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{
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"text": "\u8b8a\u9805 Y, I, X \u9593\u7684\u95dc\u4fc2, \u53ef\u4ee5\u7528\u7c21\u5f0f\u4f86\u8868\u9054 Y = I + X \u3002 \u4e2d\u6587\u8a5e\u5f62 CW 1 \u8207 CW 2 \u9593\u7684\u8a5e\u5f59\u8a9e\u610f\u95dc\u4fc2 Y \u53ef\u88ab\u8996\u70ba\u662f I \u8207 X \u7684\u6a5f\u80fd\u7d50\u5408 (functional combination)\u3002 \u6700\u7c21\u55ae\u7684\u4f8b\u5b50\u662f, \u5982\u679c CW 1 \u8207 EW 1 \u9593\u7684 I \u662f\u540c\u7fa9\u95dc\u4fc2, \u90a3\u9ebc\u82f1\u8a9e\u8a5e\u5f62 EW 1 \u8207 EW 2 \u9593\u7684\u8a9e\u610f\u95dc\u4fc2 X , \u5c31\u53ef\u88ab\u9810\u6e2c\u70ba\u662f CW 1 \u8207 CW 2 \u7684\u95dc\u4fc2\u3002 \u540c\u7406, \u85c9\u7531 synset \u4e4b\u4e2d\u4ecb, \u53ef\u9032\u4e00\u6b65\u62d3\u5c55\u5230\u5176\u4ed6\u8a9e\u7a2e\u7684\u8a5e\u7db2\u8cc7\u6e90 (\u5982\u5fb7\u8a9e\u3001 \u897f\u8a9e\u7b49\u7b49)\u3002 \u4e0d\u904e, \u5c31\u5982\u4e4b\u524d\u6240\u63d0\u5230\u7684, \u4e00\u7d44\u96d9\u8a9e\u5c0d\u8b6f\u8a5e\u4e0d\u4e00\u5b9a\u662f \u300c\u540c\u7fa9\u95dc\u4fc2\u300d\u3002 \u7576\u4e0d\u540c\u95dc\u4fc2 (\u4f8b\u5982\u4e0a\u4e0b\u4f4d\u3001 \u90e8\u5206\u8207\u5168\u9ad4\u95dc\u4fc2\u7b49) \u6d89\u5165\u6642, \u6211\u5011\u5c31\u9700\u8981\u4e00\u7d44\u5177\u908f\u8f2f\u6027\u7684\u81ea\u52d5\u63a8\u7406",
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"text": "<relation type=\"HYP\" targetID=\"05560878-n\"/> <relation type=\"HPO\" targetID=\"05588413-n\"/> <relation type=\"HPO\" targetID=\"05588725-n\"/> <relation type=\"HPO\" targetID=\"05588822-n\"/> <relation type=\"HPO\" targetID=\"05588960-n\"/> <relation type=\"HPO\" targetID=\"05589074-n\"/> <relation type=\"HPO\" targetID=\"05589169-n\"/> <relation type=\"HPO\" targetID=\"05589301-n\"/> <relation type=\"HPO\" targetID=\"05589430-n\"/> </ILIRelations> <internalRelations> <relation type=\"HYP\" targetID=\"05560878-n\"/> <relation type=\"HPO\" targetID=\"05588413-n\"/> <relation type=\"HPO\" targetID=\"05588725-n\"/> <relation type=\"HPO\" targetID=\"05588822-n\"/> <relation type=\"HPO\" targetID=\"05588960-n\"/> <relation type=\"HPO\" targetID=\"05589074-n\"/> <relation type=\"HPO\" targetID=\"05589169-n\"/> <relation type=\"HPO\" targetID=\"05589301-n\"/> <relation type=\"HPO\" targetID=\"05589430-n\"/> ",
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{
"text": "\u665a\u8fd1\u4ea6\u6709\u8655\u7406\u6240\u8b02 Textual Entailment \u4e4b\u95dc\u4fc2\u3002 2 \u4f46\u662f, \u5728\u6b64\u6211\u5011\u540c\u6642\u5fc5\u9808\u5148\u7406\u89e3\u5230, \u4e00\u7d44\u96d9\u8a9e\u5c0d\u8b6f\u8a5e\u4e0d\u4e00\u5b9a\u662f \u300c\u540c\u7fa9\u95dc\u4fc2\u300d\u3002 \u6b64\u5916, \u5b83\u5011\u53ef\u80fd\u5728 \u5404\u81ea\u8a9e\u8a00\u7cfb\u7d71\u4e2d\u8207\u4e0d\u540c\u7684\u8a5e/synset \u9593\u6709\u4e0d\u540c\u7684\u8a5e\u5f59\u8a9e\u610f\u95dc\u4fc2\u3002",
