{ "paper_id": "O15-1020", "header": { "generated_with": "S2ORC 1.0.0", "date_generated": "2023-01-19T08:10:05.640260Z" }, "title": "", "authors": [], "year": "", "venue": null, "identifiers": {}, "abstract": "This paper is rooted in the two principles and methods that should be followed by sense discrimination for Chinese language processing: Completeness and discreteness. Built on the comparison of Semantic Knowledge-base of Contemporary Chinese (SKCC) and Grammatical Knowledge base of Contemporary Chinese (GKB), supported by large scale corpus, we conducted our new editing and checking works. Firstly, we designed a novel multi-sense lexicon candidate abstraction algorithm based on lexicon comparison between SKCC and GKB. For all 1605 candidate multi-sense lexicon, we conducted editing work on the senses, explanation, and its translation Then, we built a tree structure to process a special food and plant lexicon. Thirdly, a mapping platform between SKCC and GKB has been built to help us built mapping relationships between multi-sense lexical between SKCC and GKB. Finally, we finished mapping work for all multi-sense lexicon in SKCC.", "pdf_parse": { "paper_id": "O15-1020", "_pdf_hash": "", "abstract": [ { "text": "This paper is rooted in the two principles and methods that should be followed by sense discrimination for Chinese language processing: Completeness and discreteness. Built on the comparison of Semantic Knowledge-base of Contemporary Chinese (SKCC) and Grammatical Knowledge base of Contemporary Chinese (GKB), supported by large scale corpus, we conducted our new editing and checking works. Firstly, we designed a novel multi-sense lexicon candidate abstraction algorithm based on lexicon comparison between SKCC and GKB. For all 1605 candidate multi-sense lexicon, we conducted editing work on the senses, explanation, and its translation Then, we built a tree structure to process a special food and plant lexicon. Thirdly, a mapping platform between SKCC and GKB has been built to help us built mapping relationships between multi-sense lexical between SKCC and GKB. Finally, we finished mapping work for all multi-sense lexicon in SKCC.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "Abstract", "sec_num": null } ], "body_text": [ { "text": "SKCC \u6570\u636e \u4e2d \"\u8bcd\u8bed\" \"\u8bcd\u7c7b\" \"\u4e49 \" \" \u5f62 \"\u5b57\u6bb5 \u4f9b\u4e86\u8bcd \u7684\u552f \u6807\u8bc6 \uff0c\u5728 GKB \u6570\u636e \u4e2d\uff0c \"\u8bcd\u8bed\" \"\u8bcd\u7c7b\" \" \u5f62 \"\u7b49\u5b57\u6bb5\u4e5f\u80fd \u591f\u4f5c \u552f \u6807\u8bc6 \u7531\u4e8e \u6bcf\u6b21\u67e5\u8be2\u7ed3\u679c\u7684 \u5e8f\u90fd \u662f\u53d8 \u7684\uff0c\u56e0 \u5728\u5b58\u50a8 \u6620\u5c04\u7ed3\u679c \u65f6\uff0c\u672c\u6587\u9009\u62e9 \u90e8\u8bcd \u7684\u552f \u6807\u8bc6\u8fdb\u884c\u5b58\u50a8 \u5728\u5efa\u7acb\u6620\u5c04\u5173\u7cfb\u65f6\uff0c \u4e86\u51cf\u8f7b\u4eba\u5de5 \u6620\u5c04\u7684\u5de5\u4f5c\u91cf\uff0c \u5c06 \u67e5\u8be2\u7ed3\u679c\u8fdb\u884c\u7f16 \uff0c\u6620\u5c04\u65f6\u53ea\u9700\u8981\u8fdb\u884c\u7f16 \u7684\u586b\u5199 \u586b\u5199 \u5b8c \uff0c\u5411\u670d \u5668\u7aef \u4ea4\u6620\u5c04\u7ed3\u679c \uff0c\u670d \u5668\u7aef \u636e\u7f16 \u5c06\u5bf9 \u6807\u8bc6\u5b58\u50a8\u5230\u6570\u636e \u4e2d\uff0c\u5b58\u50a8\u7ed3\u679c\u5982\u8868\u56db\u6240\u793a \u8868\u56db\uff1a\u6620\u5c04\u5173\u7cfb\u5728\u6570\u636e\u5e93\u4e2d\u5b58\u50a8\u7ed3\u679c \u5728\u8868\u56db\u4e2d\uff0c\"id\"\u5c5e\u6027 \u6570\u636e \u81ea\u52a8\u521b\u5efa\uff0c\"word\"\u8868\u793a\u591a\u4e49\u8bcd\u8bed\uff0c\"sem_tag\" \"sem_no\"\u548c\"sem_tongxing\"\u5206\u522b\u8868\u793a SKCC \u4e2d\u8bcd\u8bed\u7684\u8bcd\u7c7b \u4e49 \u5f62\u6807 \uff0c \u4e2a\u5c5e\u6027\u4fe1\u606f \"word\"\u80fd\u591f\u5728 SKCC \u4e2d\u552f \u6807\u8bc6 \u4e2a\u8bcd \uff0c\u800c \"gkb_tag\" \"gkb_tongxing\"\u8868\u793a GKB \u4e2d\u8bcd\u8bed\u7684\u8bcd\u7c7b \u5f62\u6807 \uff0c\u5728 GKB \u4e2d \u4e2a\u5c5e\u6027 \"word\"\u80fd\u591f\u552f \u6807\u8bc6 \u4e2a\u8bcd \uff0c \u4fbf\u7ec4 \u4e86 \u6761\u6620\u5c04\u5173\u7cfb ", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "", "sec_num": null } ], "back_matter": [], "bib_entries": { "BIBREF4": { "ref_id": "b4", "title": "\u4eac\u4fe1 \u606f\u79d1\u6280\u5927\u5b66\u5b66\u62a5", "authors": [ { "first": "\u949f\u9f0e", "middle": [], "last": "\u5f20\u4ef0\u68ee", "suffix": "" }, { "first": "", "middle": [], "last": "Skcc \u7edf \u76f8\u7ed3\u5408\u7684 \u8bcd\u8bed\u76f8\u4f3c\u5ea6", "suffix": "" }, { "first": "", "middle": [], "last": "\u7b97\u65b9\u6cd5", "suffix": "" } ], "year": 2012, "venue": "", "volume": "27", "issue": "", "pages": "8--12", "other_ids": {}, "num": null, "urls": [], "raw_text": "\u5f20\u4ef0\u68ee,\u949f\u9f0e. \u57fa\u4e8e SKCC \u7edf \u76f8\u7ed3\u5408\u7684 \u8bcd\u8bed\u76f8\u4f3c\u5ea6 \u7b97\u65b9\u6cd5 [J]. \u4eac\u4fe1 \u606f\u79d1\u6280\u5927\u5b66\u5b66\u62a5, 2012,27(6): 8-12", "links": null }, "BIBREF10": { "ref_id": "b10", "title": "\u4eac :\u5546 \u5370\u4e66 \u9986", "authors": [ { "first": "\u58f0\u6811", "middle": [], "last": "\u5415\u53d4\u6e58", "suffix": "" }, { "first": "\u6c5f\u84dd\u751f\u7b49", "middle": [ "\u4ee3" ], "last": "\u6c49\u8bed\u8bcd \u7b2c", "suffix": "" } ], "year": 2012, "venue": "", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "\u5415\u53d4\u6e58, \u58f0\u6811 ,\u6c5f\u84dd\u751f\u7b49. \u4ee3 \u6c49\u8bed\u8bcd \u7b2c \u7248 [M]. \u4eac :\u5546 \u5370\u4e66 \u9986,2012.", "links": null }, "BIBREF11": { "ref_id": "b11", "title": "Consistent criteria for sense distinctions", "authors": [ { "first": "M", "middle": [], "last": "Palmer", "suffix": "" } ], "year": 1997, "venue": "Computers and the Humanities", "volume": "31", "issue": "", "pages": "91--113", "other_ids": {}, "num": null, "urls": [], "raw_text": "Palmer, M. 