| { |
| "paper_id": "O11-4002", |
| "header": { |
| "generated_with": "S2ORC 1.0.0", |
| "date_generated": "2023-01-19T08:05:20.031738Z" |
| }, |
| "title": "A Measurement of Multi-Level Semantic Relations among Mandarin Lexemes with Radical mu4: A Study based on Dictionary Explanations \u8d99\u9022\u6bc5 * \u3001\u937e\u66c9\u82b3 +", |
| "authors": [ |
| { |
| "first": "F", |
| "middle": [ |
| "Y August" |
| ], |
| "last": "Chao", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Siaw-Fong", |
| "middle": [], |
| "last": "Chung", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "sfchung@nccu.edu.tw" |
| }, |
| { |
| "first": "\u6458\u8981", |
| "middle": [], |
| "last": "\u672c\u7814\u7a76\u4f7f\u7528\u8fad\u5178\u4e2d\u8a5e\u8a9e\u8207\u91cb\u7fa9\u7684\u95dc\u4fc2\uff0c\u900f\u904e\u8a08\u7b97\u6a5f\u9032\ufa08\u8a5e\u8a9e\u7684\u591a\u968e\u5c64\u91cb\u7fa9\u95dc\uf997", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "\u672c\uf941\u6587\u51fa\u8655\u65bc\u4e2d\u570b\u8607\u5dde\u8209\u8fa6\u4e4b\u300c\u7b2c\u5341\u4e00\u5c46\u6f22\u8a9e\u8a5e\u5f59\u8a9e\u7fa9\u5b78\u7814\u8a0e\u6703", |
| "middle": [], |
| "last": "\u300d\u589e\u4fee\u7248\u672c\u3002", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| } |
| ], |
| "year": "", |
| "venue": null, |
| "identifiers": {}, |
| "abstract": "In this study, we utilize a quantitative method measuring the Multi-Level Semantic Relations based on 4549 Mandarin lexemes containing the radical mu4 (\u76ee). The research is carried out by first extracting all dictionary definitions for all lexemes containing this radical. Then, we consider the different layers of definitions (e.g., the definitions of the keywords in a definition) and measure whether two different mu4 (\u76ee) lexemes are related in meanings. It was found that both width (the number of lexemes covered) and depth (the number of levels to be calculated) contribute to the measurement of semantic relatedness. Some seemingly unrelated mu4 (\u76ee) lexemes are found related when the depth of definitions increases. The study also compares two sets of results-one based on MI value and the other based on t-score. Our findings show that our measurement based on multi-level semantic relations produces better results than MI value does, as a collocation measurement like MI value is less suitable for analyzing semantically related dictionary entries.", |
| "pdf_parse": { |
| "paper_id": "O11-4002", |
| "_pdf_hash": "", |
| "abstract": [ |
| { |
| "text": "In this study, we utilize a quantitative method measuring the Multi-Level Semantic Relations based on 4549 Mandarin lexemes containing the radical mu4 (\u76ee). The research is carried out by first extracting all dictionary definitions for all lexemes containing this radical. Then, we consider the different layers of definitions (e.g., the definitions of the keywords in a definition) and measure whether two different mu4 (\u76ee) lexemes are related in meanings. It was found that both width (the number of lexemes covered) and depth (the number of levels to be calculated) contribute to the measurement of semantic relatedness. Some seemingly unrelated mu4 (\u76ee) lexemes are found related when the depth of definitions increases. The study also compares two sets of results-one based on MI value and the other based on t-score. Our findings show that our measurement based on multi-level semantic relations produces better results than MI value does, as a collocation measurement like MI value is less suitable for analyzing semantically related dictionary entries.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Abstract", |
| "sec_num": null |
| } |
| ], |
| "body_text": [ |
| { |
| "text": "\uff0c\uf965\u662f\u4f7f\u7528\u5df2\u7d93\u5efa\uf9f7\u597d\u7684\u8a5e\u5f59\u5de5\u5177\u9032\ufa08\u8a9e\u610f\u7684\u63a2\uf96a\uff0c\u5982\uff1a\u77e5 \u7db2(Hownet) (Dong & Dong, 2003) \u3001\u82f1\u6587\u7684 Wordnet (Miller, 1995) \u53ca\u4e2d\u7814\u9662\u7684\u4e2d\u6587\u8a5e\u5f59\u7db2\uf937 (Chinese WordNet, CWN) ( Huang, Chang, & Lee, 2004) (2005, 2008) \u5247\u4ee5 \u4eba\u5de5\u7684\u65b9\u5f0f\uff0c\u5f9e\u77e5\uf9fc\u6982\uf9a3\u7684\u5c64\u7d1a\u4e0a\u5efa\uf9f7\u4e2d\u6587\u90e8\u9996\u8207\u6587\u5b57\u4e4b\u9593\u7684\u95dc\u4fc2\uff0c\u900f\u904e\u7269\u8cea(formal)\u3001 \u7d44 \u6210 (constitutive) \u3001 \u529f \u7528 (telic) \u3001 \u4e8b \u4ef6 (participating) \u3001 \uf96b \u8207 \u8005 (participator) \u3001 \u63cf \u8ff0 \uf9fa \u614b (descriptive)\u8207\u7522\u751f(agentive)\u7b49\u4e03\uf9d0\u884d\u751f\u9762\u5411\uff0c\u63a2\u8a0e\u6f22\u5b57\u77e5\uf9fc\u8868\u9054\u7684\u5c64\u9762\u8207\u76ee\u3001\u8033\u3001\u53e3\u3001 \u9f3b\u3001\u820c\u7b49\u4e94\u5b98\uf9d0\u6f22\u5b57\u610f\u7b26(\u6f22\u5b57\u69cb\u5b57\u8981\u4ef6)\u7684\u8a9e\u610f\u95dc\uf997\u3002\u70ba\u80fd\u78ba\u4fdd\u8a5e\u5f59\u8a9e\u610f\u7684\u54c1\u8cea\u8207\u4e00\u81f4 \u6027\uff0c\u9ec3\u5c45\u4ec1\u3001\u8521\u67cf\u751f\u7b49(2003)\u5247\u8a8d\u70ba\uf96b\u8207\u7de8\u64b0\u4eba\u54e1\u9700\u5c0d\u8a5e\u7fa9\u5224\u6e96\u6709\u4e00\u81f4\u6027\u7684\u6e96\u5247\uff0c\u907f\u514d \uf967\u540c\u4eba\u5c0d\u67d0\u4e00\u8a5e\u5f59\u5728\u8a9e\u5883\u4e2d\uff0c\u4f9d\u64da\uf967\u540c\u7684\u76f4\u89ba\u800c\u6709\uf967\u540c\u7684\u5340\u5206\u65b9\u5f0f\u3002 \u53e6\u4e00\u65b9\u9762\uff0c\u8fd1\u5341\u591a\uf98e\uf92d\u8a9e\uf9be\u5de5\u5177\u767c\u5c55\u5c0d\u8a5e\u5f59\u8a9e\u610f\u63a2\u8a0e, \u8207\u8a5e\u5f59\u8a9e\u610f\u4e4b\u9593\u95dc\u4fc2\u7684\u898f\u7bc4 \u6709\u5f88\u5927\u7684\u5e6b\u52a9\u3002\u5e38\ufa0a\u7684\u8a9e\uf9be\u5de5\u5177\u6709\uff1aWordnet (Miller, 1995) \uff0c\u4e00\u500b\u7531\u666e\uf9f4\u65af\u9813\u5927\u5b78\u6240\u767c\u5c55 \u51fa\u7684\u82f1\u6587\u8a9e\uf9be\u5de5\u5177\uff0c\u5176\u4e2d\u5b9a\u7fa9\uf9ba\u8a5e\u5f59\u7684\u6db5\u7fa9\u3001\u4e0a/\u4e0b\u4f4d\u95dc\u4fc2\u8a5e\u3001\u90e8\u4efd/\u5168\u9ad4\u95dc\u4fc2\u8a5e\u8207\u540c\u7fa9\u8a5e\uff1b Hownet (Dong & Dong, 2003) \uff0c\u4ee5\u5e38\uf9fc(common sense)\u5b9a\u7fa9\u4e2d\u6587\u5b57\u5f59\u7684\u7fa9\u539f\uff0c\u4e26\u8a0e\uf941\u7fa9\u539f \u4e4b\u9593\u7684\u95dc\uf997\u6240\u5efa\uf9f7\u7684\u8a5e\u5f59\u77e5\uf9fc\u5eab\uff1b\uf967\u540c\u65bc Hownet \u7684\u7fa9\u539f\u95dc\uf997\u5efa\uf9f7\u539f\u5247\uff0c\u4e2d\u7814\u9662\u7684\u4e2d\u6587 \u8a5e\u5f59\u7db2\uf937(Chinese WordNet, CWN) (Huang, Chang, & Lee, 2004) (Chung et. al., 2009) \uff0c\u4ee5\u5171\u540c\u51fa\u73fe\u7684\u4e8c\ufa01\u96b1\u55bb\u8a5e\u767e\u5206\u6bd4\u8868 \u793a (\"Percentage of co-appearance of 2 nd degree relations\", CoAP", |