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{
"text": "\u7db2\u8def\u5c55\u793a\u7248\u8acb\u898b http://cwn.ling.sinica.edu.tw",
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"ref_id": "b0",
"title": "\u4e2d\u6587\u8a5e\u7fa9\u95dc\u4fc2\u7684\u5b9a\u7fa9\u8207\u5224\u5b9a\u539f\u5247\u3002 Journal of Chinese Information Processing",
"authors": [
{
"first": "",
"middle": [],
"last": "\u8521\u67cf\u751f\u3001 \u9ec3\u5c45\u4ec1\u7b49",
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"year": 2002,
"venue": "",
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"raw_text": "\u8521\u67cf\u751f\u3001 \u9ec3\u5c45\u4ec1\u7b49 (2002). \u4e2d\u6587\u8a5e\u7fa9\u95dc\u4fc2\u7684\u5b9a\u7fa9\u8207\u5224\u5b9a\u539f\u5247\u3002 Journal of Chi- nese Information Processing 16.4.",
"links": null
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"BIBREF1": {
"ref_id": "b1",
"title": "The Feasibility of Bootstrapping an Arabic WordNet Leveraging Parallel Corpora and an English WordNet",
"authors": [
{
"first": "Mona",
"middle": [],
"last": "Diab",
"suffix": ""
}
],
"year": 2004,
"venue": "Proceedings of the Arabic Language Technologies and Resources",
"volume": "",
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"other_ids": {},
"num": null,
"urls": [],
"raw_text": "Diab, Mona. (2004). The Feasibility of Bootstrapping an Arabic WordNet Leveraging Parallel Corpora and an English WordNet. Proceedings of the Ara- bic Language Technologies and Resources, NEMLAR, Cairo.",
"links": null
},
"BIBREF2": {
"ref_id": "b2",
"title": "Translating Lexical Semantic Relations: The First Step Toward Multilingual Wordnets",
"authors": [
{
"first": "Chu-Ren",
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"year": 2002,
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"urls": [],
"raw_text": "Huang, Chu-Ren et al. (2002). Translating Lexical Semantic Relations: The First Step Toward Multilingual Wordnets. COLING 2002, Taipei.",
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"BIBREF3": {
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"year": 2003,
"venue": "",
"volume": "4",
"issue": "",
"pages": "509--532",
"other_ids": {},
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"urls": [],
"raw_text": "Huang, Chu-Ren et al. (2003). Cross-lingual Portability of Semantic Rela- tions: Bootstrapping Chinese Wordnet with English WordNet Relations. Lan- guage and Linguistics 4.3:509-532.",
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"BIBREF4": {
