{"id":5815,"date":"2018-07-25T15:16:44","date_gmt":"2018-07-25T07:16:44","guid":{"rendered":"https:\/\/www.icnalb.cn\/?p=5815"},"modified":"2018-11-02T17:35:12","modified_gmt":"2018-11-02T09:35:12","slug":"16%e7%ba%a7%e9%99%88%e9%81%93%e6%ba%90%e3%80%81%e9%82%93%e6%89%ac%e5%90%8c%e5%ad%a6%e5%8f%82%e5%8a%a0sigir-2018%e5%9b%bd%e9%99%85%e4%bc%9a%e8%ae%ae","status":"publish","type":"post","link":"https:\/\/www.icnlab.cn\/?p=5815","title":{"rendered":"16\u7ea7\u9648\u9053\u6e90\u3001\u9093\u626c\u540c\u5b66\u53c2\u52a0SIGIR 2018\u56fd\u9645\u4f1a\u8bae"},"content":{"rendered":"<p>\u7f8e\u56fd\u65f6\u95f42018\u5e747\u67088-12\u65e5\uff0c16\u7ea7\u9648\u9053\u6e90\u3001\u9093\u626c\u540c\u5b66\u5728\u96f7\u51ef\u3001\u6c88\u9896\u8001\u5e08\u7684\u6307\u5bfc\u4e0b\uff0c\u53c2\u52a0\u4e86\u5728\u7f8e\u56fd\u5bc6\u6b47\u6839\u5b89\u5a1c\u5821\uff08Ann Arbor Michigan\uff09\u4e3e\u529e\u7684ACM SIGIR 2018 (Special Interest Group on Information Retrieval)\u56fd\u9645\u4f1a\u8bae,\u5c06\u5b9e\u9a8c\u5ba4\u7684\u7814\u7a76\u6210\u679c\u5728\u4f1a\u8bae\u4e0a\u5c55\u793a\u5e76\u4e0e\u6765\u81ea\u5168\u7403\u7684\u5b66\u8005\u5171\u540c\u8ba8\u8bba\u3002<\/p>\n<p>ACM SIGIR\u4f1a\u8bae\u521b\u59cb\u4e8e1971\u5e74\uff0c\u81f3\u4eca\u5df2\u670940\u591a\u5e74\u5386\u53f2\u3002ACM SIGIR\u4f1a\u8bae\u662f\u4fe1\u606f\u68c0\u7d22\u9886\u57df\u7684\u9876\u7ea7\u4f1a\u8bae\uff0c\u88ab\u4e2d\u56fd\u8ba1\u7b97\u673a\u5b66\u4f1a\uff08CCF\uff09\u5217\u4e3aA\u7c7b\u4f1a\u8bae\uff0c\u4e13\u6ce8\u4e8e\u5c55\u793a\u4e0e\u4fe1\u606f\u68c0\u7d22\u57fa\u7840\u7406\u8bba\u3001\u6280\u672f\u4e0e\u5e94\u7528\u6709\u5173\u7684\u7814\u7a76\uff0c\u5728\u4fe1\u606f\u68c0\u7d22\u9886\u57df\u5177\u6709\u5f88\u9ad8\u7684\u56fd\u9645\u5f71\u54cd\u529b\uff08<a href=\"http:\/\/sigir.org\/sigir2018\">http:\/\/sigir.org\/sigir2018<\/a>\uff09\u3002<\/p>\n<p>\u9648\u9053\u6e90\u540c\u5b66\u5728\u672c\u6b21\u4f1a\u8bae\u4e0a\u53d1\u8868\u4e86\u4e00\u7bc7\u77ed\u6587\u201cOntology Evaluation with Path-based Text-aware Entropy Computation\u201d\uff0c\u5e76\u5728\u4f1a\u8bae\u4e0a\u505a\u4e86\u6d77\u62a5\u8bba\u6587\u5c55\u793a\u3002<\/p>\n<p>\u9093\u626c\u540c\u5b66\u5728\u672c\u6b21\u4f1a\u8bae\u4e0a\u53d1\u8868\u4e86\u4e00\u7bc7\u77ed\u6587\u201cKnowledge-aware Attentive Neural Network for Ranking Question Answer Pairs\u201d\uff0c\u5e76\u5728\u4f1a\u8bae\u4e0a\u505a\u4e86\u6d77\u62a5\u8bba\u6587\u5c55\u793a\u3002<\/p>\n<p>\u901a\u8fc7\u53c2\u52a0\u672c\u6b21\u4f1a\u8bae,\u4e86\u89e3\u4e86\u76f8\u5173\u9886\u57df\u5185\u6700\u65b0\u7814\u7a76\u8fdb\u5c55\uff0c\u5f00\u62d3\u4e86\u89c6\u91ce\u3002\u901a\u8fc7\u505a\u62a5\u544a\uff0c\u8ba4\u8bc6\u5230\u4e86\u8bed\u8a00\u8868\u8fbe\u7684\u91cd\u8981\u6027\u3002\u901a\u8fc7\u4e0e\u53c2\u4f1a\u4eba\u5458\u7684\u4ea4\u6d41\uff0c\u53d7\u5230\u4e86\u5f88\u591a\u542f\u53d1\u3002\u611f\u8c22\u4e92\u8054\u7f51\u7814\u53d1\u4e2d\u5fc3\u3001\u96f7\u8001\u5e08\u548c\u6c88\u8001\u5e08\u7684\u8d44\u52a9\u3002<\/p>\n<p>&nbsp;<\/p>\n<p>\u4ee5\u4e0b\u662f\u8bba\u6587\u5217\u8868\u53ca\u7b80\u4ecb\uff1a<\/p>\n<ul>\n<li><strong>Ontology