| "cite_spans": [ |
| { |
| "start": 37, |
| "end": 56, |
| "text": "(Dong & Dong, 2003)", |
| "ref_id": "BIBREF2" |
| }, |
| { |
| "start": 70, |
| "end": 84, |
| "text": "(Miller, 1995)", |
| "ref_id": "BIBREF5" |
| }, |
| { |
| "start": 120, |
| "end": 148, |
| "text": "( Huang, Chang, & Lee, 2004)", |
| "ref_id": "BIBREF3" |
| }, |
| { |
| "start": 149, |
| "end": 155, |
| "text": "(2005,", |
| "ref_id": null |
| }, |
| { |
| "start": 156, |
| "end": 161, |
| "text": "2008)", |
| "ref_id": null |
| }, |
| { |
| "start": 525, |
| "end": 539, |
| "text": "(Miller, 1995)", |
| "ref_id": "BIBREF5" |
| }, |
| { |
| "start": 603, |
| "end": 622, |
| "text": "(Dong & Dong, 2003)", |
| "ref_id": "BIBREF2" |
| }, |
| { |
| "start": 727, |
| "end": 754, |
| "text": "(Huang, Chang, & Lee, 2004)", |
| "ref_id": "BIBREF3" |
| }, |
| { |
| "start": 755, |
| "end": 776, |
| "text": "(Chung et. al., 2009)", |
| "ref_id": "BIBREF0" |
| } |
| ], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "", |
| "sec_num": null |
| }, |
| { |
| "text": "'VB', 'VC', 'Vi', 'Vt', 'VCL', 'VD', 'VE', 'VF', 'VG', 'VH', 'VHC', 'VI', 'VJ', 'VK', 'VL', 'V_2')\u8207 \u540d\u8a5e\u8a5e\uf9d0('Na', 'Nb', 'Nc', 'Ncc', 'Nd', 'N')\u9032\ufa08\u96b1\u55bb\u95dc\uf997\u7684\u8a08\u7b97\u3002\u6b64\u5916\u4ea6\u5c07\u6a19\u8a18\u5f8c\uf906\u4e2d\u542b\u6709\u5206 \u865f(COLONCATEGORY)\u7684\uf906\u5b50\u522a\u9664\uff0c\u56e0\u5728\u300c\u6559\u80b2\u90e8\u91cd\u7de8\u570b\u8a9e\u8fad\u5178\u4fee\u8a02\u672c\u300d\u7684\u91cb\u7fa9\u4e2d\uff0c\u4f7f \u7528\u5230\u5206\u865f\u7684\uf906\u5b50\u70ba\uf92d\u6e90\u6216\uf9b5\uf906\u7684\uf96f\u660e\u3002\u63a5\u8457\u4ee5\u300c\u7784\u300d\u3001\u300c\u7784\u6e96\u300d\u4e8c\u5b57\u70ba\uf9b5\uf96f\u660e\u8655\uf9e4\u904e\u7a0b\uff1a \u300c\u7784\u300d\u70ba\u300c\u6ce8\u8996\u300d \uff1b \u300c\u7784\u6e96\u300d\u70ba\u300c\u7528\u773c\u775b\u6ce8\u8996\u76ee\u6a19\uff0c\u4f7f\u767c\u5c04\u3001\u6295\u5c04\u7684\u52d5\u4f5c\u6e96\u78ba\u3002\u300d \u6b64\u4e8c\u7d44\u5b57\u8a5e\u4e4b\u9593\u56e0\u5305\u542b\u300c\u6ce8\u8996\u300d\u800c\u7522\u751f\uf9ba\u91cb\u7fa9\u95dc\uf997\u3002\u6240\u53d6\u5f97\u7684\u91cb\u7fa9\u5728\u7d93\u904e\u65b7\u8a5e\u7cfb\u7d71\u8655\uf9e4 \u53ca\u8a5e\uf9d0\u904e\uf984\u5f8c\uff0c\u4fdd\uf9cd\u4e0b\u7684\u91cb\u7fa9\u5206\u5225\u70ba\uff1a \u300c\u7784\u300d\u70ba\u300c\u6ce8\u8996(VC)\u300d \uff1b \u300c\u7784\u6e96\u300d\u70ba\u300c\u773c\u775b(Na)\u6ce8\u8996(VC)\u76ee\u6a19(Na)\u4f7f(VL)\u767c\u5c04(VC)\u6295\u5c04(VC)\u52d5\u4f5c(Na)\u300d \u5f9e\u4e0a\u8ff0\u7684\u8cc7\uf9be\u53ef\u77e5\uff0c\u300c\u7784\u300d\u8207\u300c\u7784\u6e96\u300d\u5171\u540c\u4f7f\u7528\u7684\u91cb\u7fa9\u8a5e\u70ba\u300c\u6ce8\u8996\u300d\u3002\u672c\u7814\u7a76\u7684\u91cb\u7fa9\u95dc \uf997\u8a08\u7b97\uff0c\uf96b\u8003\u77e5\uf9fc\u6982\uf9a3\u96b1\u55bb\u8a08\u7b97", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "", |
| "sec_num": null |
| }, |
| { |
| "text": ") \u3002\u5176\u4e2d\uf9a8 x \u70ba\uf92d\u6e90\u8a5e\u8a9e\u7684 \u5b57\u8a5e\uff0c\u5176\u904e\uf984\u5f8c\u7b26\u5408\u7684\u5b57\u8a5e\u96c6\u5408\u70ba X\uff0c\u800c y \u70ba\u76ee\u6a19\u8a5e\u8a9e\uff0c\u5176\u904e\uf984\u5f8c\u7b26\u5408\u7684\u5b57\u8a5e\u96c6\u5408\u70ba Y\uff1b X Y \u2229 \u5247\u70ba\uf978\u7d44\u5b57\u8a5e\u5171\u540c\u6240\u4f7f\u7528\u7684\u8a5e\u7d44\uff0cx\u3001y \u500b\u5225\u7684\u4e8c\ufa01\u96b1\u55bb\u8a5e\u767e\u5206\u6bd4\u70ba\uff1a ( ) X Y CoAP x X = \u2229 \uff0c (1) \u57fa\u65bc\u8fad\u5178\u8a5e\u5f59\u91cb\u7fa9\u4e4b\u591a\u968e\u5c64\u91cb\u7fa9\u95dc\uf997\u7a0b\ufa01\u8a08\uf97e-\u4ee5\u300c\u76ee\u300d\u5b57\u90e8\u70ba\uf9b5 25 \u5728 X \u6240\u6709\u91cb\u7fa9\u4e2d\u8207 Y \u5171\u540c\u51fa\u73fe\u7684\u5b57\u8a5e\u7684\u6bd4\uf9b5\uff0c\u540c\uf9e4 ( ) X Y CoAP y Y = \u2229 \uff0c (2) \u5373 Y \u6240\u6709\u91cb\u7fa9\u4e2d\u8207 X \u5171\u540c\u51fa\u73fe\u7684\u5b57\u8a5e\u7684\u6bd4\uf9b5\u3002 \u4f9d\u524d\uf9b5\uff0c\u300c\u7784\u300d\u5b57\u7684\u91cb\u7fa9\u70ba\uff1a\"\u6ce8\u8996(VC) \"\u3001\u300c\u7784\u6e96\u300d\u7684\u91cb\u7fa9\u50c5\u4fdd\uf9cd\uff1a\"\u773c\u775b(Na) \u6ce8\u8996(VC) \u76ee\u6a19(Na) \u4f7f(VL) \u767c\u5c04(VC) \u6295\u5c04(VC) \u52d5\u4f5c(Na) \"\uff0c\u5247 1 ) ( ) ( ) ( = = \u6ce8\u8996 \u6ce8\u8996 \u7784 CoAP \uff0c\u540c\uf9e4 7 1 ) ( ) ( ) ( = = \u3001\u767c\u5c04\u3001\u6295\u5c04\u3001\u52d5\u4f5c \u773c\u775b\u3001\u6ce8\u8996\u3001\u76ee\u6a19\u3001\u4f7f \u6ce8\u8996 \u7784\u6e96 CoAP \u300c\u7784\u300d\u5b57\u5c0d\u300c\u7784\u6e96\u300d\u7684\u91cb\u7fa9\u95dc\uf997\u5927\u65bc\u300c\u7784\u6e96\u300d\u5c0d\u300c\u7784\u300d\u7684\u91cb\u7fa9\u95dc\uf997\u3002\u610f\u5373\u300c\u7784\u300d\u6240\u542b\u7684 \u6982\uf9a3(\u5373\u5171\u6709\u7684\u6982\uf9a3\u8a5e\u5f59\uff0c\"\u6ce8\u8996(VC)\")\u80fd\u88ab\u300c\u7784\u6e96\u300d\u6240\u5305\u62ec\uff0c\u800c\u300c\u7784\u6e96\u300d\u7684\u6982\uf9a3\u537b\u7121\u6cd5\u900f \u904e\u300c\u7784\u300d\u7684\u6982\uf9a3\u5b8c\u6574\u8a6e\u91cb\u3002\u6700\u5f8c\u518d\u900f\u904e\u7db2\uf937\u5206\u6790\u5de5\u5177 Pajek (http://vlado.fmf.uni-lj.si/ pub/networks/pajek/) \u9032\ufa08\u91cb\u7fa9\u95dc\uf997\u7db2\uf937\u7684\u7e6a\u88fd\uff0c\u5982\u5716 1\u3002\u5716\u4e2d\u8868\u793a\u300c\u7784\u300d\u8207\u300c\u7784\u6e96\u300d(\u6df1 \u8272\u65b9\u578b\uff0c\u8fad\u5178\u8a5e\u5f59)\u5728\u91cb\u7fa9\u4e4b\u4e2d\u90fd\u6709\u4f7f\u7528\u5230\"\u6ce8\u8996\" (\u6dfa\u8272\uf958\u578b\uff0c\u8fad\u5178\u91cb\u7fa9\u4e2d\u7684\u91cb\u7fa9\u95dc\uf997\u5a92 \u4ecb\u6587\u5b57)\u3002\u7531\u6b64\u53ef\u5f97\u77e5\uff0c\u300c\u7784\u300d\u8207\u300c\u7784\u6e96\u300d\u5728\u8fad\u5178\u91cb\u7fa9\u4e4b\u4e2d\u90fd\u6703\u4f7f\u7528\"\u6ce8\u8996\"\uf92d\u63cf\u8ff0\uf978\u8005\u6db5\u7fa9\u3002 \u5716 1.