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\u5212\u5206\u662f SKCC \u7f16\u5236\u7684 \u5fc3\u95ee \uff0c\u4e5f\u662f\u8bcd\u4e49\u6d88\u6b67\u7b49\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4efb \u7684\u57fa\u7840 \u6027\u5de5\u4f5c Palmer 2001 [9]\u6307\u51fa\u81ea\u7136\u8bed\u8a00\u5904\u7406\u6280\u672f\u7684\u74f6\u9888\u4e4b \u5728 \u4e8e \u7b97\u673a \u786e \u8fa8\u6790\u8bcd\u4e49 \u5434\u4e91\u82b3 \u58eb\u6c76 2006 [4] \u51fa\u4e86\u4f5c \u81ea\u7136\u8bed\u8a00\u5904\u7406\u4efb \u7684\u591a\u4e49\u8bcd \u8bcd\u4e49\u5212\u5206\u7684 \u4e2a\u539f\u5219 (1) \u822c\u9650\u5b9a \u8bcd\u7c7b \u7684\u591a\u4e49\u8bcd\u800c \u5305\u62ec\u8de8\u8bcd\u7c7b\u7684\u591a\u4e49 \u8c61 (2) \u5c06 \u5f62\u5f02\u4e49\u8bcd\u548c\u8bcd\u8bed\u7684 \u4e49 \u5728 \u4e2a \u9762 \u8003\u5bdf\u800c \u8ffd\u6c42 \u5f62\u548c\u591a \u4e49\u7684 \u683c\u533a\u5206 \u57fa\u4e8e \u4e2a\u539f\u5219 \uff0c \u51fa\u4e86 \"\u5b8c\u5907\u6027\"\u548c\"\u79bb\u6563\u6027\"\u7684\u8981\u6c42\uff0c\u5e76 \u51fa \u57fa\u4e8e\u8bed\u6599 \u5b9e\u8bc1\u8fdb \u884c\u8bcd\u8bed\u4e49 \u7c92\u5ea6\u5212\u5206\u7684\u51c6\u5219 \"\u5b8c\u5907\u6027\"\u7684\u8981\u6c42 \u636e\u8bcd \u8bed\u7684\u4e49 \u533a\u5206 \uff0c\u64cd\u4f5c\u8005 \u4ee5 \u5229\u5bf9\u8bed\u6599\u4e2d\u7684\u6bcf \u4e2a\u76ee\u6807\u8bcd \u6807\u6ce8\u51fa\u4e49 SKCC \u4e2d\u90e8\u5206\u8bcd\u6761 \u7b26\u5408 \"\u5b8c\u5907\u6027\"\u7684\u8981\u6c42\uff0c\u4f8b\u5982 SKCC \u5bf9\"\u5927\u5c0f\"\u533a \u5206\u4e86 \u4e2a\u4e49 \u7684\u65b9\u6cd5\u4f1a\u8017\u8d39\u5927\u91cf\u7684\u4eba\u529b\u7269\u529b\uff0c\u800c \u5728\u603b \u4e2d\u7684\u4fee\u6539\u96be\u4ee5 \u6620\u5230\u5404\u4e2a\u5206 \u4e2d \u4e86 \u5f71\u54cd\u603b \u548c\u5b50 \u7684 \u6027 \uff0c\u5e76\u4f7f\u5bf9\u603b \u7684\u4fee\u6539 \u6620\u5230\u5b50 \uff0c\u672c\u6587\u5c06\u5404\u4e2a\u5b50 \u96c6 \u5230\u603b \u4e2d\uff0c\u96c6 \u7684\u603b \u5b57\u6bb5\u662f\u96c6 \u524d\u5404\u5b50 \u5b57\u6bb5\u7684\u5e76\u96c6\uff0c\u5305\u62ec 21 \u4e2a\u5b57 \u6bb5 \u8868 \u96c6 \u5de5\u4f5c\u5b8c \u6240 \u7684\u5bf9 \u4fee\u6539\u5de5\u4f5c\u90fd \u4ee5\u5728\u603b \u4e2d\u8fdb\u884c \u5e8f\u53f7 \u5b57\u6bb5 \u957f\u5ea6 1 \u8bcd\u8bed 8 \u6536\u5f55 1~4 \u4e2a\u5b57\u7684\u8bcd\u8bed (2) \u8bcd\uff0c\u5bf9\u5e1d\u738b\u7684\u4ee3 \u79f0 \u636e\u4f8b \u7684\u7ffb\u8bd1 \uff0c'\u6e05\u6d41'\u7684\u7b2c \u4e2a\u4e49 \u5bf9 'virtuous scholars'\uff0c\u5b57\u9762\u7ffb\u8bd1 ' \u6784 \u5907\u6ce8 \u5c71\u9675 (1) \u8bcd\uff0c\u5c71\u5ddd\u4e18\u9675\u7b49 \u5730\u8c8c \u5efa\u7684\u5b50 \u4e2d \uff0c\u7528\"\u8bcd\u8bed\" \" \u5f62 \" \"\u8bcd\u7c7b\"\u8fdb\u884c\u94fe\u63a5\uff0c\u6784 \u6240\u793a\u7684\u6811\u5f62\u7ed3 \u82f1\u6587\u4f8b They are all famous virtuous scholars of the Ming Dynasty. \u8868\u4e00\uff1a\u96c6\u6210 \u603b \u5b57\u6bb5 \u8a00\u5730\u533a\u7684\u8bcd\u6c47\u4e49 \uff0c\u672c\u6587\u5728 \u4e2a \u4eba\u6c11\u65e5\u62a5\u8bed\u6599 \u548c \u4eac\u5927 \u5b66 CCL \u4ee3\u6c49\u8bed\u8bed \u6599 \u4e2d\u8fdb\u884c\u67e5\u627e \uff0c\u67e5\u5f97 \u4e49 \u786e\u7cfb\u672a\u51fa \u5728 \u8ff0\u8bed\u6599 \u4e2d\u6216\u867d\u7136\u51fa \u4f46\u57fa\u672c \u7528 \u4ee3\u6587\u732e\u7528\u6cd5\u7684\uff0c\u672c\u6587\u5728 SKCC \u4e2d\u7684\"\u5907\u6ce8\"\u5b57\u6bb5\u6dfb \u5907\u6ce8\u8bf4\u660e \u5982 \u4e2d\uff0c\"\u5c71\u9675\"\u5171 \u4ee5 3 \u4e2a\u4e49 \u6784 \u5728\u603b \u4e2d\u5c06\u4e49 1 \u548c\u4e49 2 \u8fdb\u884c\u5408\u5e76\uff0c\u7136 \u5c06\u539f \u7684\u4e49 1 \u548c\u4e49 2 \u5b58\u50a8\u5728 \u4e2d\u6587\u4f8b \u4ed6\u4eec\u90fd\u662f\u660e\u671d\u8457 \u7684\u6e05\u6d41 1 \u7684\u5916\u5ef6\u4e4b\u4e2d \u5bf9\u4e8e \u7c7b\u8bcd\u8bed\uff0c \u4eec\u5728\u6821 \u8fc7\u7a0b\u4e2d\u5efa\u7acb\u4e86 \u7c7b\u8bcd\u7684\u6811\u5f62\u4e49 \u7ed3 SKCC \u4e2d\u4e49 1 \u548c\u4e49 2 \u662f\u4f5c\u7269 \u548c\u679c\u5b9e \u98df\u7269 \u7684\u533a\u5206\uff0c\u4e49 2 \u7684\u5916\u5ef6\u8574\u542b\u5728\u4e49 \u884c\u4f8b \u5f15 (3) \u8bcd\uff0c\u82f9\u679c \u7684 \u7b2c \u4e2a\u4e49 \u662f'\u6e05\u6d41'\u7684 \u55bb\u4e49\uff0c\u5728 \u67ef \u6797 \u9ad8\u9636\u82f1\u6c49 \u89e3\u8bcd \u4e2d \u4ee5 \u7535\u5b50\u4ea7\u54c1\u7684\u603b\u79f0 (3) \u6d88\u6b67\u5904\u7406\u7684\u5bf9\u8c61 \u8981\u662f\u8bcd\u6c47\u4e49\u800c \u662f\u5728\u8bcd\u8bed\u6216\u56fa\u5b9a\u7ec4\u5408\u4e2d\u51fa \u7684\u8bed\u7d20\u4e49 \"\u79bb\u6563\u6027\"\u662f\u6307\u610f\u4e49\u5206\u6790\u7cfb\u7edf\u4e2d \u4e49 \u7684\u5185\u6db5 \u91cd\u5408 \uff0cSKCC \u4e2d \u90e8 \u5206\u8bcd\u4e49 \u4e4b \u95f4\u5b58\u5728\u7740\u4e49 \u91cd\u5408\u751a \u8574\u542b\u7684 \u8c61\uff0c\u4f8b\u5982 SKCC \u4e2d\u5bf9\"\u9a7e\u9a76\"\u533a\u5206\u4e86\u56db\u4e2a\u4e49 \u9a7e\u9a76 (1) \u64cd\u7eb5 \u8f7d\u5de5 (2) \u64cd\u7eb5\u8f66 \u8239\u7b49 \u8f7d \u5de5 \u884c\u9a76 (3) \u64cd\u4f5c \u4ed6\u5de5 \u4f5c\u4e1a (4) \u64cd\u7eb5\u822a\u7a7a\u5668 \u56db\u4e2a\u4e49 \u4e2d \uff0c\u4e49 2 3 4 \u4ec5\u91ca\u4e49 \u4ee5\u5305\u542b\u5728\u4e49 1 \u4e2d \uff0c\u5728 \u6587 \u5883 \u4e2d \u4f53 \u4f53\u8bba\u5143\u89d2\u8272\u548c\u8bed\u4e49\u7c7b \u4e5f\u5b8c\u5168 \u9664\u4e86\"\u5b8c\u5907\u6027\"\u548c\"\u79bb\u6563\u6027\"\u7684\u8981\u6c42\u5916\uff0c\u8bcd \u5212\u5206 \u7c92\u5ea6 \u662f SKCC \u4e2d\u7684 \u95ee \uff0c Ide(1998) \u6307\u51fa\uff0c\u4f20\u7edf\u8f9e\u4e66\u4e2d\u7684\u4e49 \u5212\u5206\u8fc7\u4e8e\u7ec6\u5fae\uff0c \u5bf9 \u4e9b\u4e49 \u8fdb\u884c \u5e76[10]\uff0c\u5bf9\u4e8e \u5e76\u7684 \u7c92\u5ea6\uff0c \u57fa\u4e8e\u8bed\u6599 \u5b9e\u8bc1\u5e76 \u6301\u8bcd \u5185\u90e8\u7684 \u6027 \u7136 \u800c\uff0c\u5728 SKCC \u4e2d\u90e8\u5206\u8bcd\u6761\u4e4b\u95f4 \u7c92\u5ea6\u5212\u5206\u5b58\u5728 \uff0c\u4f8b\u5982\uff0c \u8bed\u4e49\u7c7b \u4f7f\u7528\u9886 \u57df\u548c\u8054\u7cfb\u7684\u8c13\u8bcd\u6765\u533a\u5206\uff0c\u5355\u97f3\u8282\u8bcd\" \"\u5728 \u4ee3 \u6c49\u8bed\u4e2d 3 \u4e2a\u4e49 (1) \u7269\u7684\u5173\u952e\u90e8\u5206 (2) \u751f\u7269\u5b66\u5206\u7c7b\u7684 \u79cd \u7c7b\u522b (3) \u7edf\u6cbb\u8005\u8ba4 \u7ef4\u6301 