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{
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"year": 2005,
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"raw_text": "Huang, Chu-Ren et al (2005). Cross-lingual Conversion of Lexical Semantic Relations: Building Parallel Wordnets.",
"links": null
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"BIBREF5": {
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{
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{
"first": "Patrick",
"middle": [],
"last": "Pantel",
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"year": 2006,
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"urls": [],
"raw_text": "Pennacchiotti, Marco and Patrick Pantel. (2006). A Bootstrapping Algorithm for Automatically Harvesting Semantic Relations. LREC 2006. Italy.",
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},
"BIBREF6": {
"ref_id": "b6",
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"year": 1998,
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"raw_text": "Vossen, P. (ed). (1998). EuroWordNet: A Multilingual Database with Lexical Semantic Networks. Dordrecht: Kluwer Academic.",
"links": null
}
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"text": "\u672c\u6587\u63d0\u51fa\u4e4b\u57fa\u65bc\u591a\u8a9e\u4e4b\u5927\u898f\u6a21\u8a5e\u7fa9\u95dc\u4fc2\u62bd\u53d6\u6a21\u578b \u4e2d\u5c55\u793a\u4e86\u9019\u500b\u6a21\u578b\u3002 \u6b64\u6a21\u578b\u662f (Huang et al 2002) \u4e4b\u64f4\u5145\u7248\u672c\u3002 \u5716\u4e2d\u7684",
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"text": "SYN\" targetID=\"00692314-v\"/> <relation type=\"HYP\" targetID=\"01529684-v\"/> <relation type=\"HPO\" targetID=\"00692437-v\"/> </ILIRelations> <internalRelations> <relation type=\"HYP\" targetID=\"01529684-v\"/> <relation type=\"HPO\" targetID=\"00692437-v\"/> </internalRelations> </synset> <synset id=\"00002004-x\"> <gloss>\u5f62\u5bb9\u6b63\u5e38\u7684, \u53ea\u7528\u65bc\u7591\u554f\u53e5\u6216\u5426\u5b9a\u53e5, \u5047\u8a2d\u5176\u4e0d\u6b63\u5e38\u3002</gloss> <variants> <variant sense=\"02\">\u5c0d</variant> </variants> 5 \u76ee\u524d\u5df2\u767c\u5c55\u4e86\u66f4\u6709\u610f\u7fa9\u7684\u7de8\u78bc\u65b9\u5f0f, \u76ee\u524d\u7684\u8a2d\u8a08\u7d14\u7cb9\u70ba\u4e86\u5be6\u9a57\u76ee\u7684\u4e4b\u6545\u3002 \u5728\u6b64\u904e\u7a0b\u4e2d, \u525b\u597d\u9644 \u5e36\u7684\u4f5c\u4e86\u8a5e\u7db2\u54c1\u7ba1 Quality Control\u3002 \u5305\u62ec\u8655\u7406\u4e86\u5e7e\u500b\u554f\u984c:(1). \u4e0d\u540c\u7684\u4e2d\u6587 synsets \u537b\u6709\u76f8\u540c\u7684 synset offset;(2). \u76f8\u540c\u7684 gloss \u537b\u6709\u4e0d\u540c\u7684\u666e\u6797\u65af\u9813\u8a5e\u7db2 