\u300c\u7784\u6e96\u300d\u8207\u300c\u7784\u300d\u4e4b\u8a9e\u610f\u5a92\u4ecb\u7db2\uf937 (\uf958\u578b\u70ba\u91cb\u7fa9\u95dc\uf997\u5a92\u4ecb\uff0c\u65b9\u578b\u70ba\u8fad \u5178\u8a5e\u8a9e) \u5716 2.\u300c\u77da\u300d\u53ca\u5305\u6db5\u300c\u77da\u300d\u5b57\u4e4b\u8a5e\u8a9e\u9593 \u4ea4\u4e92\u8a9e\u610f\u5a92\u4ecb\u7db2\uf937 \u540c\uf9e4\uff0c\u8a08\u7b97\u300c\u77da\u300d\u8207\u5176\u76f8\u95dc\u5b57\u8a5e(\u5305\u62ec\u300c\uf9a8\u4eba\u77da\u76ee\u300d\u3001\u300c\u500d\u53d7\u77da\u76ee\u300d\u3001\u300c\u5099\u53d7\u77da\u76ee\u300d\u3001 \u300c\u53d7\u4eba\u77da\u76ee\u300d\u3001\u300c\u5f15\u4eba\u77da\u76ee\u300d\u3001\u300c\u773e\u6240\u77da\u76ee\u300d\u3001\u300c\u77da\u671b\u300d\u3001\u300c\u77da\u76ee\u300d\u3001\u300c\u8209\u4e16\u77da\u76ee\u300d\u3001 \u300c\u9060\u77da\u300d\u3001\u300c\u99ed\u77da\u300d\u3001\u300c\u9ad8\u77bb\u9060\u77da\u300d\u3001\u300c\uf988\u77da\u300d)\u7b49 14 \u500b\u8a5e\u8a9e\uff0c\u5c07\u5176\u4e2d\u7522\u751f\u8a9e\u610f\u95dc\uf997\u7684", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "", |
| "sec_num": null |
| }, |
| { |
| "text": "8 \u500b\u8a5e\u8a9e\u7e6a\u6210\u8a9e\u610f\u5a92\u4ecb\u7db2\uf937\u70ba\u5716 2\u3002\u5f9e\u5716 2 \u53ef\u77e5\u300c\u77da\u300d\u53ca\u4f7f\u7528\u5230\u300c\u77da\u300d\u5b57\u7684 8 \u500b\u8a5e\u8a9e\u4e4b\u4e2d\uff0c \u4f9d\u91cb\u7fa9\u7684\u52d5\u8a5e\u53ca\u540d\u8a5e\u7684\u4f7f\u7528\u60c5\u6cc1\u53ef\u4ee5\u5340\u5206\u70ba\uf978\u500b\u7fa4\uff0c\u5373\u5716 2 \u4e2d\u7684\u534a\u4e0b\u65b9\u7fa4\u96c6\u8207\"\u6ce8\u8996\"\u6709\u91cb\u7fa9\u95dc\uf997 \u8d99\u9022\u6bc5\u3001\u937e\u66c9\u82b3 \u7684\u300c\u77da\u300d\u7fa4\uff0c\u53ca\u5c6c\u65bc\"\u6ce8\u610f\"-\"\u53d7\u5230\"\u91cb\u7fa9\u7684\u7fa4\u3002\u70ba\uf9ba\u80fd\uf901\u6e05\u695a\u5730\uf9ba\u89e3\u96c6\u7fa4\u4e2d\u7684\u7fa9\u6db5\uff0c\u6211\u5011\u8a66\u8457\u5f9e \u91cb\u7fa9\u4e2d\uf9ba\u89e3\u4e2d\u4ecb\u7bc0\u9ede\u7684\u6db5\u7fa9\u5982\u4e0b\uff1a\"\u53d7\u5230\"\u70ba\u55ae\u4e00\u52d5\u8a5e\uff1b\"\u6ce8\u610f\"\u7684\u91cb\u7fa9\u70ba\uff1a\u95dc\u6ce8\uf9cd\u610f\uff1b\"\u6ce8\u8996\"\u7684\u91cb \u7fa9\u70ba\uff1a\u96c6\u4e2d\u8996\u7dda\uff0c\u51dd\u76ee\u800c\u671b\u3002\u56e0\u6b64\"\u6ce8\u8996\"\u7fa4\u76f8\u8f03\u65bc\"\u6ce8\u610f\"-\"\u53d7\u5230\"\u7fa4\u4fdd\u6709\u5be6\u969b\u4e0a\u7684\u8996\u7dda\u3001\u51dd\u671b\u7b49\u91cb \u7fa9\u95dc\uf997\uff0c\u800c\"\u6ce8\u610f\"-\"\u53d7\u5230\"\u91cb\u7fa9\u7684\u8fad\u5178\u8a5e\u5f59\u7fa4\u5247\u6709\u63a5\u53d7\u53ca\u6ce8\u610f\u7684\u91cb\u7fa9\u95dc\uf997\u3002\u7531\u6b64\u53ef\u77e5\uff0c\u61c9\u7528\u77e5\uf9fc \u6982\uf9a3\u96b1\u55bb\u8a08\u7b97\u65bc\u8fad\u5178\u91cb\u7fa9\u4e4b\u4e2d\uff0c\u518d\u85c9\u7531\u8a5e\u5f59\u8a9e\u610f\u5a92\u4ecb\u7db2\uf937\u7684\u96c6\u7fa4\u5177\u9ad4\u5448\u73fe\uff0c\u7d50\u5408\u8a5e\u5f59\u91cb\u7fa9\u7684\u6df1 \u5165\uf9ba\u89e3\uff0c\u6211\u5011\u53ef\u4ee5\uf901\u6e05\u695a\u5730\u5340\u5225\u8fad\u5178\u5982\u4f55\u8a6e\u91cb\u5b57\u5f59\u7684\u6db5\u7fa9\uff0c\u4e5f\uf901\u660e\u767d\u8fd1\u7fa9\u8a5e\u5f59\u4e4b\u9593\u7684\uf967\u540c\u5f62\u5f0f\u3002 \u9032\u4e00\u6b65\u5206\u6790\u5b57\u8a5e\u6642\uff0c\u7531\u65bc\u91cb\u7fa9\u95dc\uf997\u5a92\u4ecb\u6587\u5b57\u7684\u6bd4\uf9b5\u6703\u96a8\u8fad\u5178\u8a5e\u5f59\u7684\u6bd4\uf9b5\u589e\u52a0\uff0c\u4f7f\u5f97 \u91cb\u7fa9\u95dc\uf997\u7121\u6cd5\u5c07\u9ad8\ufa01\u95dc\uf997\u7684\u8a5e\u5f59\u8868\u73fe\u51fa\uf92d\u3002\u56e0\u6b64\uf96b\u8003 Chung et. al. (2009) \u5f9e\u5716 5 \u4e2d\u4ea6\u53ef\u770b\u51fa\u8a5e\u7fa9\u300c\u773c\u8166\u300d\u8207\u300c\u773c\u775b\u300d\u7684\u6982\uf9a3\u76f8\u4f3c\u3002\u96d9\u5b57\u8a5e\u7684\u591a\u968e\u5c64 DRD \u503c \u8f03\u9ad8\u8005\uff0c\u8868\u793a\u5247\u5176\u6982\uf9a3\u6bd4\u8f03\u660e\u78ba\uff0c\u800c\u4e14\u300c\u773c\u775b\u300d\u7684\u8a9e\u610f\u6982\uf9a3\u5360\u7684\u6bd4\uf9b5\u8f03\u9ad8\uff0c\u5982\u300c\u773c\u8a9e\u300d\u3001 \u300c\u773c\u79d1\u300d\u300c\u773c\u7f69\u300d\u7b49\u7b49\u3002\u591a\u968e\u5c64 DRD \u503c\u5728\u4e2d\u7a0b\ufa01\u7684\u96d9\u5b57\u8a5e\u76f8\u8f03\u65bc\u300c\u773c\u775b\u300d\uf92d\uf96f\uff0c\u4e00\u90e8 \u5206\u8457\u91cd\u5728\"\u5668\u5b98\"\u7684\u6982\uf9a3\u4e0a\uff0c\u5982\u300c\u773c\u7736\u300d(0.5)\u3001\u300c\u773c\u5b54\u300d(0.5)\u7b49\uff1b\u53e6\u4e00\u90e8\u5206\u96d9\u5b57\u8a5e\u7684\u6982\uf9a3 \u5247\u662f\u6982\uf9a3\u5ef6\u4f38\u81ea\"\u76ee\uf98a\"\u3001 \"\u773c\uf98a\"\uff0c\u5982\u300c\u773c\u683c\u300d(0.5)\u3001\u300c\u773c\u8fa8\u300d(0.3)\u7b49\u3002 \u591a\u968e\u5c64 DRD \u503c\u5c0f\u7684\u96d9\u5b57\u8a5e\u5247\u662f\u542b\u84cb\u300c\u773c\u775b\u300d\u8207\u5176\u5b83\uf967\u540c\u7684\u6982\uf9a3\u65bc\u4e00\u8a5e\uf9e8\uff0c\u5982\u300c\u773c \u5eab\u300d\u96d6\u7136\u8207\u300c\u773c\u8166\u300d\u5171\u540c\u4f7f\u7528\uf9ba \"\u5916\u7269\"\u3001 \"\u5668\u5b98\"\u3001 \"\u52d5\u7269\"\u3001 \"\u8eab\"\u3001 \"\u89c0\u5bdf\"\u3001\"\u8996\u89ba\"\u3001 \"\u773c\u775b\" \u4e03\u500b\u91cb\u7fa9\u8a5e\uff0c\u4f46\u300c\u773c\u5eab\u300d\u91cb\u7fa9\u539f\u6587\"\u570b\u969b\u7345\u5b50\u6703\u4e2d\u83ef\u6c11\u570b\u7e3d\u6703\u70ba\u63a8\u52d5\u773c\u89d2\u819c\u79fb\u690d\uff0c ", |
| "cite_spans": [ |
| { |
| "start": 406, |
| "end": 450, |
| "text": "\u91cb\u7fa9\u95dc\uf997\u7121\u6cd5\u5c07\u9ad8\ufa01\u95dc\uf997\u7684\u8a5e\u5f59\u8868\u73fe\u51fa\uf92d\u3002\u56e0\u6b64\uf96b\u8003 Chung et. al. (2009)", |
| "ref_id": null |
| } |
| ], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "", |
| "sec_num": null |
| }, |
| { |