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\uff0c\u7528\u9010 \u9605\u5bf9 9 \u8bed\u4e49\u7c7b \u8be5\u8bcd\u8bed\u7684\u8bed\u4e49\u7c7b\u522b \u79f0 10 WORD \u8be5\u8bcd\u8bed\u5bf9 \u7684\u82f1\u8bed\u8bd1\u8bcd\u6216\u77ed\u8bed 11 Ecat \u8be5\u8bcd\u8bed\u7684\u82f1\u8bed\u8bd1\u8bcd\u7684\u8bcd\u6027\u4ee3\u7801\uff0c\u6216\u77ed\u8bed\u7ec4\u6210\u7ed3\u6784 12 \u5907\u6ce8 \u586b\u5199\u8bcd\u8bed\u7528\u6cd5\u7684\u7b80\u660e\u8bf4\u660e(\u4ec5\u7528\u4e0e \u6c49\u8bed\u6807\u6ce8\u586b\u5199'G',\u4ec5\u7528\u4e8e\u65b9\u8a00\u6807\u6ce8\u586b\u5199'F') 13 \u914d\u4ef7\u6570 2 \u52a8\u8bcd \u8bf4\u660e\u4e00\u4e2a\u52a8\u8bcd\u80fd\u652f\u914d\u591a\u5c11 \u8bcd\u6027\u6210\u5206/ \u8bcd \u8981\u6c42\u4e0e\u4e4b\u5171\u73b0\u7684\u4ece\u5c5e \u8bcd\u4e2a\u6570/ \u5f62\u5bb9\u8bcd \u8981\u6c42\u4e0e\u4e4b\u5171\u73b0\u7684 \u8bcd\u6027\u6210\u5206\u4e2a\u6570 14 \u4f8b \u7b80\u8981\u63d0\u51fa\u51e0\u4e2a\u8be5\u4e49\u9879\u7684\u793a\u4f8b 15 \u4e3b\u4f53 \u52a8\u4f5c\u4e3b\u4f53\u6240\u5c5e\u7684\u8bed\u4e49\u7c7b 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\u6761 \u542b \"\u53c2 \"\u7684 \u5f55\u4e2d\uff0c 18 \u6761\u662f\u4e49 1 \u7684\u7528\u6cd5\uff0c\u56e0 \u4eec\u5c06\u4e49 1 \u548c 2 \u8fdb\u884c\u5408 \u5e76 \u4e49\u7684\u586b\u5145\u4ee5\u8bed\u4e49\u7c7b\u548c\u5b50\u8868\u4e2d\u7684\u76f8\u5173\u5b57\u6bb5\u4f5c \u9009\u62e9\u5bf9 \u91ca\u4e49\u7684\u5224\u65ad\u4f9d\u636e \uff0c\u53c2\u8003 \u4ee3 \u6c49\u8bed\u8bcd \u4e2d\u5bf9 \u7684\u91ca\u4e49 \uff0c\u5e76\u7ed3\u5408 \u4e49 \u5728 \u8bcd\u8bed\u67e5\u8be2 \u6d4f\u89c8\u5668\u8f93\u5165\u5f85\u6620\u5c04\u8bcd\u8bed\u5e76\u53d1\u9001\u7ed9\u670d \u5668\u7aef\uff0c\u670d \u5668\u7aef\u901a \u8fc7 SQL \u67e5\u8be2 \u6587\u642d\u914d\u4e2d \u7684 \u6cd5\u7279\u5f81\u586b\u5199 \u7684\u91ca \u8bed \u8bcd \u6570\u636e \u4e2d\u67e5\u627e\uff0c\u8fd4\u56de\u67e5\u8be2\u7ed3\u679c\uff0c\u663e\u793a\u5230\u6d4f\u89c8\u5668\u4e2d \u5bf9\u4e8e GKB \u7684\u67e5\u8be2 \u4e49 \u4f8b\u5982 \u591a\u4e49\u8bcd\"\u5730\u9053\"\u5728\u539f SKCC \u4e2d 3 \u4e2a\u4e49 \uff0c\u91ca\u4e49\u5747\u672a\u586b\u5199\uff0c\u4f46\u662f SKCC \u4e2d\u7ed9\u51fa\u4e86\u6bcf\u4e2a\u4e49 \u7684\u8bed\u4e49\u7c7b\uff0c \u4eec \u636e\u8bed\u4e49\u7c7b\u5224\u65ad\u51fa\u4e49 \u7531\u4e8e\u5206 \u7684\u5b58\u5728\u9700\u8981 \u5165\u989d\u5916\u7684\u67e5\u8be2 \u9aa4 \u670d \u5668\u63a5\u6536\u5230\u67e5\u8be2\u8bcd\u8bed\u65f6 \uff0c\u9996\u5148\u9700\u8981 3 \u8bed\u4e49\u7c7b \u5efa\u7b51\u7269 \u5728 \u4ee3\u6c49\u8bed\u8bcd \u5148 GKB \u603b \u4e2d\u627e\u51fa \u6240\u67e5\u8bcd\u8bed\u7684\u6240 \u8bcd\u6027 \u7136 \uff0c \u636e\u8bcd\u7c7b\u5206\u522b \u5bf9 \u5206 \u4e2d \u4e2d\u89e3\u91ca \"\u5730 \u7684\u9053\u8def\u6216\u5751\u9053 \" \u4e49 1 \u548c\u4e49 2 \u7684\u8bed\u4e49\u7c7b\u90fd \u662f\"\u6027\u8d28\"\uff0c\u4f46\u662f \u4eec \u67e5\u627e\u76f8 \u8bcd\u8bed\u4fe1\u606f \u5c06\u5404\u5206 \u7ed3\u679c\u6c47\u603b \u8fd4\u56de\u7ed9\u6d4f\u89c8\u5668\u7aef\u8fdb\u884c\u663e\u793a \u4ee5\u901a\u8fc7\u82f1\u6587\u7ffb\u8bd1 WORD \u5b57\u6bb5 \u5f97\u77e5\uff0c\u4e49 1 \u5bf9 \"\u6280\u80fd\ufe51 \u5de5\u4f5c\u6216\u6750\u6599\u7684\u8d28\u91cf\u591f\u6807\u51c6 \u4ee5\u91cd\u53e0 \uff0c \u8bed\u662f\u6280\u80fd\u6216\u7269\u4f53 \"\uff0c\u4e49 2 \u89e3\u91ca \u4eba\u5408\u4e4e \u5b9a\u7684\u9053\u5fb7\u89c4 \u8303 \u91cd\u53e0\uff0c \u8bed\u662f\u4eba\u6216\u884c \u7b49 \" \" \u5efa\u7acb \u5b58\u50a8\u6620\u5c04\u5173\u7cfb
\u3001\u5f15\u8a00 \u4ee3\u6c49\u8bed\u8bed\u4e49\u8bcd \u7b80\u79f0 SKCC \u662f \u4e2a \u9762\u5411\u6c49\u82f1\u673a\u5668\u7ffb\u8bd1\u7684\u5927\u89c4\u6a21\u6c49\u8bed\u8bed\u4e49\u77e5\u8bc6 \uff0c\u76ee\u7684\u662f\u5728\u8bed Semantic Knowledge-base of Contemporary Chinese\uff0c\u4ee5 \u6cd5\u5206\u6790\u7684\u57fa\u7840 \uff0c\u7ed9\u81ea\u7136\u8bed\u8a00\u5904\u7406 \u4f9b\u66f4 \u5168\u9762 \u6df1\u5165\u7684\u8bed\u4e49\u4fe1\u606f [1]\u4f5c \u5bb6 \u79d1 \u6280 \u8fdb \u7b49\u5956 \u83b7\u5f97 \u76ee \" \u7efc \u5408 \u578b \u8bed\u8a00\u77e5 \u8bc6 Comprehensive Language \u5927\u5c0f (1) \u91cf \u5c5e\u6027\uff0c\u7269\u4f53\u7684 \u5927\u5c0f (2) \u8eab\u4efd\uff0c\u5927\u4eba\u548c\u5c0f\u5b69 \u4f46 \u9047\u5230 \u4eba\u6c11\u65e5\u62a5 \u8bed\u6599 \u4e2d \u5217\u8bcd\u7ec4\u65f6 \uff0c \u8ff0 2 \u4e2a\u4e49 \u663e\u7136\u65e0\u6cd5 \u4e4b\u5bf9 \u5927\u5c0f\u9886 /\u5927\u5c0f\u9886 /\u6ca1\u5927\u5c0f \u5c31\u9700\u8981\u6dfb \u4e2a\u4e49 \u8868\u8ff0\u5173\u7cfb\u7c7b\u7684\"\u5927\u5c0f\"\uff0c\u91ca\u4e49 \"\u8868\u793a\u5173\u7cfb\u7684\u5c0a\u5351\u6216\u957f\u5e7c\" 2 \u62fc\u97f3 24 \u6bcf\u4e2a\u8bcd\u8bed\u7684\u6c49\u8bed\u62fc\u97f3 3 \u8bcd\u7c7b 2 \u8bcd\u8bed\u6240\u5c5e\u8bcd\u7c7b\u7684\u4ee3 4 \u5b50\u7c7b 2 \u8bcd\u8bed\u6240\u5c5e\u8bcd\u7c7b\u7684\u5b50\u7c7b\u4ee3\u7801 5 \u5f62 2 \u9488\u5bf9\u7c97\u7c92\u5ea6\u7684\u8bcd\u4e49\u6d88\u6b67\u4efb \uff0c \u4eec \u4ee5\u76f4\u63a5\u8c03\u7528\u603b \u4e2d\u7684 \u4e2a \u5f62\u8bcd \uff0c\u533a\u5206\u4f5c \u5fb7\u884c\u7684\u58eb\u5927\u592b' \uff0c \u91ca\u4e49\u57fa\u672c\u5bf9 \uff0c\u88ab\u9009 \u5bf9 \u7ffb\u8bd1 (3) \u8bcd\uff0c\u6307\u5e1d\u738b\u7684\u9675 \u5893 GKB \u4e2d\u5bf9\"\u5c71\u9675\"\u53ea\u6536\u5f55\u4e86\u7b2c \u4e2a\u4e49 \uff0c\u5728 \u4e2a \u4eba\u6c11 \u65e5\u62a5\u8bed\u6599 \u4e2d \u4e2a\u4e49 \u5747 \u690d\u7269\u6216\u98df\u7269\u7684\u82f9\u679c\u548c\u4f5c \u7535\u5b50\u4ea7\u54c1\u7684 \"\u82f9\u679c\"\uff0c\u5bf9\u4e8e\u8fdb \u8981\u6c42\u533a\u5206\u4f5c \u690d\u7269\u7684 \u4e2d\u7684 \u4e2a\u4e49 \u8fdb\u884c\u8fdb \u533a\u5206 \u4e94 SKCC \u548c GKB \u6620\u5c04 \u7684\u5f00\u53d1\u548c\u591a\u4e49\u8bcd\u6620\u5c04\u5de5\u4f5c \"\u82f9\u679c\"\u548c\u4f5c \u679c\u5b9e\u7684 \"\u82f9\u679c\"\uff0c \u4eec \u4ee5\u4f7f\u7528\u5206 \u672a\u51fa \uff0c\u5728 CCL \u4ee3 \u6c49\u8bed\u8bed\u6599 \u4e2d \"\u5c71\u9675\" \u4e2a\u4e49 \u5171\u51fa 32 \u6b21\uff0c \u4e2d\u4e49 1 \u51fa \u672c\u6587\u5171 \u5bf9 152 \u4e2a\u4f5c\u7269 /\u98df\u7269 \u679c\u5b9e \u7c7b\u591a\u4e49\u8bcd\u5efa\u7acb\u4e86\u5982 \u7684\u6811\u5f62\u7ed3\u6784 \u8bcd\u8bed\u7684 \u5f62\u8bcd 6 \u517c\u7c7b 4 \u8be5\u8bcd\u8bed\u517c\u5c5e\u7684\u8bcd\u7c7b\u4ee3\u7801 7 \u4e49\u9879 2 \u5bf9\" \u5f62\"\u5b57\u6bb5\u76f8 \u7684\u8bcd\u6761\u8fdb\u4e00\u6b65\u52a0\u4ee5\u533a\u5206 8 \u91ca\u4e49 10 \u8be5\u8bcd\u8bed\u7684\u7b80\u660e\u91ca\u4e49 5 \u6b21\uff0c\u4e49 2 \u548c 3 \u5171 \u51fa \u4e86\u5bf9\u6240 \u4fee\u6539\u7ed3\u679c\u7edf \u7ba1\u7406 \uff0c\u5e76 \u6ee1\u8db3\u65e5 \u591a\u4eba \u65f6\u64cd\u4f5c\u4fee\u6539\u8bcd \u7684\u9700\u8981 \uff0c\u672c 27 \u6b21\uff0c\u4e49 2 \u548c 3 \u5168\u90e8 \u4ee3\u4eba\u5728\u8c08\u8bdd\u6216\u6587\u7ae0\u4e2d \u5f15\u7528 \u7c4d \u56e0 \uff0c \u4eec\u5728\u4fee\u6539 \u56db \u4fee\u6539\u91ca\u4e49 \u793a\u4f8b\u548c\u7ffb\u8bd1 \u6587\u5728\u535e \u5cf0 2015 [17]\u7684\u57fa\u7840 \u5efa\u7acb\u4e86 SKCC \u548c GKB \u7684\u6620\u5c04 \u80fd SKCC \u4e2d\u5bf9\u539f \u7684\u7b2c \u4e2a\u4e49 \u4e88\u4ee5 \u7559\uff0c\u5728\u4e49 2 3 \u6dfb \u4e86\u8868\u793a \u4e49 \u4ec5\u7528\u4e8e \u4ee3\u6c49\u8bed\u7684\u5907\u6ce8 \u5bf9\u4e8e\u90e8\u5206\u5e38\u7528\u4e8e \u4ee3\u6c49\u8bed \uff0c \u5728\u57fa\u4e8e\u8bed\u6599\u7684\u8bcd\u4e49\u8fa8\u6790\u6a21\u578b\u4e2d\uff0c\u4f9d\u636e\u8bed\u6599\u4e2d\u7684\u8bcd\u8bed \u5217\u8fdb\u884c\u4e49 \u662f\u91cd\u70b9\u548c \u591f\u81ea\u52a8\u67e5\u627e\u5f85\u6620\u5c04\u8bcd\u8bed\u5728 \u90e8\u8bcd \u4e2d\u7684\u8bcd\u4e49\u89e3\u91ca \uff0c \u9700 \u8981\u4eba\u5de5\u9010\u4e2a\u67e5\u627e \u540c\u65f6\uff0c
", "type_str": "table" }, "TABREF1": { "html": null, "num": null, "text": "\u8bcd\uff0c\u804c\u4e1a \u4e2d\uff0c GKB \u4e2d\"\u7ffb\u8bd1\"\u7684\u7b2c \u4e2a\u4e49 \u548c SKCC \u4e2d\u4e49 1 \u8bcd\u6027\u5bf9 \uff0c \u636e\u8bcd\u6027 \u5efa\u7acb \u8d77 SKCC \u4e2d\u4e49 1 \u548c GKB \u4e2d\u4e49 1 \u7684\u6620\u5c04\uff0c \u636e\u8bcd\u6027\u548c\u793a\u4f8b SKCC \u4e2d\u4e49 2 \u5219 \u5bf9 GKB \u4e2d\u4e49 2\uff0cSKCC \u4e2d\u4e49 3 \u5728 GKB \u4e2d\u6ca1 \u5bf9 \u4e49 \uff0c\u6620\u5c04\u7ed3\u679c\u5982\u8868\u4e94 \u6240\u793a \u56fe\u56db\uff1a\u6620\u5c04\u5e73\u53f0\u5de5\u4f5c\u6d41\u7a0b\u56fe \u8868\u4e94: \u591a\u4e49\u8bcd\"\u7ffb\u8bd1\"\u7684\u6620\u5c04\u7ed3\u679c \u603b\u7ed3 \u5c55\u671b \u672c\u6587\u4f9d\u636e SKCC \u548c GKB \u7684\u8bcd \u5bf9 \uff0c\u4ee5\u8bed\u6599 \u4f9d\u6258\u5e76\u7ed3\u5408 \u4ee3\u6c49\u8bed\u8bcd \u4e49\u8bcd\u8bcd\u6797 \u548c \u4ee3\u6c49\u8bed\u642d\u914d\u8bcd\u8bcd \u7b49\u8bcd \u8d44\u6e90 \uff0c\u5b8c \u4e86\u5bf9 1605 \u4e2a SKCC \u591a\u4e49\u8bcd\u8bcd\u6761\u7684\u6821 \u548c 3282 \u4e2a\u591a\u4e49\u8bcd\u7684\u6620\u5c04\u5de5\u4f5c \u4f9d\u636e \"\u5b8c\u5907\u6027\"\u548c\"\u79bb\u6563\u6027\"\u539f \u5219\uff0c\u5bf9 SKCC \u548c GKB \u4e49 \u7684\u8bcd \u8fdb\u884c\u4e86 \u548c\u6821 \uff0c\u5e76\u9488\u5bf9 \u7c7b\u7279\u6b8a\u7684 \"\u98df\u7269+\u4f5c\u7269 \u690d \u7269 \"\u7c7b\u591a\u4e49\u8bcd\u5efa\u7acb\u4e86 \u5c42 \u4e49 \u7684\u6811 \u5f62\u7ed3\u6784\u4ee5\u6ee1\u8db3 \u7c92\u5ea6 \u7684\u8bcd \u4e49\u6d88\u6b67\u4efb \u8981\u6c42 \u65b9 \u4fbf \u7eed\u7684\u4fee\u6539\u5de5\u4f5c \uff0c\u672c\u6587\u5f00\u53d1\u4e86 SKCC \u548c GKB \u6620\u5c04 \uff0c \u5728\u6620\u5c04 \u7684\u57fa\u7840 \u8fdb\u884c\u4e86\u591a\u4e49\u8bcd\u6620\u5c04\u5de5\u4f5c \u672c\u6587\u7684\u5de5\u4f5c\u4ec5\u9650\u4e8e\u5728\u539f \u8bed\u4e49\u8bcd \u7684\u6846\u67b6 \u8fdb\u884c\u4fee\u6539 \uff0c \u4e86\u5b8c\u5168\u5b9e \u4e49 \u5212\u5206\u7684 \"\u5b8c\u5907\u6027\"\u548c\" \u64cd\u4f5c\u6027 \"\u539f\u5219\uff0c \u4eec\u9700\u8981\u57fa\u4e8e \u6587\u805a\u7c7b\u6280\u672f \uff0c\u5728\u5927\u89c4\u6a21\u8bed\u6599 \u4e2d", "content": "
(2) \u8bcd\uff0c \u7ffb\u8bd1\u7684\u4eba
(3) \u8bcd\uff0c\u628a \u79cd\u8bed\u8a00 \u8bd1 \u79cd\u8bed\u8a00 \u7684\u6587\u672c
GKB \u4e2d\"\u7ffb\u8bd1\" \u4e2a\u4e49\u4e49 \u91ca\u4e49\u7a7a\u7f3a
\u7ffb\u8bd1(1) \u52a8\u8bcd
(2) \u8fdb\u884c\u8bcd\u7c7b\u4e49 \u5212\u5206\u65f6 \uff0c \u4eec\u6ce8\u610f\u5230\u5bf9\u5229\u7528\u7edf \u6a21\u578b\u6982\u7387 \u8bcd\u8bed\u5c5e\u6027\u7684\u65b9\u6cd5\u5bf9
GKB \u7684\u6982\u7387 \u6539\u5728\u8fdb\u884c \u5434\u6797 \u5f20\u4ef0\u68ee2011 [18] \uff0c\u5bf9 SKCC \u8fdb\u884c\u6982\u7387
\u6539 \uff0c\u5f97\u5230\u5e76\u5b8c\u5584\u80fd\u5e7f\u6cdb \u7528\u4e8e\u8bcd \u4e49\u6d88\u6b67 \u67e5\u9519\u7b49\u9886\u57df\u7684\u8bcd\u6c47\u77e5\u8bc6 \u662f \u4eec\u7684
\u4e2a\u76ee\u6807
\u67e5\u8be2\u6620\u5c04\u7ed3\u679c \u6620\u5c04\u7ed3\u679c\u7684\u67e5\u8be2 \u8bcd\u8bed\u7684\u67e5\u8be2\u662f \u65f6\u8fdb\u884c\u7684 \uff0c\u82e5\u67e5\u8be2\u7684\u8bcd\u8bed\u5df2\u7ecf
\u8fdb\u884c\u4e86\u6620\u5c04\uff0c\u5728\u7ed3\u679c\u663e\u793a\u65f6\u5c31\u4f1a\u5c06\u8bcd\u8bed\u7684\u6620\u5c04\u5173\u7cfb \u65f6\u663e\u793a\u51fa\u6765 \u7531\u4e8e\u5b58\u50a8\u7684\u6620
\u5c04\u5173\u7cfb\u662f\u4ee5 \u90e8\u8bcd \u7684\u552f \u6807\u8bc6\u8fdb\u884c\u5b58\u50a8\u7684 \uff0c\u56e0 \u5728\u663e\u793a\u6620\u5c04\u5173\u7cfb\u524d \u9700\u8981\u5c06\u552f
\u6807\u8bc6\u8f6c\u6362 \u8bcd\u8bed\u67e5\u8be2\u7ed3\u679c\u7684\u7f16\u5bf9\u4e8e\u6620\u5c04\u8fc7\u7a0b\u4e2d\u51fa \u6620\u5c04\u9519\u8bef\u7684\u60c5\u51b5 \uff0c \u53f0
\u4ee5\u5bf9 \u95ee \u7684\u6620\u5c04\u5173\u7cfb\u8fdb\u884c\u589e\u5220\u6539\u64cd\u4f5c
\u5728\u6620\u5c04 \u7684\u57fa\u7840 \uff0c\u672c\u6587\u5b8c \u4e86\u4fee\u6539SKCC \u5168\u90e8 3282 \u4e2a\u591a\u4e49\u8bcd\u548c GKB \u4e2d
\u5bf9 \u8bcd\u6761\u7684\u4e49\u6620\u5c04\u5de5\u4f5c \u6620\u5c04\u5de5\u4f5c \u8981\u4f9d\u636e \u91ca\u4e49\u548c\u793a\u4f8b\uff0c\u5982\u8868\u4e94\u7684\"\u7ffb\u8bd1\"\uff0c\u5728
\u7ecf\u8fc7\u7b2c\u56db\u7ae0\u7684\u4fee\u6539\u64cd\u4f5c SKCC \u4e2d\u6536\u5f55\u7684 \u4e2a \u4e49
\u7ffb\u8bd1(1) \u52a8\u8bcd\uff0c\u7528 \u79cd\u8bed\u8a00 \u6587\u5b57\u6765\u8868\u8fbe \u79cd\u8bed\u8a00\u6587\u5b57
", "type_str": "table" } } } }