offset; (3). \u985e\u4f3c\u932f\u8aa4\u7684\u8a3b\u89e3\u3002 \u5982: \u4e0b\u5217\u8a3b \u89e3\u53ef\u80fd\u662f\u76f8\u540c\u7684\u3002 -\u5c07\u524d\u8ff0\u5c0d\u8c61\u6392\u9664\u6216\u5df2\u77e5\u524d\u8ff0\u5c0d\u8c61\u5305\u542b\u5728\u6240\u5c6c\u7bc4\u570d\u3002\u5e38\u7528 \"\u9664... \u4ee5\u5916\"\u3002 -\u5c07\u524d\u8ff0\u5c0d\u8c61\u6392\u9664\u6216\u5df2\u77e5\u524d\u8ff0\u5c0d\u8c61\u5305\u542b\u5728\u6240\u5c6c\u7bc4\u570d\u3002\u5e38\u7528 \"\u9664... \u4e4b\u5916\"\u3002 -\u5c07\u524d\u8ff0\u5c0d\u8c61\u6392\u9664\u6216\u5df2\u77e5\u524d\u8ff0\u5c0d\u8c61\u5305\u542b\u5728\u6240\u5c6c\u7bc4\u570d\u3002\u5e38\u7528 \"\u9664..... \u5916\"\u3002 <ILIRelations> <relation type=\"SYN\" targetID=\"00138021-a\"/> <relation type=\"x_similar\" targetID=\"00137150-a\"SYN\" targetID=\"05587878-n\"/>",
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"text": "\u7d93\u8cbb\u53d6\u5f97\u56f0\u96e3\u3001 \u4f7f\u7528\u983b\u5ea6\u8f03\u4f4e\u4e4b\u8a9e\u8a00\u800c\u8a00, \u5efa\u7acb\u6b64\u9805\u8a9e\u8a00\u8cc7\u6e90\u66f4\u70ba\u4e0d\u6613\u3002 \u5f9e\u8a5e\u5f59\u8a9e \u610f\u8207\u77e5\u8b58\u8868\u9054\u7684\u89d2\u5ea6\u89c0\u5bdf, \u6211\u5011\u8a8d\u70ba\u4e0d\u540c\u8a9e\u8a00\u5c0d\u65bc\u6982\u5ff5\u539f\u7d20 (conceptual atoms), \u53ef\u80fd\u6709\u8457\u4e0d\u540c\u4e4b\u8868\u9054\u65b9\u5f0f, \u4f46\u662f\u5728\u8a5e\u5f59\u8a9e\u610f\u95dc\u4fc2\u7684\u8868\u9054\u4e0a, \u5247\u61c9\u5177\u6709\u66f4\u5927\u7a0b\u5ea6\u4e4b \u300c\u666e\u540c\u6027\u300d\u3002 \u56e0\u6b64 \u300c\u501f\u529b\u300d \u65bc\u5df2\u767c\u5c55\u6210\u719f\u4e4b\u82f1\u8a9e\u3001 \u6b50\u8a9e\u8a5e\u7db2\u4e4b\u8a9e\u610f\u95dc\u4fc2, \u4ee5\u52a0\u901f\u65b0\u7684 \u8a5e\u7db2\u96db\u5f62\u6210\u5f62, \u5c31\u6210\u4e86\u4e00\u500b\u81ea\u7136\u800c\u7136\u7684\u53e6\u985e\u9078\u64c7\u3002 \u57fa\u65bc\u4ee5\u4e0a\u52d5\u6a5f, \u672c\u6587\u4e4b\u7d44\u7e54\u5982\u4e0b: \u7b2c\u4e8c\u7bc0\u63cf\u8ff0\u76ee\u524d\u6709\u95dc\u4e0d\u540c\u4e4b\u8a5e\u5f59\u8a9e\u610f\u95dc\u4fc2\u6240 \u63a1\u7528\u4e4b\u5404\u7a2e\u81ea\u52d5\u3001 \u534a\u81ea\u52d5\u5224\u5b9a\u6f14\u7b97\u6cd5\u3002 \u5728\u7b2c\u4e09\u7bc0\u4e2d, \u6211\u5011\u63d0\u51fa\u4e86\u4e00\u7a2e\u4fbf\u6377\u800c\u6709\u610f\u7fa9 \u7684\u65b9\u6cd5\u8207\u5be6\u9a57\u8a2d\u8a08\u3002 \u6587\u7ae0\u4e4b\u7b2c\u56db\u7bc0\u8a0e\u8ad6\u5be6\u9a57\u7d50\u679c\u4e4b\u8a55\u50f9\u5de5\u4f5c, \u6700\u5f8c\u4e00\u7bc0\u5247\u92ea\u9673\u6211 \u5011\u7684\u7d50\u8ad6\u8207\u672a\u4f86\u7684\u5c55\u671b\u3002 2 \u8a5e\u5f59\u8a9e\u610f\u95dc\u4fc2\u4e4b\u81ea\u52d5\u5224\u5b9a\u6cd5 \u8fd1\u5e74\u4f86, \u95dc\u65bc\u81ea\u52d5\u5224\u5b9a\u6216\u5b78\u7fd2\u8a5e\u5f59\u8a9e\u610f\u95dc\u4fc2\u7684\u7814\u7a76\u6587\u737b\u8d8a\u4f86\u8d8a\u8c50\u5bcc\u3002 \u70ba\u4e86\u91cd\u9ede\u5f37 \u8abf\u4e4b\u65b9\u4fbf, \u672c\u6587\u5c07\u4e4b\u7c97\u5206\u70ba\u5169\u5927\u8d70\u5411: \u5229\u7528\u55ae\u8a9e\u8cc7\u6e90, \u8207\u5229\u7528\u96d9\u8a9e\u6216\u591a\u8a9e\u8cc7\u6e90\u4e4b\u7814 \u7a76\u3002 2.1 \u4f7f\u7528\u55ae\u8a9e\u8cc7\u6e90 \u6b64\u985e\u65b9\u6cd5\u5927\u591a\u4ee5\u8a9e\u6599\u5eab\u53ca\u7db2\u9801\u8cc7\u6599\u70ba\u4e3b, \u5229\u7528\u8a5e\u5f59\u8a9e\u6cd5\u6a21\u5f0f (lexical-syntactic patterns) \u6216\u662f \u300c\u53e2\u96c6\u300d(cluster) \u4f86\u62bd\u53d6\u8a5e\u5f59\u8a9e\u610f\u95dc\u4fc2\u3002 \u76ee\u524d\u9019\u6a23\u7684\u4f5c\u6cd5\u4e4b\u6240\u5ffd\u7565\u7684\u5169 \u500b\u554f\u984c\u662f: (1). \u6240\u62bd\u53d6\u4e4b\u8a9e\u610f\u95dc\u4fc2\u4e0d\u5920\u5168\u9762, \u5927\u534a\u90e8\u5206\u9084\u662f\u53d7\u9650\u5728\u5c11\u6578\u4e4b\u95dc\u4fc2\u4e0a, \u4f8b\u5982 is-a, part-of \u7b49\u7b49\u3002 1 (2).\u6240\u9700\u8981\u7684\u5b78\u7fd2\u5be6\u4f8b (seed instances) \u592a\u591a\u3002 \u6700\u8fd1 (Pennacchiotti and Pantel 2006) \u6240\u63d0\u7684 Espresso \u6f14\u7b97\u6cd5, \u6b32\u91dd\u5c0d\u6b64\u5169\u500b\u554f\u984c\u63d0\u51fa\u65b0\u89e3",
"content": "<table><tr><td>\u6cd5, \u4f46\u662f\u5728\u8a55\u50f9\u4e0a\u5c1a\u672a\u5b8c\u6574, \u4ecd\u6709\u5f85\u89c0\u5bdf\u9032\u4e00\u6b65\u4e4b\u767c\u5c55\u3002</td></tr><tr><td>2.2 \u4f7f\u7528\u96d9\u8a9e\u6216\u591a\u8a9e\u8cc7\u6e90</td></tr><tr><td>\u9019\u500b\u65b9\u5411\u5305\u62ec\u4f7f\u7528\u96d9\u8a9e\u8a9e\u6599\u5eab (Diab 2004); \u5229\u7528\u540c\u7fa9\u8a5e\u96c6\u4e4b\u96d9\u8a9e\u5c0d\u8b6f (bilingual</td></tr><tr><td>correspondences) 2 \u76f4\u63a5\u85c9\u52a9\u65bc\u4ee5\u5b58\u5728\u4e4b\u8a5e\u7db2 (\u901a\u5e38\u4fc2\u666e\u6797\u65af\u9813\u8a5e\u7db2)\u3002 \u5f8c\u8005\u5df2\u6709\u76f8</td></tr><tr><td>\u7576\u591a\u4e4b\u63a2\u8a0e</td></tr></table>",
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"content": "<table><tr><td>, \u897f\u73ed\u7259\u8a5e\u7db2\u8207\u7fa9</td></tr><tr><td>\u5927\u5229\u4e4b MultiWordNet \u8a08\u756b\u7686\u662f\u6b64\u60f3\u6cd5\u4e0b\u4e4b\u5be6\u4f5c\u7522\u7269\u3002</td></tr><tr><td>3 \u5be6\u9a57\u8a2d\u8a08\u8207\u65b9\u6cd5</td></tr><tr><td>\u57fa\u65bc\u524d\u9762\u4e4b\u6587\u737b\u8a0e\u8ad6, \u672c\u6587\u8a8d\u70ba, \u8457\u773c\u65bc\u7576\u524d\u591a\u8a9e\u8655\u7406\u4e4b\u9700\u6c42, \u5728\u7b56\u7565\u4e0a, \u61c9\u8a72\u63a1</td></tr><tr><td>\u53d6\u5148\u6c42\u540c\u518d\u6c42\u7570\u3002 \u56e0\u6b64, \u501f\u529b\u65bc\u5df2\u5b58\u5728\u4e4b\u591a\u8a9e\u8cc7\u6e90\u61c9\u8a72\u662f\u7b2c\u4e00\u6b65\u7684\u5de5\u4f5c\u3002</td></tr></table>",