| "text": "\u7684\u96b1\u55bb\u95dc\uf997\u8a08 \u7b97\uff0c\u5c07\uf978\u8a5e\u8a9e\u76f8\u4e92\u4e4b\u9593\u5171\u540c\u8a5e\u5f59\u6240\u64c1\u6709\u4e4b\u8a5e\u5f59\u6bd4\uf9b5\u9032\ufa08\u5e73\u5747\uf969\u8a08\u7b97\uff0c\u4ee5\u8868\u793a\uf92d\u6e90\u53ca\u76ee\u6a19 \u91cb\u7fa9\u95dc\uf997\u76f8\u4e92\u4e4b\u9593\u7684\u91cb\u7fa9\u95dc\uf997\u7a0b\ufa01 (Definition Relation Degree, DRD)\uff1a ( ) ( ) 2 , 0 1 ( ) ( ) xy xy CoAP x CoAP y DRD DRD CoAP x CoAP y = \u2264 \u2264 + (3) \u627f\u524d\uf9b5\uff0c\u300c\u7784\u300d\u8207\u300c\u7784\u6e96\u300d\uf978\u8a5e\u4e4b\u9593\u7684\u91cb\u7fa9\u95dc\uf997\u7a0b\ufa01\u5373\u70ba\uff1a , , 1 1( ) ( ) ( ) 7 2 2 0.25 1 ( ) ( ) 1 7 CoAP CoAP DRD DRD CoAP CoAP = = = = + + \u7784 \u7784\u6e96 \u7784\u6e96 \u7784 \u7784 \u7784\u6e96 \u7784 \u7784 \u6e96 \u5f9e\u300c\u7784\u300d\u8207\u300c\u7784\u6e96\u300d\u7684\u91cb\u7fa9\u4e4b\u4e2d\u53ef\u77e5\uff0c\u96d6\u7136\uf978\u8005\u5171\u540c\u4f7f\u7528\u300c\u6ce8\u8996\u300d\u70ba\u91cb\u7fa9\u8a5e\uff0c\u4f46\u56e0\u70ba\u300c\u7784 \u6e96\u300d\u7684\u91cb\u7fa9\u8a5e\u4f7f\u7528\u8f03\u591a\u540d\u8a5e\u8207\u52d5\u8a5e\uff0c\u5373\u300c\u7784\u6e96\u300d\u7684\u6982\uf9a3\u8f03\u300c\u7784\u300d\u7684\u6982\uf9a3\u8907\u96dc\uff0c\u5f9e\u800c\ufa09\u4f4e \uf9ba\uf978\u8a5e\u5f59\u9593\u7684\u91cb\u7fa9\u95dc\uf997\u7a0b\ufa01\u3002 \u8868 1.\u300c\u77da\u300d\u53ca\u5305\u6db5\u300c\u77da\u300d\u5b57\u4e4b\u8a5e\u9593\u4ea4\u4e92\u91cb\u7fa9\u95dc\uf997\u7a0b\ufa01\u8868 \u8a5e(\u4e00) \u8a5e(\u4e8c) \u8a5e(\u4e00)\u5c0d\u8a5e(\u4e8c) \u4e4b CoAP \u8a5e(\u4e8c)\u5c0d\u8a5e(\u4e00) \u4e4b CoAP \u8a5e(\u4e00)\u8207\u8a5e(\u4e8c) \u7684 DRD \u77da \u77da\u76ee 1 1 1 \u5099\u53d7\u77da\u76ee \u53d7\u4eba\u77da\u76ee 1 0.5 0.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "", |
| "sec_num": null |
| }, |
| { |
| "text": "EQUATION", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [ |
| { |
| "start": 0, |
| "end": 8, |
| "text": "EQUATION", |
| "ref_id": "EQREF", |
| "raw_str": "\u52d5\u7269 N \u540d N \u722c\u87f2\uf9d0 N \u6709 Vt \uf9f2 \u76ee N \u9577 Vt \u9838\u90e8 N \u6709 Vt \u6709 Vt \u767d\u908a N \u9ed1\u5fc3 Vi \u74b0\uf9fa N \u6591\u7d0b N \u5f62 N \u5982 P \u773c\u775b N \u80cc Vt \u8910\u8272 N \u8179 N \u9752\u767d\u8272 N \u6bd2\u7259 N \u6709 Vt \u6e9d N \u6ce8 Vt \u6bd2\u6db2 N \uf960 Vi \u9838 N \u81a8\u5927 Vi \u6602\u9996 Vi \u76f4\uf9f7 Vi \u665d\u4f0f\u591c\u51fa Vi \u4fd7\u7a31\u70ba Vt \u98ef\u5319\u5029 N \u52d5\u7269 0.05 \u7d9c\u5408\u4e0a\u8ff0\u5206\u6790\uff0c\u76f4\u63a5\u4f7f\u7528\u91cb\u7fa9\u95dc\uf997\u7a0b\ufa01(DRD)\u6240\u5f97\u7684\u503c\uff0c\u56e0\u53d7\u8a5e\u5f59\u6240\u4f7f\u7528\u7684\u91cb\u7fa9\u6587 \u5b57\u9577\u77ed\u6216\u6db5\u84cb\u7684\u77e5\uf9fc\u6982\uf9a3\u591a\u5be1\uff0c\u800c\u6709\uf967\u540c\u7684\u5f71\u97ff\u3002\u6b64\u5916\uf974\u6240\u4f7f\u7528\u7684\u91cb\u7fa9\u6587\u5b57\u6c92\u6709\u5b8c\u5168\u7684 \u5c0d\u61c9\uff0c\u5247\u7121\u6cd5\u7d0d\u5165\u76f8\u540c\u8a5e\u7d44\u7684\u8a08\u7b97\u3002\u6700\u5f8c\u91cb\u7fa9\u95dc\uf997\u8a08\u7b97\u55ae\u5143\u662f\u4ee5\u5b57\u8207\u8fad\u5f59\u6240\u542b\u7684\u300c\u77e5\uf9fc \u6982\uf9a3\u300d\uff0c\u56e0\u6240\u6709\u904e\uf984\u5f8c\u7684\u8fad\u5f59\u5b57\u8a5e\u662f\u76f8\u7b49\u6b0a\u91cd\uff0c\u56e0\u6b64\u5728\u8a08\u7b97\u4e0a\u5247\uf967\u9700\u70ba\u500b\u5225\u77e5\uf9fc\u6982\uf9a3\u52a0 \u6b0a\u3002\u53cd\u89c0\u91cb\u7fa9\u6587\u5b57\u5728\u7de8\u64b0\u6642\uff0c\u6703\u56e0\u8a72\u8a5e\u5f59\u6982\uf9a3\u5167\u5bb9\u7279\u6b8a\u800c\u7279\u5225\u504f\u91cd\u5728\u5e7e\u500b\u8a5e\u4e0a\u3002\u56e0\u70ba DRD \u7684\u91cb\u7fa9\u95dc\uf997\u8a08\u7b97\u4e0a\uff0c\u662f\u5c07\u53d6\u81ea\u91cb\u7fa9\u7684\u8a5e\u7d44\u8996\u70ba\u5305\u62ec\u90e8\u5206\u6216\u5168\u90e8\u7684\u77e5\uf9fc\u6982\uf9a3\u55ae\u5143\u9032\ufa08\u8a08\u7b97\uff0c \u5f9e\u800c\u7121\u6cd5\u5b8c\u6574\u8868\u9054\u500b\u5225\u91cb\u7fa9\u8a5e\u7d44\u6240\u542b\u84cb\u77e5\uf9fc\u6982\uf9a3\u7684\u6b0a\u91cd\u3002 3.2 \u591a\u968e\u5c64\u91cb\u7fa9\u95dc\uf997 \u524d\u8ff0\u5df2\u8a0e\uf941\u904e\uff0c\u61c9\u7528\u57fa\u65bc\u8fad\u5178\u91cb\u7fa9\u7684\u91cb\u7fa9\u95dc\uf997\u7a0b\ufa01\u503c DRD \u8a08\u7b97\u6642\uff0c\u6703\u56e0\u91cb\u7fa9\u4e2d\u55ae\u8a5e\u7684 \u6b0a\u91cd\u8207\u89e3\u91cb\u6587\uf906\u9577\u77ed\u800c\u5f71\u97ff DRD \u503c\u3002\u70ba\uf9ba\u6539\u5584\u91cb\u7fa9\u95dc\uf997\u8a08\u7b97\u4f7f\u5176\uf901\u52a0\u7cbe\u78ba\uff0c\u672c\u7814\u7a76\u63d0 \u51fa\u591a\u968e\u5c64\u91cb\u7fa9\u95dc\uf997(Multi-level Definition Relation Degree, MDRD)\u3002\u9ec3\u5c45\u4ec1\u6307\u51fa(2005)\u6f22\u8a9e \u7684\u8a5e\u662f\u77e5\uf9fc\u8868\u9054\u7684\u6700\u57fa\u672c\u55ae\u4f4d\uff0c\u56e0\u6b64\u5728\u91cb\u7fa9\u4e4b\u4e2d\u6240\u4f7f\u7528\u7684\u8a5e\u7d44\u4e5f\u53ef\u4ee5\u518d\u900f\u904e\u8fad\u5178\u7684\u91cb\u7fa9\uff0c \u64f4\u5145\u5171\u540c\u4f7f\u7528\u7684\u5b57\u8a5e\u800c\u4f75\u5165\u8a08\u7b97\u7684\u6b0a\u91cd\u4e2d\u3002\u672c\u7814\u7a76\u6240\u5efa\uf9f7\u7684\u8fad\u5178\u8a9e\uf9be\u662f\u4ee5\u90e8\u9996\u5c6c\u300c\u76ee\u300d \u7684\u5b57\u8a5e\uff0c\u56e0\u6b64\u9032\ufa08\u91cb\u7fa9\u6587\u5b57\u64f4\u5145\u6642\u6703\u4ee5\u73fe\u6709\u7684\u8fad\u5178\u8a9e\uf9be\u9032\ufa08\u64f4\u5145\u3002 \uf9a8 X 1 \u70ba\u689d\u76ee x \u6240\u6709\u7b26\u5408\u904e\uf984\u689d\u4ef6\u7684\u8fad\u5178\u91cb\u7fa9\u8a5e\u5f59\uff1bX 2 \u70ba X 1 \u91cb\u7fa9\u8a5e\u5f59\u518d\u7d93\u904e\u8fad\u5178\u91cb \u7fa9\u6587\u5b57\u64f4\u5145\u4e26\u7b26\u5408\u904e\uf984\u689d\u4ef6\u8a5e\u5f59\uff1b\u540c\uf9e4\uff0cY 2 \u70ba Y 1 \u7b26\u5408\u7684\u91cb\u7fa9\u8a5e\u5f59\uff0c\u518d\u7d93\u8fad\u5178\u91cb\u7fa9\u64f4\u5145\u5f8c \u4e14\u7b26\u5408\u904e\uf984\u689d\u4ef6\u8a5e\u5f59\u96c6\u5408\u3002\u800c (1 2) (1 2) X Y + + \u2229 \u5247\u5206\u5225\u70ba X 1 \u3001X 2 \u8207 Y 1 \u3001Y 2 \u5171\u540c\u64c1\u6709\u7684\u91cb\u7fa9 \u6587\u5b57\u7684\u96c6\u5408\u3002 \u800c ( ) ( ) ( ) 1 2 1 2 2 , 1 2 ( ) x y X X Y Y CoAP x X X + + = + \u2229 \uff0c\u8868\u5728 x \u6240\u6709\u64f4\u5145\u91cb\u7fa9\u4e2d\u8207 y \u5171\u540c\u4f7f \u7528\u7684\u64f4\u5145\u91cb\u7fa9\u5b57\u8a5e\u7684\u6bd4\uf9b5\uff0c\u5247\u7b2c n \u968e\u5c64\u91cb\u7fa9\u95dc\uf997\u7684\u4e00\u822c\u5f0f\u5373\u53ef\u5beb\u6210\uff1a \u57fa\u65bc\u8fad\u5178\u8a5e\u5f59\u91cb\u7fa9\u4e4b\u591a\u968e\u5c64\u91cb\u7fa9\u95dc\uf997\u7a0b\ufa01\u8a08\uf97e-\u4ee5\u300c\u76ee\u300d\u5b57\u90e8\u70ba\uf9b5 31 , ( ) i i n i n i n x y i i n X Y CoAP x Y = = = = \u2211 \u2211 \u2211 \u2229 (4) , ,", |
