a31\u591a\uff0c\u4f46\u6709\u4e0d\u540c\u7684\u6210\u6548\uff0c\u53ef\u4ee5\u627e\u5230\u4e0d\u540c\u610f\u5883\u7684\u5efa 21 \u767d\u9aa8 0.00 0.25 0.18 1.23 0.00 0.00 0.60 0.00 0.00 0.00 0.00 0.00 0.27 \u7684\u5c0d\u4ed7\u3001\u5171\u73fe\u548c\u4e00\u822c\u642d\u914d\u95dc\u4fc2\u70ba\u51fa\u767c\u9ede\uff0c\u9032\u4e00\u6b65\u63a2\u8a0e\u4e86\u5510\u4ee3\u8a69\u4eba\u904b\u7528\u984f\u8272\u8a5e\u5f59\u7684\u4e00\u4e9b\u73fe 19 \u767d\u9dd7 0.00 0.00 0.00 0.78 0.00 0.20 0.69 0.00 0.00 0.11 0.00 0.00 0.00 \u8c61\u3002\u793e\u6703\u7db2\u8def\u7684\u5206\u6790\u8b93\u6211\u5011\u6709\u6a5f\u6703\u4e00\u7aba\u5510\u4ee3\u8a69\u4eba\u7684\u4e00\u4e9b\u4eba\u969b\u95dc\u4fc2\uff0c\u800c\u5c0d\u5c0d\u806f\u7684\u61c9\u7528\u5247\u806f 19 \u767d\u5c4b 0.00 0.25 0.18 0.00 0.43 0.20 0.86 0.00 0.00 0.11 0.20 0.25 0.00 \u8b70\u8a5e\u5f59\u3002\u91dd\u5c0d\u4e0a\u9762\u5169\u500b\u4f8b\u5b50\u4f86\u8aaa\uff0c\u5fae\u8edf\u4e9e\u6d32\u7814\u7a76\u9662\u7684\u300c\u96fb\u8166\u5c0d\u806f\u300d\u7cfb\u7d71\uff0c\u9996\u9078\u7684\u63a8\u85a6\u5206 \u5225\u662f\u300c\u756b\u7709\u6620\u7d05\u8c54\u967d\u5929\u300d\u548c\u300c\u98a8\u8abf\u96e8\u9806\u980c\u5e74\u83ef\u300d 40 \u3002\u9019\u5169\u7d44\u5c0d\u806f\u539f\u672c\u662f\u5206\u5225\u7528\u300c\u6843\u674e\u6620 19 \u767d\u9db4 0.37 0.25 0.00 0.33 0.00 0.00 0.43 0.00 0.57 0.15 0.39 0.00 0.27 \u7d50\u4e86\u5510\u8a69\u7814\u7a76\u8207\u73fe\u4ee3\u751f\u6d3b\u3002 19 \u7d20\u7434 0.00 0.00 0.18 0.78 0.00 0.00 0.00 0.57 0.28 0.19 0.39 0.25 0.00</td></tr><tr><td colspan=\"13\">\u5728\u76ee\u524d\u7684\u5de5\u4f5c\u4e2d\uff0c\u6211\u5011\u660e\u986f\u672a\u80fd\u5c31\u5510\u8a69\u4e4b\u4e2d\u7684\u97f3\u97fb\u9762\u5411\u9032\u884c\u6df1\u5165\u5206\u6790\u3002\u5e73\u4ec4\u62bc\u97fb\u7b49 19 \u7d20\u624b 0.00 0.00 0.00 1.56 0.00 0.00 0.00 0.85 0.00 0.04 0.20 0.00 0.00 \u7d05\u8c54\u967d\u5929\u300d\u548c\u300c\u98a8\u8abf\u96e8\u9806\u980c\u5e74\u83ef\u300d \u3002 \u4ee5\u4e0a\u9762\u7b2c\u4e00\u7d44\u5c0d\u806f\u4f86\u8aaa\uff0c\u6211\u5011\u6240\u5efa\u8b70\u7684\u300c\u6625\u98a8\u6620\u7d05\u8c54\u967d\u5929\u300d\u548c\u300c\u96fb\u8166\u5c0d\u806f\u300d\u7cfb\u7d71\u6240 18 \u767d\u6d6a 0.37 0.00 0.00 0.56 0.00 0.00 0.17 0.00 0.00 0.23 0.20 0.74 0.00 \u76f8\u95dc\u7684\u8cc7\u8a0a\uff0c\u672a\u80fd\u88ab\u5b8c\u7f8e\u8655\u7406\u6703\u727d\u6d89\u4e00\u4e9b\u554f\u984c\uff0c\u4f8b\u5982\u3001\u6211\u5011\u6c92\u6709\u80fd\u5920\u5168\u9762\u81ea\u52d5\u5316\u5730\u5206\u8fa8 17 \u767d\u8863 0.00 0.00 0.18 0.22 0.00 0.00 0.17 0.00 0.57 0.19 