Evaluation with Path-based Text-aware Entropy Computation<\/strong><\/li>\n<li><strong>\u4f5c\u8005\uff1aYing Shen*, Daoyuan Chen*, Min Yang, Yaliang Li, Nan Du, Kai Lei\uff08* indicates equal contribution\uff09<\/strong><\/li>\n<li>\u6587\u7ae0\u94fe\u63a5\uff1a<a href=\"https:\/\/dl.acm.org\/citation.cfm?id=3210067\">https:\/\/dl.acm.org\/citation.cfm?id=3210067<\/a><\/li>\n<\/ul>\n<p>\u7b80\u4ecb\uff1a\u968f\u7740\u77e5\u8bc6\u4ea4\u6362\u7684\u91cd\u8981\u6027\u65e5\u76ca\u4e0a\u5347\uff0c\u672c\u4f53\u5df2\u6210\u4e3a\u77e5\u8bc6\u4ea4\u6362\u548c\u8bed\u4e49\u96c6\u6210\u7b49\u8bed\u4e49\u9a71\u52a8\u5e94\u7528\u7a0b\u5e8f\u5171\u4eab\u77e5\u8bc6\u6a21\u578b\u5f00\u53d1\u7684\u5173\u952e\u6280\u672f\u3002\u4f7f\u7528\u71b5\u6765\u6d4b\u91cf\u77e5\u8bc6\u78b1\u57fa\u7684\u53ef\u9884\u6d4b\u6027\u548c\u5197\u4f59\u6027\uff0c\u7279\u522b\u662f\u672c\u4f53\u7684\u53ef\u9884\u6d4b\u6027\u548c\u5197\u4f59\uff0c\u5df2\u7ecf\u53d6\u5f97\u4e86\u91cd\u5927\u8fdb\u5c55\u3002\u7136\u800c\uff0c\u76ee\u524d\u7528\u4e8e\u8bc4\u4f30\u672c\u4f53\u7684\u71b5\u5e94\u7528\u53ea\u8003\u8651\u5355\u70b9\u8fde\u63a5\uff0c\u800c\u4e0d\u8003\u8651\u8def\u5f84\u8fde\u63a5\uff0c\u4e3a\u6bcf\u4e2a\u5b9e\u4f53\u548c\u8def\u5f84\u5206\u914d\u76f8\u7b49\u7684\u6743\u91cd\uff0c\u5e76\u5047\u5b9a\u9876\u70b9\u662f\u9759\u6001\u7684\u3002\u9488\u5bf9\u8fd9\u4e9b\u4e0d\u8db3\uff0c\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u8def\u5f84\u7684\u6587\u672c\u611f\u77e5\u71b5\u8ba1\u7b97\u65b9\u6cd5PTEC\uff0c\u8be5\u65b9\u6cd5\u8003\u8651\u4e0d\u540c\u9876\u70b9\u4e4b\u95f4\u7684\u8def\u5f84\u4fe1\u606f\u548c\u8def\u5f84\u5185\u7684\u6587\u672c\u4fe1\u606f\uff0c\u8ba1\u7b97\u6574\u4e2a\u7f51\u7edc\u7684\u8fde\u63a5\u8def\u5f84\u4ee5\u53ca\u4e0d\u540c\u8282\u70b9\u4e4b\u95f4\u7684\u4e0d\u540c\u6743\u91cd\u3002\u4ece\u57fa\u4e8e\u7ed3\u6784\u7684\u5d4c\u5165\u548c\u57fa\u4e8e\u6587\u672c\u7684\u5d4c\u5165\u83b7\u5f97\u7684\u4fe1\u606f\u4e58\u4ee5\u71b5\u8ba1\u7b97\u7684\u8fde\u901a\u6027\u77e9\u9635\u3002\u57fa\u4e8e\u672c\u4f53\u7edf\u8ba1\u4fe1\u606f(\u6570\u636e\u91cf)\u3001\u71b5\u8bc4\u4f30(\u6570\u636e\u8d28\u91cf)\u548c\u6848\u4f8b\u7814\u7a76(\u672c\u4f53\u7ed3\u6784\u548c\u6587\u672c\u53ef\u89c6\u5316)\uff0c\u5bf9\u4e09\u79cd\u771f\u5b9e\u4e16\u754c\u672c\u4f53\u8fdb\u884c\u4e86\u5b9e\u9a8c\u8bc4\u4ef7\u3002\u8fd9\u4e9b\u65b9\u9762\u76f8\u4e92\u8bc1\u660e\u4e86\u6211\u4eec\u65b9\u6cd5\u7684\u53ef\u9760\u6027\u3002\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0cPTEC\u80fd\u591f\u6709\u6548\u5730\u8bc4\u4ef7\u672c\u4f53\uff0c\u7279\u522b\u662f\u5728\u533b\u5b66\u9886\u57df\u3002<\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs<\/strong><\/li>\n<li><strong>\u4f5c\u8005\uff1aYing