| "eq_num": ", , , , ( ) ( ) 2" |
| } |
| ], |
| "section": "", |
| "sec_num": null |
| }, |
| { |
| "text": "0.9 \u773c 1 0.8 \u775c \u773a 2 0.7 \u77ad \u774d \u7746 \u7735 \u7722 \u77d0 \u778b \u76f1 8 0.6 \u76f9 \u77b6 \u77d8 \u77ce \u771a 5 0.5 \u775b \u7761 \u7736 \u7738 \u775a \u7745 \u779a \u77ac \u77b3 \u7725 10 0.4 \u772f \u7787 \u778c \u7728 \u77d3 \u77ca \u776b \u774f \u7739 \u77bc 10 0.3 \u7709 \u77aa \u76ef \u76f2 \u771b \u7768 \u775e \u777d \u7734 \u7729 \u772d \u7720 \u7719 \u771d \u770a \u7707 \u77d4 \u7752 \u7780 \u77a0 \u77bd \u76f3 \u77a2 \u76fb \u77c7 25 0.2 \u778e \u7765 \u76fc \u778d \u779f 5 0.1 \u770b \u776a \u7762 \u77c9 \u7785 \u77a7 \u7791 7 < 0.1 \u76f8 \u774e \u7747 \u7737 \u7760 \u77a5 \u77b0 \u77bb \u7704 9 0 \u7744 \u7784 \u771f \u77bf \u774b \u7779 \u777f \u777e \u7769 \u776c \u7763 \u7766 \u775f \u774a \u773e \u7732 \u7715 \u7708 \uf96d \u77da \u77d5 \u77d7 \u77cd \u776e \u7782 \u778f \u779e \u77ab \u77b7 \u77b5 \u76fe \u773d \u76f4 33", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "", |
| "sec_num": null |
| }, |
| { |
| "text": "\u5728\u5206\u6790\u9019 33 \u500b\u7121\u6cd5\u8207\u300c\u76ee\u300d\u5b57\u7522\u751f\u91cb\u7fa9\u95dc\uf997\u7684\u5b57(\u5373 DRD \u503c\u70ba 0)\uff0c\u5f8c\u53ef\u5c07\u5176\u5340\u5206 \u6210\u4e09\uf9d0\uff1a(1)\u91cb\u7fa9\u6587\u4e2d\u4f7f\u7528\u5230\u90e8\u9996\u5c6c\u300c\ufa0a\u300d\u7684\u5b57\u8a5e\uff0c\u5982\u300c\ufa0a\u300d\u6216\u300c\u8996\u300d\u7b49\u5b57\u8a5e\u3002\u9019\uf9d0\u5b57\u5305 \u62ec\uf9ba\u300c\u7744\u300d\u3001\u300c\u7784\u300d\u3001\u300c\u7769\u300d\u3001\u300c\u774b\u300d\u3001\u300c\u775f\u300d\u3001\u300c\u776e\u300d\u3001\u300c\u774a\u300d\u3001\u300c\u7732\u300d\u3001\u300c\u7708\u300d\u3001 \u300c\u77da\u300d\u3001\u300c\u778f\u300d\u3001\u300c\u779e\u300d\u3001\u300c\u77ab\u300d\u3001\u300c\u77b7\u300d\u3001\u300c\u77b5\u300d\u3001\u300c\u773d\u300d\u3001\u300c\u77d5\u300d\u3001\u300c\u7763\u300d\u3001\u300c\u7779\u300d \u53ca\u300c\u77cd\u300d\u7b49 20 \u5b57\uff1b(2)\u300c\u6559\u80b2\u90e8\u91cd\u7de8\u570b\u8a9e\u8fad\u5178\u4fee\u8a02\u672c\u300d\u6c92\u6709\u7279\u5225\u5c07\u300a\uf96f\u6587\u89e3\u5b57\u300b\u7684\u91cb\u7fa9 \u7d0d\u5165\u3002\u300c\u76f4\u300d\u8207\u300c\u77d7\u300d\uff0c\u9019\uf978\u500b\u5b57\u90fd\u6709\u300c\u76f4\u300d\u7684\u7fa9\u6db5\u3002\u300a\uf96f\u6587\u89e3\u5b57\u300b\u91cb\u300c\u76f4\u300d\u70ba\"\u6b63\ufa0a \u4e5f\uff02\uff1b\u300c\u779e\u300d\uff0c\"\u5e73\u76ee\u4e5f\"\uff1b\u300c\u771f\u300d\uff0c\"\u50ca\u4eba\u8b8a\u5f62\u800c\u767b\u5929\u4e5f\"\u3002\u6bb5\u7389\u88c1\u8a8d\u70ba\u300c\u771f\u300d\u5b57\u65bc\u5b57\u5f62 \u4e2d\u5305\u6db5\uf9ba\u300c\u76ee\u300d\u7684\u6982\uf9a3\uff0c\"\u7368\u8a00\u76ee\u8005\uff0c\u9053\u66f8\u4e91\u990a\u751f\u4e4b\u9053\uff0c\u8033\u76ee\u7232\u5148\u3002\"\u300c\u777f\u300d\u70ba\"\u6df1\u660e\u4e5f\u3002 \u901a\u4e5f\u3002\"\u6bb5\u7389\u88c1\u8a8d\u70ba\u6b64\u5b57\u662f\u53d6\u300c\u76ee\u300d\u5b57\u7684\uff0c\"\u4ece \u3002\u4ece\u76ee\u3002\u6545\u66f0\u6df1\u660e\"\u3002\u300c\u7766\u300d\u70ba\"\u76ee\u9806\u4e5f\"\u3002 \u300c\u7763\u300d\u70ba\"\u5bdf\u4e5f\"\u3002\u300c\u773e\u300d\u70ba\"\u591a\u4e5f\"\uff0c\u6bb5\u7389\u88c1\u8a8d\u70ba\u6b64\u5b57\u70ba\"\u4ece\u4e51\u76ee\"\u3002\u300c\uf96d\u300d\u70ba\"\u8996\u4e5f\"\u3002\u300c\u7715\u300d \u8d99\u9022\u6bc5\u3001\u937e\u66c9\u82b3 \u70ba\"\u76ee\u6709\u6240\u6068\u800c\u6b62\u4e5f\"\u3002\u300c\u777e\u300d\u70ba\"\u76ee\u8996\u4e5f\u3002\u4ece\u6a6b\u76ee\uff0c\u4ece\u5e78\"\u3002\u300c\u77bf\u300d\u70ba\"\u9df9\u96bc\u4e4b\u8996\u4e5f\"\u3002\u300c\u76fe\u300d \u8207\u300c\u7782\u300d\u70ba\"\u6240\u4ee5\u625e\u8eab\u853d\u76ee\"\u3002\u4e0a\u8ff0\u5b57\uf974\u5728\u91cb\u7fa9\u4e4b\u4e2d\u7d0d\u5165\u300a\uf96f\u6587\u89e3\u5b57\u300b\u7684\u91cb\u7fa9\uff0c\u5247 DRD \u503c \u5247\uf967\u70ba 0\u3002(3)\u7121\u6cd5\u5224\u5b9a\u70ba\u8207\u300c\u76ee\u300d\u6709\u95dc\uf997\u7684\u5b57\u3002\u300c\u776c\u300d\u5b57\u7684\u91cb\u7fa9 \"\uf9e4\u6703\"\uff0c\u70ba\u8072\u7b26\u5b57(\u5373 \u300c\u776c\u300d\u7684\u8072\u7b26\u662f\u300c\u91c7\u300d\uff0c\u5f62\u7b26\u662f\u300c\u76ee\u300d)\uff0c\u5176\u7fa9\u6e90\u65bc\u300c\u5062\u776c\u300d(\u540c\u300c\u7785\u776c\u300d\u3001\u300c\u5062\u91c7\u300d) \u70ba\"\uf9e4\u776c\"\u3002\u4e0a\u8ff0\u9664\uf9ba\u300c\u776c\u300d\u5b57\u8f03\u70ba\u7279\u6b8a\u4e4b\u5916\uff0c\u5176\u5b83\u90e8\u9996\u5c6c\u300c\u76ee\u300d\u7684\u5b57\u90fd\u80fd\u900f\u904e\u91cb\u7fa9\u8207\u300c\u76ee\u300d \u7522\u751f\u95dc\uf997\u3002\u591a\u968e\u5c64\u91cb\u7fa9\u95dc\uf997\u7121\u6cd5\u70ba 33 \u500b\u5b57\u5efa\uf9f7\u91cb\u7fa9\u95dc\uf997\uff0c\u662f\u56e0\u70ba\u672c\u7814\u7a76\u4e2d\u6c92\u6709\u6536\u96c6\u90e8\u9996 \u5c6c\u300c\ufa0a\u300d\u7684\u5b57\u8a5e\u91cb\u7fa9\u8207\u300a\uf96f\u6587\u89e3\u5b57\u300b\u4e4b\u4e2d\u7684\u91cb\u7fa9\u3002\u96d6\u7136\u4f7f\u7528\u65bc\u8a08\u7b97\u7684\u8fad\u5178\u91cb\u7fa9\u6709\u6240\u5c40\u9650\uff0c \u4f46\u900f\u904e\u591a\u968e\u5c64\u91cb\u7fa9\u95dc\uf997\u8a08\u7b97\u53ef\u767c\u73fe\u591a\uf969\u5c6c\u300c\u76ee\u300d\u90e8\u7684\u5b57\u8207\u300c\u76ee\u300d\u5b57\u4e4b\u9593\u5b58\u5728\u6709\u5b57\u7fa9\u4e0a\u7684 \u95dc\uf997\uff0c\u9032\u4e00\u6b65\u7684\u5206\u6790\u4e5f\u53ef\u8b49\u660e\u5c6c\u300c\u76ee\u300d\u90e8\u7684\u5b57\u8207\u5c6c\u300c\ufa0a\u300d\u90e8\u7684\u5b57\u8a5e\u9593\u5b58\u5728\u91cb\u7fa9\u4e0a\u7684\u91cb\u7fa9 \u95dc\uf997\u3002", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "", |
| "sec_num": null |
| }, |
| { |