0.20 0.99 0.00</td></tr><tr><td colspan=\"13\">\u53e4\u8a69\u548c\u8fd1\u9ad4\u8a69\u3002\u7d0d\u5165\u97fb\u66f8\u7684\u8cc7\u8a0a\u662f\u6211\u5011\u7684\u7576\u52d9\u4e4b\u6025\u3002\u8a69\u6b4c\u7684\u60c5\u611f\u5206\u6790\u9700\u8981\u5c0d\u65bc\u6587\u5b57\u6709\u9ad8 16 \u767d\u9e7f 0.00 0.00 0.00 0.89 1.28 0.20 0.09 0.00 0.00 0.11 0.00 0.00 0.00 \u5efa\u8b70\u7684\u300c\u756b\u7709\u6620\u7d05\u8c54\u967d\u5929\u300d \uff0c\u5404\u6709\u81ea\u5df1\u53ef\u4ee5\u60f3\u50cf\u7684\u60c5\u5883\u548c\u7f3a\u9ede\u3002 \u300c\u96fb\u8166\u5c0d\u806f\u300d\u7cfb\u7d71\u662f\u4e00\u500b \u958b\u767c\u76f8\u7576\u6642\u65e5\u7684\u7cfb\u7d71\uff0c\u53ef\u4ee5\u8490\u96c6\u76f8\u7576\u591a\u7684\u76f8\u95dc\u8a9e\u6599\u3002\"\u570b\u6cf0\u6c11\u5b89\"\u8ddf\"\u98a8\u8abf\u96e8\u9806\"\u662f\u73fe\u4ee3\u4eba 15 \u767d\u6ce2 0.00 0.25 0.00 0.78 0.43 0.00 0.09 0.00 0.00 0.08 0.59 0.00 0.00 \u5ea6\u7684\u654f\u611f\u5ea6\uff0c\u5982\u679c\u7cfb\u7d71\u8a2d\u8a08\u8db3\u5920\u7d30\u81a9\uff0c\u96fb\u8166\u8edf\u9ad4\u9084\u662f\u6709\u6a5f\u6703\u5c0d\u65bc\u6df1\u5ea6\u60c5\u611f\u7684\u5206\u6790\u6709\u6240\u8ca2 15 \u767d\u9aed 0.00 0.00 0.00 0.00 0.00 0.40 0.00 0.00 0.00 0.45 0.00 0.25 0.00</td></tr><tr><td colspan=\"13\">\u5e38\u5e38\u7528\u5230\u7684\u7d44\u5408\uff0c\u800c\u9019\u6a23\u7684\u7d44\u5408\u5728\u5510\u8a69\u4e4b\u4e2d\u4e26\u4e0d\u6703\u7d93\u5e38\u51fa\u73fe\uff0c\u6240\u4ee5\u5149\u662f\u9760\u5510\u8a69\u7684\u5c0d\u4ed7\u983b \u737b(\u912d\u6c38\u66c9 2012)\u3002 15 \u7693\u9f52 0.00 0.00 0.00 0.78 0.85 0.00 0.26 0.85 0.00 0.00 0.00 0.00 0.00</td></tr><tr><td colspan=\"13\">14 \u767d\u6c99 \u7387\uff0c\u4e0d\u898b\u5f97\u7e3d\u662f\u53ef\u4ee5\u627e\u5230\u9810\u60f3\u7684\u7d44\u5408\u3002 0.00 0.00 0.00 0.33 0.00 14 \u767d\u9ce5 0.00 0.00 0.18 0.00 0.00 \u8a8c\u8b1d 14 \u767d\u82b1 0.00 0.00 0.00 0.22 0.00 \u6539\u8b8a\u57fa\u790e\u8a9e\u6599\u76f4\u63a5\u5f71\u97ff\u4e86\u8a5e\u5f59\u983b\u7387\u7684\u8a08\u7b97\u57fa\u790e\uff0c\u56e0\u6b64\u4e5f\u5f71\u97ff\u4e86\u6240\u63a8\u85a6\u7684\u8a5e\u5f59\u3002\u5982\u679c 0.20 0.43 0.00 0.57 0.11 0.00 0.00 0.00 0.61 0.35 0.28 0.28 0.08 0.00 0.49 0.00 0.40 0.26 0.57 0.00 0.15 0.00 0.00 0.27 \u6211\u5011\u6539\u4ee5\u76db\u5510\u8a69\u4eba\u7684\u4f5c\u54c1\u4f5c\u70ba\u57fa\u790e\u8a9e\u6599\uff0c\u5247\u91dd\u5c0d\u4e0a\u9762\u5169\u7d44\u5c0d\u806f\uff0c\u6211\u5011\u7684\u7a0b\u5f0f\u5c31\u6703\u5206\u5225\u63a8 12 \u767d\u793e 0.75 0.00 0.18 0.00 0.00 0.20 0.00 0.57 0.28 0.08 0.39 0.25 0.00 \u672c \u7814 \u7a76 \u627f \u8499 \u79d1 \u6280 \u90e8 \u4eba\u6587 \u53ca \u793e \u6703 \u79d1 \u5b78 \u7814 \u7a76 \u767c\u5c55 \u53f8 \u6578 \u4f4d \u4eba \u6587 \u5c08 \u984c \u8a08\u756b \u900f \u904e \u7814 \u7a76 \u8a08 \u756b 12 \u767d\u9f8d 0.00 0.25 0.00 0.89 0.00 0.00 0.00 0.28 0.00 0.08 0.00 0.00 0.00</td></tr><tr><td colspan=\"13\">\u85a6\u300c\u9577\u5b89\u6620\u7d05\u8c54\u967d\u5929\u300d\u548c\u300c\u9752\u6625\u96e8\u9806\u980c\u5e74\u83ef\u300d \uff0c\u9664\u4e86\u53c8\u662f\u4e0d\u540c\u7684\u60f3\u50cf\u610f\u5883\u4e4b\u5916\uff0c\u4e5f\u53cd\u6620 12 \u767d\u7d35 0.00 0.00 0.18 0.89 0.00 0.00 0.00 0.28 0.28 0.04 0.00 0.00 0.00 MOST-102-2420-H-004-054-MY2 \u8207\u4e4b\u88dc\u52a9\uff0c\u8b39\u6b64\u81f4\u8b1d\u3002\u7531\u65bc\u8ad6\u6587\u9801\u6578\u7684\u9650\u5236\uff0c\u6211\u5011\u50c5\u80fd 12 \u767d\u665d 0.00 0.00 0.00 0.11 1.70 0.20 0.09 0.00 0.00 0.15 0.20 0.00 0.00</td></tr><tr><td colspan=\"13\">\u4e86\u6642\u4ee3\u7684\u80cc\u666f\u3002\u5728\u5510\u4ee3\u5c0d\u4e0a\u8ff0\u7684\u7b2c\u4e00\u7d44\u5c0d\u806f\uff0c\u4f7f\u7528\"\u9577\u5b89\"\u6216\u8a31\u6bd4\u4f7f\u7528\"\u6843\u674e\"\u8981\u6070\u7576\u3002 \u5728\u53e3\u982d\u5831\u544a\u6642\u56de\u61c9\u8a55\u5be9\u5148\u9032\u7684\u5bf6\u8cb4\u554f\u984c\u548c\u5efa\u8b70\u3002 11 \u767d\u5982</td></tr><tr><td colspan=\"4\">36 \u5c0d\u806f\u5927\u5168\uff1ahttp://duilian.51240.com/ \u53c3\u8003\u6587\u737b</td><td/><td/><td/><td/><td/><td/><td/><td/><td/></tr><tr><td colspan=\"13\">37 \u5206\u5225\u51fa\u81ea\u6c88\u5b87\u7684\u3008\u4ee3\u95a8\u4eba\u3009\u548c\u8cc8\u5cf6\u7684\u3008\u916c\u59da\u5408\u3009 \u674e\u744b\u8cea (2009) \u300a\u665a\u5510\u300c\u6eab\u674e\u300d\u4f5c\u54c1\u5c0d\u5357\u671d\u5bae\u9ad4\u8a69\u4e4b\u627f\u50b3\u8207\u5275\u8b8a\u300b \uff0c\u570b\u7acb\u4e2d\u592e\u5927\u5b78\uff0c\u4e2d\u570b\u6587\u5b78\u7cfb\uff0c\u78a9 38 \u5143\u667a\u5927\u5b78\u7f85\u9cf3\u73e0\u6559\u6388\u7684\u7db2\u7ad9\uff1ahttp://cls.hs.yzu.edu.tw/300/all/primary1/DET3.htm 39 \u76e7\u7db8\u3008\u5949\u966a\u4f8d\u4e2d\u6e38\u77f3\u7b4d\u6eaa\u5341\u4e8c\u97fb\u3009 \u58eb\u8ad6\u6587\uff1b\u6307\u5c0e\u6559\u6388\uff1a\u738b\u529b\u5805\u3002</td></tr><tr><td colspan=\"13\">40 \u5fae\u8edf\u4e9e\u6d32\u7814\u7a76\u9662\u7684\u300c\u96fb\u8166\u5c0d\u806f\u300d\u7cfb\u7d71\u662f\u63d0\u4f9b\u591a\u500b\u6709\u6392\u5e8f\u3001\u53ef\u9078\u64c7\u7684\u8a5e\u5f59\uff0c\u4e26\u6c92\u6709\u76f4\u63a5\u5efa\u8b70\u7279\u5b9a\u8a5e\u5f59\u3002</td></tr></table>", |
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