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"num": null,
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"text": "\u7684\u64f4\u5145\u7248\u672c\u3002 \u5148\u524d\u4e4b\u6587 \u737b, \u5df2\u5c31\u501f\u529b\u65bc\u5176\u4ed6\u6210\u5f62\u4e4b\u8a5e\u7db2\u7684\u8de8\u8a9e\u8a5e\u7fa9\u95dc\u4fc2\u9810\u6e2c\u6240\u6d89\u53ca\u4e4b\u908f\u8f2f\u689d\u4ef6\u52a0\u4ee5\u95e1\u8ff0, \u5728 (Huang et al 2003) \u4e2d, \u4e26\u66fe\u91dd\u5c0d 210 \u500b\u4e2d\u6587\u8a5e\u5f62 (lemma) \u505a\u904e\u5c0f\u898f\u6a21\u4e4b\u8a66\u9a57 \u8207\u8a55\u50f9\u3002 \u672c\u6587\u5247\u63a5\u7e8c\u4e4b\u524d\u7684\u57fa\u790e, \u9032\u4e00\u6b65\u5728\u898f\u6a21\u4e0a\u8207\u591a\u8a9e\u64f4\u5145\u5169\u500b\u9762\u5411\u4e0a\u4f5c\u5ef6\u4f38 \u8a66\u9a57 \u3002 \u4ea6\u5373, \u5728\u898f\u6a21\u4e0a, \u6211\u5011\u5c07\u76ee\u524d\u5728\u4e2d\u7814\u9662\u4e2d\u6587\u8a5e\u7db2\u5c0f\u7d44\u6240\u5b9a\u7fa9\u5b8c\u6210\u4e4b\u4e03\u5343\u591a\u7b46 \u4e2d\u6587\u540c\u7fa9\u8a5e\u96c6\u70ba\u4e3b; \u5728\u591a\u8a9e\u64f4\u5145\u4e0a, \u6211\u5011\u5c07\u6b50\u8a9e\u8a5e\u7db2 (Vossen 1998) \u4ea6\u7d0d\u5165\u5be6\u9a57\u5c0d \u8c61\u3002 \u5176\u4e2d\u5305\u62ec\u4e86\u5fb7\u8a9e\u3001 \u6cd5\u8a9e\u3001 \u6377\u514b\u8a9e\u3001 \u8377\u8a9e\u3001 \u897f\u8a9e\u3001 \u7fa9\u8a9e\u8207\u611b\u6c99\u5c3c\u4e9e\u8a9e\u7b49\u4e03\u7a2e\u6b50\u6d32 \u8a9e\u8a00\u3002 \u672c\u6587\u63d0\u51fa\u4e4b model \u5728\u65b9\u6cd5\u8ad6\u4e0a\u6709\u5169\u500b\u610f\u6db5:",
"content": "<table><tr><td>\u2022 \u5c0d\u65bc\u591a\u8a9e\u4e4b\u8a5e\u7db2\u767c\u5c55, \u53ef\u63d0\u4f9b\u4e00\u500b\u7b26\u61c9 (correspondence) \u8207\u5354\u4f5c (collabo-</td></tr><tr><td>rative) \u67b6\u69cb: \u5728\u4e0d\u540c\u8a9e\u7a2e\u4e4b\u8a5e\u7db2\u4e4b\u9593\u5efa\u7acb\u7b26\u61c9\u95dc\u4fc2, \u662f\u591a\u8a9e\u77e5\u8b58\u8655\u7406\u5de5\u4f5c\u4e4b</td></tr><tr><td>\u4e00\u91cd\u8981\u74b0\u7bc0\u3002 \u6211\u5011\u8a8d\u70ba, \u9019\u7a2e\u7b26\u61c9\u6027\u61c9\u8a72\u662f\u8868\u73fe\u5728\u8a5e\u5f59\u8a9e\u610f\u95dc\u4fc2\u4e0a, \u800c\u975e\u5728</td></tr><tr><td>\u4e0a\u5c64\u77e5\u8b58\u672c\u9ad4 (top ontology) \u6216\u8a5e\u5f59\u7ffb\u8b6f\u4e0a (word translations)\u3002 \u6b64\u5916, \u5728\u8cc7</td></tr><tr><td>\u6599\u7684\u6a19\u8a8c\u8207\u7ba1\u7406\u4e0a, \u6211\u5011\u4ea6\u63a1\u7528\u4e86\u5168\u7403\u8a5e\u7db2\u5354\u6703 (Global WordNet Associa-</td></tr><tr><td>tion) \u6240\u5efa\u8b70\u4e4b XML/Schema \u683c\u5f0f, \u4ee5\u4fbf\u65bc\u5c07\u4f86\u570b\u969b\u8a5e\u7db2\u7db2\u683c (global word-</td></tr><tr><td>net grid) \u74b0\u5883\u67b6\u69cb\u3002</td></tr></table>",
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"num": null,