| "text": "3.3 \u591a\u968e\u5c64\u91cb\u7fa9\u95dc\uf997\u7a0b\ufa01\u8207\u5176\u5b83\u8a9e\uf9be\u7d71\u8a08\u503c\u7684\u6bd4\u8f03 \u6211\u5011\u65bc 3.2 \u95e1\u91cb\uf9ba\u591a\u968e\u5c64\u91cb\u7fa9\u95dc\uf997\u7a0b\ufa01\u503c\u7684\u539f\u5247\u3001\u8a08\u7b97\u65b9\u5f0f\u53ca\u61c9\u7528\uff0c\u63a5\u4e0b\uf92d\u5c07\u4ee5\u8a9e\uf9be\u7d71 \u8a08\u65b9\u6cd5\u4e2d\uff0c\u4f7f\u7528\u5927\u6a23\u672c\u9032\ufa08\u8a08\u7b97\u7684 MI Value \u8207 t-score \u70ba\uf9b5\u9032\ufa08\u6bd4\u8f03\u3002\u4ee5 Mutual Information \u8a08\u7b97\u5f97\u5230\u7684 MI Value \u662f\u5728\u4f30\u8a08\uf978\u500b\u5b57\u4e4b\u9593\u7684\u95dc\u4fc2(associations)(Church & Hanks, 1990)\uff0cMI \u7684\u8a08\u7b97\u70ba\uff1a 2 ( , ) ( , ) log ( ) ( ) P x y I x y P x P y \u2261 (6)", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "", |
| "sec_num": null |
| }, |
| { |
| "text": "\u5176\u4e2d\uff0cx, y \u70ba\uf978\u500b\u5f85\u6e2c\u7684\u5b57\u8a5e\uff0c\u5176\u4f7f\u7528\u7684\u6a5f\uf961\u70ba P(x)\u3001P(y)\uff0cI(x, y)\u8868\uf978\u8005\u76f8\u4e92\u5171\u6709 \u7684\u8a0a\u606f\u3002I(x, y)\u5728\u8a08\u7b97\u4e0a\u662f\u4ee5\uf997\u5408\u6a5f\uf961(joint probability)\u7684\u65b9\u5f0f\u8a08\u7b97\uf978\u500b\u5f85\u6e2c\u5b57\u8a5e\u4e4b\u9593\u7684 \u7368\uf9f7\u89c0\u6e2c\u6a5f\uf961\u3002\u900f\u904e\u4e0a\u8ff0\u7684 MI Value \u8a08\u7b97\uff0c\u5f97\u5230\u7684\uf969\u503c\u6c7a\u5b9a\uf978\u5b57\u8a5e\u4e4b\u9593\u7684\u95dc\uf997\uff1a(1)\uf974\u5927 \u65bc 3\uff0c\u5247\u5177\u986f\u8457\u95dc\uf997 (Hunston, 2002) ", |
| "cite_spans": [ |
| { |
| "start": 163, |
| "end": 178, |
| "text": "(Hunston, 2002)", |
| "ref_id": "BIBREF4" |
| } |
| ], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "", |
| "sec_num": null |
| }, |
| { |
| "text": "\uff1b(2)\uf974\u63a5\u8fd1 0 \u5247\u7121\u986f\u8457\u95dc\uf997\uff1b(3)\uf974\u5c0f\u65bc 0\uff0c\u5247\u70ba\u4e92\u88dc \u95dc\uf997\u3002 \u53e6\u4e00\u65b9\u9762\uff0ct-score \u5247\u662f\u70ba\uf9ba\u8a08\u7b97\uf978\u500b\u8a5e\u4e4b\u9593\u662f\u5426\u5177\u7d71\u8a08\u4e0a\u7684\u986f\u8457(Gao & Somers, 1998)\uff0c\u5176\u8a08\u7b97\u65b9\u5f0f\u70ba\uff1a ( ) ( ) ( , ) ( , ) f x f y f x y N t f x y \u2212 \u2248 (7) \u4e0a\u8ff0\uf978\u500b\u5f85\u6e2c\u7684\u5b57\u8a5e x, y\uff0c\u5176\u500b\u5225\u51fa\u73fe\u7684\u6a5f\uf961\u70ba f(x)\u3001f(y)\uff0cf(x,", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "", |
| "sec_num": null |
| } |
| ], |
| "back_matter": [], |
| "bib_entries": { |
| "BIBREF0": { |
| "ref_id": "b0", |
| "title": "Building a Database of Related Concepts of Mandarin Metaphors Based on WordNet and SUMO", |
| "authors": [ |
| { |
| "first": "S", |
| "middle": [ |
| "F" |
| ], |
| "last": "Chung", |
| "suffix": "" |
| }, |
| { |
| "first": "C", |
| "middle": [ |
| "H" |
| ], |
| "last": "Chen", |
| "suffix": "" |
| }, |
| { |
| "first": "F", |
| "middle": [ |
| "Y A" |
| ], |
| "last": "Chao", |
| "suffix": "" |
| } |
| ], |
| "year": 2009, |
| "venue": "IEEE International Conference on Semantic Computing", |
| "volume": "", |
| "issue": "", |
| "pages": "378--383", |
| "other_ids": {}, |
| "num": null, |
| "urls": [], |
| "raw_text": "Chung, S.F., Chen, C.H., & Chao, F.Y.A. (2009). Building a Database of Related Concepts of Mandarin Metaphors Based on WordNet and SUMO. In IEEE International Conference on Semantic Computing, Berkeley, CA, 378-383.", |
| "links": null |
| }, |
| "BIBREF1": { |
| "ref_id": "b1", |
| "title": "Word Association Norms, Mutual Information, and Lexicography", |
| "authors": [ |
| { |
| "first": "K", |
| "middle": [], |
| "last": "Church", |
| "suffix": "" |
| }, |
| { |
| "first": "P", |
| "middle": [], |
| "last": "Hanks", |
| "suffix": "" |
| } |
| ], |
| "year": 1990, |
| "venue": "Computational Linguistics", |
| "volume": "16", |
| "issue": "1", |
| "pages": "22--29", |
| "other_ids": {}, |
| "num": null, |
| "urls": [], |
| "raw_text": "Church, K., & Hanks, P. (1990). Word Association Norms, Mutual Information, and Lexicography. Computational Linguistics, 16(1), 22-29.", |
| "links": null |
| }, |
| "BIBREF2": { |
| "ref_id": "b2", |
| "title": "HowNet-a hybrid language and knowledge resource", |
| "authors": [ |
| { |
| "first": "Z", |
| "middle": [], |
| "last": "Dong", |
| "suffix": "" |
| }, |
| { |
| "first": "Q", |
| "middle": [], |
| "last": "Dong", |
| "suffix": "" |
| } |
| ], |
| "year": 2003, |
| "venue": "IEEE International Conference on Natural Language Processing and Knowledge Engineering", |
| "volume": "", |
| "issue": "", |
| "pages": "650--655", |
| "other_ids": {}, |
| "num": null, |
| "urls": [], |
| "raw_text": "Dong, Z., & Dong, Q. (2003). HowNet-a hybrid language and knowledge resource. In IEEE International Conference on Natural Language Processing and Knowledge Engineering, Beijing, China, 650-655.", |
| "links": null |
| }, |
| "BIBREF3": { |
| "ref_id": "b3", |
| "title": "Sinica BOW (bilingual ontological wordnet): Integration of bilingual WordNet and SUMO", |
| "authors": [ |
| { |
| "first": "C", |
| "middle": [ |
| "R" |
| ], |
| "last": "Huang", |
| "suffix": "" |
| }, |
| { |
| "first": "R", |
| "middle": [ |
| "Y" |
| ], |
| "last": "Chang", |
| "suffix": "" |
| }, |
| { |
| "first": "S", |
| "middle": [ |
| "B" |
| ], |
| "last": "Lee", |
| "suffix": "" |
| } |
| ], |
| "year": 2004, |
| "venue": "Proceedings of the 4th International Conference on Language Resources and Evaluation", |
| "volume": "", |
| "issue": "", |
| "pages": "", |
| "other_ids": {}, |
| "num": null, |
| "urls": [], |
| "raw_text": "Huang, C.R., Chang, R.Y., & Lee, S.B. (2004). Sinica BOW (bilingual ontological wordnet): Integration of bilingual WordNet and SUMO. In Proceedings of the 4th International Conference on Language Resources and Evaluation, Lisbon, Portugal.", |
| "links": null |
| }, |
| "BIBREF4": { |
| "ref_id": "b4", |
| "title": "Corpora in Applied Linguistics", |
| "authors": [ |
| { |
| "first": "S", |
| "middle": [], |
| "last": "Hunston", |
| "suffix": "" |
| } |
| ], |
| "year": 2002, |
| "venue": "", |
| "volume": "", |
| "issue": "", |
| "pages": "", |
| "other_ids": {}, |
| "num": null, |