Shen, Yang Deng, Min Yang, Yaliang Li, Nan Du, Wei Fan, Kai Lei<\/strong><\/li>\n<li>\u6587\u7ae0\u94fe\u63a5\uff1a<a href=\"https:\/\/dl.acm.org\/citation.cfm?id=3210081\">https:\/\/dl.acm.org\/citation.cfm?id=3210081<\/a><\/li>\n<li>\u5f00\u6e90\u4ee3\u7801\uff1a<a href=\"https:\/\/github.com\/d123y456\/kablstm\">https:\/\/github.com\/d123y456\/kablstm<\/a><\/li>\n<\/ul>\n<p>\u7b80\u4ecb\uff1a\u95ee\u7b54\u5bf9\u6392\u5e8f\u7531\u4e8e\u5176\u5e7f\u6cdb\u7684\u5e94\u7528\uff0c\u5982\u4fe1\u606f\u68c0\u7d22\u548c\u95ee\u7b54\uff08QA\uff09\uff0c\u8fd1\u5e74\u6765\u5f15\u8d77\u4e86\u8d8a\u6765\u8d8a\u591a\u7684\u5173\u6ce8\u3002\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u5728\u6b64\u4efb\u52a1\u4e0a\u53d6\u5f97\u4e86\u91cd\u5927\u8fdb\u5c55\u3002\u7136\u800c\uff0c\u5728\u4eba\u7c7b\u6587\u672c\u7406\u89e3\u4e2d\u8d77\u7740\u81f3\u5173\u91cd\u8981\u7684\u4f5c\u7528\u7684\u6587\u672c\u80cc\u666f\u4fe1\u606f\u548c\u9690\u85cf\u5728\u4e0a\u4e0b\u6587\u4e4b\u5916\u7684\u5173\u7cfb\uff0c\u5728\u6700\u8fd1\u53d6\u5f97\u6700\u597d\u7ed3\u679c\u7684\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u4e2d\u51e0\u4e4e\u6ca1\u6709\u88ab\u6df1\u5165\u7814\u7a76\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u63d0\u51fa\u4e86KABLSTM\uff0c\u4e00\u4e2a\u77e5\u8bc6\u611f\u77e5\u7684\u6ce8\u610f\u53cc\u5411\u957f\u77ed\u8bb0\u5fc6\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\uff0c\u5229\u7528\u5916\u90e8\u77e5\u8bc6\u4ece\u77e5\u8bc6\u56fe\u8c31\uff08KG\uff09\uff0c\u4e30\u5bcc\u4e86QA\u53e5\u5b50\u7684\u5411\u91cf\u8868\u793a\u5b66\u4e60\u3002\u5177\u4f53\u5730\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e0a\u4e0b\u6587\u77e5\u8bc6\u4ea4\u4e92\u5b66\u4e60\u7684\u4f53\u7cfb\u7ed3\u6784\uff0c\u5176\u4e2d\uff0c\u6211\u4eec\u8bbe\u8ba1\u4e86\u4e00\u4e2a\u4e0a\u4e0b\u6587\u4fe1\u606f\u5f15\u5bfc\u7684\u6ce8\u610f\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08CNN\uff09\uff0c\u5c06\u5916\u90e8\u77e5\u8bc6\u5d4c\u5165\u5230\u53e5\u5b50\u8868\u793a\u4e2d\u3002\u6b64\u5916\uff0c\u63d0\u51fa\u4e86\u4e00\u79cd\u77e5\u8bc6\u611f\u77e5\u7684\u6ce8\u610f\u673a\u5236\u6765\u5173\u6ce8QA\u5bf9\u7684\u5404\u4e2a\u90e8\u5206\u4e4b\u95f4\u7684\u91cd\u8981\u4fe1\u606f\u3002KABLSTM\u5728\u4e24\u4e2a\u5e7f\u6cdb\u4f7f\u7528\u7684\u57fa\u51c6QA\u6570\u636e\u96c6\u4e0a\u8bc4\u4f30\uff1aWikiQA\u548cTREC 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