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"text": "\u4e2d\u82f1\u96d9\u8a9e synset \u5c0d\u8b6f\u8cc7\u6599\u5eab\u53ca\u8a55\u50f9\u6a19\u6ce8 (Huang et al 2003)\u3002 \u6b64\u8cc7\u6599\u5eab\u4fc2\u7531 \u4e2d\u592e\u7814\u7a76\u9662\u8207\u9060\u898b\u79d1\u6280\u80a1\u4efd\u6709\u9650\u516c\u53f8\u5171\u540c\u958b\u767c\u3002 \u5305\u62ec\u4e86\u4ee5 WordNet 1.6 \u4e4b 99,642 \u7b46\u540c\u7fa9\u8a5e\u96c6 (synset) \u70ba\u57fa\u6e96\u4e4b\u4e2d\u6587\u5c0d\u61c9\u7ffb\u8b6f\u3002 \u751f\u6210\u4e2d\u6587\u8a5e\u7db2\u4e4b synset \u56e0\u70ba\u6b63\u5728\u767c\u5c55\u4e2d\u7684\u4e2d\u6587\u8a5e\u7db2\u4e26\u7121\u6b63\u5f0f\u4e4b synset \u683c\u5f0f\u8a2d\u8a08, \u6211\u5011\u63a1\u7528 gloss",
"content": "<table><tr><td colspan=\"4\">\u898f\u5247\u3002 \u8868\u683c\u4e00\u5247\u5217\u51fa\u4e86\u6211\u5011\u6240\u4f7f\u7528\u7684\u8a5e\u5f59\u8a9e\u610f\u95dc\u4fc2\u908f\u8f2f\u63a8\u7406\u898f\u5247\u3002 3 3.2 \u4f7f\u7528\u4e4b\u8a5e\u5f59\u8cc7\u6e90 \u2022 \u6b50\u8a9e\u8a5e\u7db2\u53ca\u666e\u6797\u65af\u9813 WordNet 1.5-1.6 \u5c0d\u61c9\u8868 3.3 \u6b65\u9a5f X Y Bootstrapped Results 1 HYP ANT ANT {CW1, ANTONYM, CW2} 2 HYP HYP HYP {CW1, HYPONOMY, CW2} 3 HYP NSYN HYP {CW1, HYPONYM, CW2} 4 HYP HOL HOL {CW1, HOLONYM, CW2} 5 HYP all other LSRs undecided ? 6 HPO ANT ANT {CW1, ANTONYM, CW2} 7 HPO HPO HPO {CW1, HYPONYM, CW2} 8 HPO NSYN HPO {CW1, HYPONYM, CW2} 9 HPO MER MER {CW1, MERONYM, CW2} 10 HPO all other LSRs undecided ? 11 NSYN ANT ANT {CW1, ANTONYM, CW2} 12 NSYN HYP HYP {CW1, HYPERNYM, CW2} 13 NSYN HPO HPO {CW1, HYPONYM, CW2} 14 NSYN NSYN NSYN {CW1, NEAR-SYNONYM, CW2} 15 NSYN MER MER {CW1, MERONYM, CW2} 16 NSYN HOL HOL {CW1, HOLONYM, CW2} 17 HOL ANT ANT {CW1, ANTONYM, CW2} 18 HOL HYP HYP {CW1, HYPONYM, CW2} 19 HOL NSYN HOL {CW1, HOLONYM, CW2} 20 HOL HOL HOL {CW1, HOLONYM, CW2} 21 HOL all other LSRs undecided ? 22 MER ANT ANT {CW1, ANTOMY, CW2} 23 MER HPO HPO {CW1, HYPONYM, CW2} 3 \u8a73\u7d30\u5be6\u4f8b\u8aaa\u660e\u8acb\u53c3\u898b (Huang et al 2005)\u3002 I 24 MER NSYN MER {CW1, MERONYM, CW2}</td></tr><tr><td>25 MER</td><td>MER</td><td>MER</td><td>{CW1, MERONYM, CW2}</td></tr><tr><td colspan=\"4\">26 MER all other LSRs undecided ?</td></tr></table>",
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"text": "\u8a5e\u5f59\u8a9e\u610f\u95dc\u4fc2\u908f\u8f2f\u63a8\u7406\u898f\u5247 6 matching \u7684\u65b9\u5f0f, \u62bd\u51fa\u3001 \u904e\u6ffe\u4e26\u4f5c\u6d41\u6c34\u7de8\u865f\u3002 5",
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"num": null,