| "urls": [], |
| "raw_text": "Hunston, S. (2002). Corpora in Applied Linguistics. Cambridge University Press.", |
| "links": null |
| }, |
| "BIBREF5": { |
| "ref_id": "b5", |
| "title": "WordNet: a lexical database for English", |
| "authors": [ |
| { |
| "first": "G", |
| "middle": [ |
| "A" |
| ], |
| "last": "Miller", |
| "suffix": "" |
| } |
| ], |
| "year": 1995, |
| "venue": "Communiations of the ACM", |
| "volume": "28", |
| "issue": "11", |
| "pages": "39--41", |
| "other_ids": {}, |
| "num": null, |
| "urls": [], |
| "raw_text": "Miller, G.A. (1995). WordNet: a lexical database for English. Communiations of the ACM, 28(11), 39-41.", |
| "links": null |
| }, |
| "BIBREF7": { |
| "ref_id": "b7", |
| "title": "\u4e2d\u6587\u8a5e\u5f59\u610f\u7fa9\u7684\u5340\u8fa8\u8207 \u64cd\u4f5c\u539f\u5247\u3002In Proceedings of the Fourth Chinese Lexical Semantics Workshop\uff0c23-25\u3002", |
| "authors": [ |
| { |
| "first": "", |
| "middle": [], |
| "last": "\u9ec3\u5c45\u4ec1\u3001\u8521\u67cf\u751f\u3001\u6731\u6885\u6b23\u3001\u4f55\u5a49\u5982\u3001\u9ec3\uf988\u5a49", |
| "suffix": "" |
| } |
| ], |
| "year": 2003, |
| "venue": "", |
| "volume": "", |
| "issue": "", |
| "pages": "", |
| "other_ids": {}, |
| "num": null, |
| "urls": [], |
| "raw_text": "\u9ec3\u5c45\u4ec1\u3001\u8521\u67cf\u751f\u3001\u6731\u6885\u6b23\u3001\u4f55\u5a49\u5982\u3001\u9ec3\uf988\u5a49(2003)\u3002\u8a5e\u7fa9\u8207\u7fa9\u9762:\u4e2d\u6587\u8a5e\u5f59\u610f\u7fa9\u7684\u5340\u8fa8\u8207 \u64cd\u4f5c\u539f\u5247\u3002In Proceedings of the Fourth Chinese Lexical Semantics Workshop\uff0c23-25\u3002", |
| "links": null |
| } |
| }, |
| "ref_entries": { |
| "TABREF6": { |
| "content": "<table><tr><td>\u57fa\u65bc\u8fad\u5178\u8a5e\u5f59\u91cb\u7fa9\u4e4b\u591a\u968e\u5c64\u91cb\u7fa9\u95dc\uf997\u7a0b\ufa01\u8a08\uf97e-\u4ee5\u300c\u76ee\u300d\u5b57\u90e8\u70ba\uf9b5 \u8d99\u9022\u6bc5\u3001\u937e\u66c9\u82b3 37</td></tr><tr><td>\u4e4b\u5f8c\u6211\u5011\u5206\u6790\u4e2d\ufa01\u7684\u91cb\u7fa9\u95dc\uf997\u8a08\u7b97\u4e2d\uff0c\u601d\u8003\u5982\u4f55\u8655\uf9e4\u91cb\u7fa9\u8a5e\uf9e8\u8207\uf967\u540c\u6982\uf9a3\u7684\u6b0a\u91cd\u5982\u4f55\u8a02</td></tr><tr><td>\u5b9a\uff0c\u5f9e\u800c\u767c\u5c55\u51fa\u591a\u968e\u5c64\u91cb\u7fa9\u95dc\uf997\u7684\u539f\u5247\uff0c\u4e26\uf96f\u660e\u591a\u968e\u5c64\u7684\u91cb\u7fa9\u5c0d\u91cb\u7fa9\u95dc\uf997\u503c\u7684\u8b8a\u5316\u3002\u63a5</td></tr><tr><td>\u8457\u5247\u5206\u6790\u6240\u6709\u90e8\u9996\u5c6c\u300c\u76ee\u300d\u7684\u5b57\u8207\u300c\u76ee\u300d\u5b57\u4e4b\u9593\u7684\u591a\u968e\u5c64\u91cb\u7fa9\u95dc\uf997\uff0c\u4ee5\u8a6e\u91cb\u6f22\u5b57\u7fa9\u7b26\u7684</td></tr><tr><td>\u7279\u8272\u3002\u4e26\u5f9e\u9032\u4e00\u6b65\u7684\u5206\u6790\u4e2d\u5f97\u5230\u300c\u76ee\u300d\u90e8\u5b57\u96c6\u8207\u300c\ufa0a\u300d\u90e8\u5b57\u96c6\u7684\u95dc\uf997\uff0c\u4ee5\u53ca\u300c\u6559\u80b2\u90e8\u91cd</td></tr><tr><td>\u7de8\u570b\u8a9e\u8fad\u5178\u4fee\u8a02\u672c\u300d\u5167\u7684\u6587\u5b57\u91cb\u7fa9\uf9e8\uff0c\u6c92\u6709\u7279\u5225\u5c07\u5b57\u7684\uf92d\u6e90\u52a0\u5165\uff0c\uf9ba\u89e3\u591a\u968e\u5c64\u91cb\u7fa9\u95dc\uf997</td></tr><tr><td>\u5728\u5206\u6790\u6f22\u5b57\u8207\u90e8\u9996\u4e4b\u9593\u7684\u4f7f\u7528\u65b9\u5f0f\u3002\u5728\u672c\u6587\u7684\u6700\u5f8c\u6211\u5011\u53c8\u6bd4\u8f03\uf9ba\u591a\u968e\u5c64\u91cb\u7fa9\u95dc\uf997\u8207 MI</td></tr><tr><td>Value\u3001t-score \u4e4b\u9593\u7684\u5dee\uf962\uff0c\uf96f\u660e\uf9ba\u591a\u968e\u5c64 DRD \u503c\u662f\u5f9e\u6982\uf9a3\u5c64\u7d1a\u8a08\u7b97\uf978\u500b\u5b57\u8a5e\u4e4b\u9593\u7684\u4ea4</td></tr><tr><td>\u96c6\u7a0b\ufa01\u3002</td></tr><tr><td>\u672c\u6587\u6240\u4ecb\u7d39\u7684\u591a\u968e\u5c64\u91cb\u7fa9\u95dc\uf997\u96d6\u7136\u80fd\u8868\u73fe\u51fa\uf978\u500b\u5b57\u8a5e\u5171\u540c\u4f7f\u7528\u7684\u91cb\u7fa9\u5b57\u8a5e\u4ea4\u96c6\u7a0b</td></tr><tr><td>\ufa01\uff0c\u4f46\u56e0\u91cb\u7fa9\u8a5e\uf92d\u6e90\u70ba\u8fad\u5178\u4e14\u7d93\u904e\uf984\u800c\u5f97\uff0c\u56e0\u6b64\u4ecd\u7121\u6cd5\u5b8c\u5168\u8868\u9054\u8a72\u5b57\u6216\u8a5e\u7684\u5b8c\u6574\u6982\uf9a3\u6db5</td></tr><tr><td>\u610f\u3002\u6b64\u5916\u672c\u7814\u7a76\u9032\ufa08\u7684\u591a\u968e\u5c64\u91cb\u7fa9\u64f4\u5145\u50c5\u4fdd\uf9cd\u52d5\u8a5e\u8207\u540d\u8a5e\u7684\u91cb\u7fa9\uff0c\u4e14\u53d7\u9650\u65bc\u6240\u53d6\u5f97\u7684\u8fad</td></tr><tr><td>\u5178\u8a9e\uf9be\u4e2d\u90e8\u9996\u5c6c\u300c\u76ee\u300d\u7684\u5b57\u8207\u8a5e\u5f59\u3002\u96d6\u7136\u6b64\u4e00\u9650\u5236\u65bc\u64f4\u5145\u6642\uff0c\u80fd\u7dad\u6301\u300c\u76ee\u300d\u90e8\u5b57\u7684\u5b57\u7fa9</td></tr><tr><td>\u6982\uf9a3\u767c\u5c55\u65b9\u5411\u76f8\u540c\uff0c\u4f46\u4ecd\u7121\u6cd5\u5b8c\u6574\u64f4\u5145\u6240\u6709\u7684\u5b57\u8a5e\u3002\u4e26\u4e14\u5728\u8fad\u5178\u7de8\u5beb\u91cb\u7fa9\u7684\u904e\u7a0b\u4e2d\uff0c\uf974</td></tr><tr><td>\u4f5c\u8005\u6c92\u6709\u5c07\u7b26\u5408\u689d\u76ee\u7684\u6240\u6709\u6db5\u7fa9\u90fd\u7de8\u5165\u91cb\u7fa9\u4e2d\uff0c\u4f7f\u7528\u591a\u968e\u5c64\u91cb\u7fa9\u95dc\uf997\u8a08\u7b97\u4ea6\u7121\u6cd5\u5b8c\u5168\u5c07</td></tr><tr><td>\u5716 6.\u300c\u773c\u8166\u300d\u8207\u5305\u542b\u300c\u773c\u300d\u96d9\u5b57\u8a5e\u4e4b\u591a\u968e\u5c64\u91cb\u7fa9\u95dc\uf997\u3001MI Value \u8207 t-score \u6bd4\u8f03 \u8a5e\u7fa9\u7684\u6982\uf9a3\u5747\uf99c\u5165\u904b\u7b97\u3002\u7e31\u6709\u4e0a\u8ff0\u9650\u5236\uff0c\u4f46\u900f\u904e\u591a\u968e\u5c64\u91cb\u7fa9\u95dc\uf997\u8a08\u7b97\uff0c\u80fd\u5c07\u524d\u4eba\u6240\u5236\u8a02</td></tr><tr><td>\u7684\u8fad\u5178\u8f49\u63db\u6210\u70ba\u8a9e\u8a00\u8a08\u7b97\u7684\u5de5\u5177\u3002\u4e5f\u53ef\u518d\u9032\u4e00\u6b65\u8207\u5176\u5b83\u8a08\u7b97\u8a9e\u8a00\u5b78\u7684\u65b9\u6cd5\u53ca\u7db2\uf937\u5206\u6790\u539f \u5f9e\u4e0a\u8ff0\u7684 MI \u503c\u8207 t-score \u7684\u8a08\u7b97\u539f\u7fa9\uf92d\u770b\uff0c\u4e8c\u8005\u96d6\u7136\u90fd\u662f\u5340\u5206\uf978\u500b\u5b57\u8a5e\u5728\u8a9e\uf9be\u5eab\u4e4b \u4e2d\u540c\u6642\u51fa\u73fe\u7684\u983b\uf961\u7684\u6a5f\uf961\u6bd4\u8f03\uff0c\u4f46\u4e26\u975e\u662f\u5f9e\u8a5e\u7fa9\u6982\uf9a3\u7684\u89d2\ufa01\u8a08\u7b97\uf978\u500b\u5b57\u8a5e\u4e4b\u9593\u7684\u95dc\uf997\u3002 \u5247\u7d50\u5408\uff0c\u4ee5\u63a2\u8a0e\u6f22\u5b57\u5b57\u7fa9\u8207\u8a5e\u7fa9\u4e4b\u9593\u7684\u6982\uf9a3\u53ca\u91cb\u7fa9\u96c6\u7fa4\u4e2d\u7684\u8a9e\u610f\u95dc\uf997\u3002</td></tr><tr><td>\uf978\u8005\u7684\u8a08\u7b97\u539f\uf9e4\u8207\u591a\u968e\u5c64\u91cb\u7fa9\u95dc\uf997\u7684\u5171\u7528\u8a5e\u6240\u5360\u6709\u7684\u6bd4\uf961\u96d6\u7136\u76f8\u540c\uff0c\u4f46\u8a6e\u91cb\u4e0a\u537b\uf967\u540c\uff1a</td></tr><tr><td>MI \u503c\u662f\u5f9e\u8cc7\u8a0a\u71b5(information entropy)\u5340\u5206\uf978\u500b\u5b57\u8a5e\u6240\u542b\u7684\u91cb\u7fa9\u5b57\u8a5e\u662f\u5426\u6709\u5171\u540c\u8cc7\u8a0a\u71b5\uff1b</td></tr><tr><td>\u800c t-score \u5247\u662f\u5f9e\u7d71\u8a08\u4e0a\u7684\u986f\u8457\u6027\uff0c\uf92d\u5340\u5206\uf978\u500b\u8a5e\u4e4b\u9593\u7684\u5dee\uf962\u3002\u672c\u6587\u63d0\u51fa\u7684\u591a\u968e\u5c64\u91cb\u7fa9\u95dc</td></tr><tr><td>\uf997\u7684\u8a08\u7b97\u662f\u4ee5\u8fad\u5178\u5b57\u8a5e\u7684\u91cb\u7fa9\u505a\u70ba\u8a9e\uf9be\u5eab\u7684\u8a08\u7b97\u57fa\u790e\uff0c\uf967\u540c\u65bc\u904e\u53bb MI \u503c\u8207 t-score \u8a08\u7b97</td></tr><tr><td>\u4e0a\u4f7f\u7528\u6587\u672c(texts)\u70ba\u8a9e\uf9be\u5eab\u57fa\u790e\u7684\u8a08\u7b97\u3002\u591a\u968e\u5c64\u91cb\u7fa9\u95dc\uf997\u8a08\u7b97\u7684\u539f\u5247\uf967\u50c5\u53ef\u4ee5\u900f\u904e\u8a9e\uf9be\u5eab</td></tr><tr><td>\u7684\u5167\u5bb9\u9032\ufa08\u591a\u968e\u5c64\u7684\u91cb\u7fa9\u8207\u64f4\u5145\u5916\uff0c\u64f4\u5145\u7684\u5b57\u8a5e\u7684\u6982\uf9a3\u4ea6\u53ef\u5f9e\u8fad\u5178\u7684\u6536\u96c6\uf92d\u63a7\u5236\u91cb\u7fa9\u7684</td></tr><tr><td>\u6982\uf9a3\u5ef6\u4f38\u3002\u5982\u524d\u8ff0 3.2 \u900f\u904e\u540c\u5c6c\u300c\u76ee\u300d\u7684\u5b57\u8a5e\u64f4\u5c55\u5f8c\uff0c\u8a08\u7b97\u6240\u6709\u90e8\u9996\u5c6c\u300c\u76ee\u300d\u7684\u5b57\u8207\u300c\u76ee\u300d</td></tr><tr><td>\u5b57\u4e4b\u9593\u7684\u95dc\uf997\u3002</td></tr><tr><td>4. \u7d50\uf941</td></tr><tr><td>\u6f22\u8a9e\u7684\u77e5\uf9fc\u4ea4\uf9ca\u55ae\u4f4d\u70ba\u5b57\u8a5e\uff0c\u800c\u4e14\u5b57\u8a5e\u7d44\u5408\u7684\u91cb\u7fa9\u6587\u5b57\u4ea6\u6709\u77e5\uf9fc\u6982\uf9a3\u7684\u7fa9\u6db5\u3002\u672c\uf941\u6587\u8a66</td></tr><tr><td>\u5ef6\u4f38\u6982\uf9a3\u96b1\u55bb\u95dc\uf997\u8a08\u7b97\u81f3\u4e2d\u6587\u7684\u5b57\u8a5e\u91cb\u7fa9\u95dc\uf997\u8a08\u7b97\uff0c\u900f\u904e\u8fad\u5178\u5c0d\u689d\u76ee\u7684\u89e3\u91cb\uf96f\u660e\u6587\u5b57\uff0c</td></tr><tr><td>\u63d0\u51fa\u4e00\u5957\u8a08\u7b97\u8a5e\u8a9e\u91cb\u7fa9\u95dc\uf997\u7684\u539f\u5247\u3002\uf967\u540c\u65bc\u4eba\u5de5\u7684\u8a9e\u611f\u8a5e\u610f\u5206\uf9d0\u8207\u8a9e\uf9be\u5eab\u5de5\u5177\u8a08\u7b97\u65b9\u5f0f\uff0c</td></tr><tr><td>\u672c\u6587\u5c07\u8fad\u5178\u4e2d\u7684\u91cb\u7fa9\u5b57\u8a5e\u8996\u70ba\u8a08\u7b97\u57fa\u6e96\uff0c\u4e26\u9032\ufa08\u591a\u968e\u5c64\u6b21\u64f4\u5145\u4ee5\u52a0\u5f37\u91cb\u7fa9\u5b57\u8a5e\u7684\u6b0a\u91cd\uff0c</td></tr><tr><td>\u6700\u5f8c\u5728\uf967\u540c\u7684\u95dc\uf997\u7a0b\ufa01\u4e4b\u4e0b\uf96f\u660e\u5176\u96c6\u7fa4\u61c9\u7528\u8207\u8a9e\u8a00\u4e0a\u7684\u7fa9\u6db5\u3002\u672c\u6587\u5be6\u4f5c\u7684\u8a9e\uf9be\u5eab\uf92d\u6e90-</td></tr><tr><td>\u300c\u6559\u80b2\u90e8\u91cd\u7de8\u570b\u8a9e\u8fad\u5178\u4fee\u8a02\u672c\u300d\uff0c\u662f\u63d0\u4f9b\u5927\u773e\u67e5\u5c0b\u5b57\u8a5e\u7684\u5de5\u5177\u3002\u96d6\u7136\u6b64\u8fad\u5178\u81ea\u6c11\u570b\u516b\u5341</td></tr><tr><td>\u4e8c\uf98e\u7de8\u8f2f\u5b8c\u6210\u5f8c\uff0c\u5373\u5f88\u5c11\u589e\u6539\u5176\u4e2d\u5167\u5bb9\uff0c\u4f46\u5f9e\u4e2d\u53d6\u5f97\u5b57\u8a5e\u91cb\u7fa9\u8a9e\uf9be\u9032\ufa08\u8a08\u7b97\u7684\u7d50\u679c\u4ea6\u80fd</td></tr><tr><td>\u8868\u73fe\u51fa\u591a\u968e\u5c64\u91cb\u7fa9\u95dc\uf997\u8a08\u7b97\u7684\u7279\u8272\u3002\u5728\u672c\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u5011\u8a0e\uf941\uf9ba\u55ae\u4e00\u968e\u5c64\u7684\u91cb\u7fa9\u95dc\uf997\u8a08</td></tr><tr><td>\u7b97\uff0c\u5c07\u8207\u300c\u773c\u300d\u76f8\u95dc\u53ca\u5c6c\u300c\u76ee\u300d\u7684\u6240\u6709\u5b57\u8a5e\u9032\ufa08\u8a08\u7b97\u5f8c\uff0c\u7d50\u5408\u793e\u6703\u7db2\uf937\u5206\u6790\u5de5\u5177\u5206\u6790\u9ad8</td></tr><tr><td>\ufa01\u91cb\u7fa9\u95dc\uf997\u96c6\u7fa4\uff0c\uf967\u540c\u7684\u96c6\u7fa4\u6703\u4f9d\u5176\u91cb\u7fa9\u4e2d\u5171\u540c\u4f7f\u7528\u7684\u5b57\u8a5e\u9032\ufa08\u7fa4\u805a\uff0c\u5373\u540c\u7fa9\u8a5e\u7684\u7fa4\u805a\u3002</td></tr></table>", |
| "html": null, |
| "type_str": "table", |
| "num": null, |
| "text": "y)\u5247\u70ba\uf978\u500b\u8a5e\u5171\u540c\u51fa \u73fe\u7684\u6b21\uf969\uff1b\u800c N \u5247\u662f\u6240\u6709\u51fa\u73fe\u7684\u5b57\u8a5e\uf969\u3002Hunston(2002)\u6307\u51fa\uff0c\u7576 t-score \u5927\u65bc 2 \u6642\uff0c\u5247\u8996 \u6b64\u4e8c\u5b57\u5177\u986f\u8457\u95dc\u4fc2\u3002\u5728\u6b64\u6211\u5011\u5247\u4ee5\u300c\u773c\u8166\u300d\u8207\u5305\u62ec\u300c\u773c\u300d\u5b57\u96d9\u5b57\u8a5e\u7684\u95dc\uf997\u8a08\u7b97\uff0c\uf92d\u6bd4\u8f03 \u591a\u968e\u5c64\u91cb\u7fa9\u95dc\uf997\u3001MI Value \u8207 t-score \u503c\u4e09\u8005\u7684\u5dee\uf962(\u5716 6)\u3002\u5728\u5716 6 \u4e2d\uff0cy \u8ef8\u70ba\u8a08\u7b97\u6240\u5f97\u7684 \u503c\u3002\u6211\u5011\u53ef\u4ee5\u770b\u5230 MI Value \u8207 t-score \uf978\u8005\u8da8\u52e2\u662f\u8207 DRD \u503c\u76f8\u53cd\uff0c\u4e14\u90fd\u5448\u73fe\u6b63\u76f8\u95dc\u3002\u5f9e \u5b57\u7fa9\u4e0a\uf92d\u770b\uff0c\u300c\u773c\u8166\u300d\u4f7f\u7528\uf9ba\u300c\u773c\u775b\u300d\u7684\u91cb\u7fa9\uff1b\u4f46\u5728 MI Value \u8207 t-score \u503c\u4e0a\u537b\u6bd4\u300c\u773c \u8166\u300d\u8207\u300c\u773c\u87f2\u300d\u7684\u95dc\uf997\u8f03\u9ad8\uff0c\u4e5f\u5c31\u8868\u793a MI Value \u8207 t-score \u5728\u6bd4\u8f03\uf978\u5b57\u8a5e\u7684\u95dc\uf997\ufa01\u6642\u662f \uf967\u9069\u7528\u7684\u3002" |
| } |
| } |
| } |
| } |