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"text": "\u8a55\u50f9\u7d50\u679c 4.3 \u932f\u8aa4\u5206\u6790 \u5f9e\u7d50\u679c\u4e0a\u770b, \u6211\u5011\u53ef\u8aaa\u6b64\u6cd5\u662f\u4e00\u500b\u76f8\u7576\u53ef\u9760\u7684\u65b9\u5f0f\u3002 \u5f9e\u5404\u9805\u8a9e\u610f\u95dc\u4fc2\u985e\u578b\u4e4b\u932f\u8aa4 \u5206\u4f48\u4f86\u770b, \u6211\u5011\u7684\u89c0\u5bdf\u7d50\u679c\u5927\u81f4\u8207\u5148\u524d\u4e4b\u5c0f\u898f\u6a21\u8a66\u9a57\u76f8\u4f3c\u3002 \u9810\u6e2c\u4e4b\u6b63\u78ba\u7387\u7531\u9ad8\u5230 \u4f4e\u7684\u6392\u5217\u5927\u6982\u90fd\u662f { MPT, x similair to, x pertainym, x also see ... } ANT HYP HPO { OTHER RELATIONS } \u3002 \u8a73\u7d30\u4e4b\u6578\u64da\u7559\u5f85\u5b8c\u6574\u5be6\u9a57 \u7d50\u679c\u518d\u884c\u5206\u6790\u3002 \u6b64\u5916, \u6b64\u7a2e\u7406\u8ad6\u6a21\u5f0f\u8981\u9762\u81e8\u5230\u7684\u4e3b\u8981\u96e3\u984c, \u5305\u62ec\u8a5e\u5f59\u7684\u7f3a\u9694 (lexical gaps) (\u540c\u4e00\u500b\u6982\u5ff5\u5728\u7532\u8a9e\u8a00\u4e2d\u8207\u4e59\u8a9e\u8a00\u6240\u4f7f\u7528\u7684\u8a5e\u5f59\u8868\u9054\u55ae\u4f4d\u4e0d\u540c)\u3001 \u6307\u7a31\u5dee \u7570 (denotation differences) (\u5c0d\u7b49\u7ffb\u8b6f\u5b58\u5728, \u4f46\u662f\u6982\u5ff5\u7684\u62bd\u8c61\u5ea6\u537b\u4e0d\u540c) \u7b49\u7b49, \u5982\u4f55 \u5728\u6280\u8853\u4e0a\u514b\u670d\u9019\u4e9b\u975e\u540c\u7fa9\u95dc\u4fc2\u5c0d\u61c9\u7684\u8a9e\u8a00\u73fe\u8c61, \u503c\u5f97\u5f80\u5f8c\u9032\u4e00\u6b65\u7d30\u7a76\u63a2\u8a0e\u3002 5 \u7d50\u8ad6\u8207\u672a\u4f86\u5c55\u671b \u6309\u6211\u5011\u7684\u8a2d\u60f3, \u8a5e\u7db2\u4e4b\u8a9e\u610f\u95dc\u4fc2\u81ea\u52d5\u5efa\u69cb\u53ef\u4ee5\u5206\u7531\u5168\u57df\u7684 (global) \u8207\u5340\u57df\u7684 (local) \u7279\u5fb5\u5169\u500b\u9762\u5411\u4f86\u8457\u624b\u3002 \u672c\u6587\u5c55\u793a\u4e86\u5229\u7528\u5168\u57df\u7279\u5fb5\u4e4b\u53ef\u884c\u6027, \u4e26\u7531\u6b64\u5efa\u7acb\u4e86\u4e2d \u6587\u8a5e\u7db2\u8a5e\u5f59\u8a9e\u610f\u95dc\u4fc2\u7db2\u8def\u4e4b\u96db\u5f62\u3002 \u5728\u6b64\u57fa\u790e\u4e0a, \u6211\u5011\u4e0b\u4e00\u6b65\u5c07\u7d30\u7a76\u5728\u5730\u8a5e\u7db2\u7684\u7279 \u5fb5\u3002 \u5305\u62ec\u5229\u7528\u8a5e\u5f59\u6a21\u5f0f (lexical patterns) \u5f9e\u8fad\u5178\u91cb\u610f (gloss)\u3001 \u8a9e\u6599\u5eab\u7b49\u8cc7\u6e90\u8403\u53d6",
"content": "<table><tr><td>\u5404\u7a2e\u8a5e\u5f59\u8a9e\u610f\u95dc\u4fc2, \u4ea6\u5305\u62ec\u5229\u7528\u6f22\u8a9e\u4e4b\u69cb\u8a5e\u8a9e\u610f\u6a21\u5f0f\u8207\u6f22\u5b57\u77e5\u8b58\u672c\u9ad4\u8cc7\u6e90 (\u4f8b\u5982</td></tr><tr><td>HanziNet/Hantology), \u4f7f\u6a5f\u5668\u81ea\u52d5\u5b78\u7fd2\u3002 \u6211\u5011\u76f8\u4fe1\u9019\u500b\u6210\u5957\u7684\u534a\u81ea\u52d5\u8a5e\u7db2\u81ea\u52d5\u5efa</td></tr><tr><td>\u69cb\u65b9\u6cd5, \u4ea6\u53ef\u4f9b\u5176\u4ed6\u8a9e\u7a2e\u5efa\u69cb\u8a5e\u7db2\u53c3\u8003\u3002</td></tr></table>",
"type_str": "table"
}
}
}
} |