{"id":6238,"date":"2019-02-15T16:59:19","date_gmt":"2019-02-15T08:59:19","guid":{"rendered":"https:\/\/www.icnalb.cn\/?p=6238"},"modified":"2019-02-15T16:59:19","modified_gmt":"2019-02-15T08:59:19","slug":"16%e7%ba%a7%e9%82%93%e6%89%ac%e5%90%8c%e5%ad%a6%e5%8f%82%e5%8a%a0aaai-2019%e5%9b%bd%e9%99%85%e4%bc%9a%e8%ae%ae","status":"publish","type":"post","link":"https:\/\/www.icnlab.cn\/?p=6238","title":{"rendered":"16\u7ea7\u9093\u626c\u540c\u5b66\u53c2\u52a0AAAI 2019\u56fd\u9645\u4f1a\u8bae"},"content":{"rendered":"<p>\u7f8e\u56fd\u65f6\u95f42019\u5e741\u670827-2\u67081\u65e5\uff0c16\u7ea7\u9093\u626c\u540c\u5b66\u4e0e\u96f7\u51ef\u8001\u5e08\u3001\u6c88\u9896\u8001\u5e08\u4e00\u540c\u53c2\u52a0\u4e86\u5728\u7f8e\u56fd\u590f\u5a01\u5937\u6d32\u6a80\u9999\u5c71\uff08Honolulu, Hawaii\uff09\u4e3e\u529e\u7684AAAI 2019 (The Thirty-Third AAAI Conference on Artificial Intelligence) \u7f8e\u56fd\u4eba\u5de5\u667a\u80fd\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>AAAI\u4e8e1979\u5e74\u6210\u7acb\uff0c\u662f\u56fd\u9645\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u9876\u7ea7\u56fd\u9645\u4f1a\u8bae\uff0c\u88ab\u4e2d\u56fd\u8ba1\u7b97\u673a\u5b66\u4f1a\uff08CCF\uff09\u5217\u4e3aA\u7c7b\u4f1a\u8bae\u3002\u8fd9\u4e00\u534f\u4f1a\u5982\u4eca\u5728\u5168\u7403\u5df2\u6709\u8d85\u8fc76000\u540d\u7684\u4f1a\u5458\uff0c\u6c47\u96c6\u4e86\u5168\u7403\u6700\u9876\u5c16\u7684\u4eba\u5de5\u667a\u80fd\u9886\u57df\u4e13\u5bb6\u5b66\u8005\uff0c\u4e00\u76f4\u662f\u4eba\u5de5\u667a\u80fd\u754c\u7684\u7814\u7a76\u98ce\u5411\u6807\uff0c\u5728\u5b66\u672f\u754c\u4e45\u8d1f\u76db\u540d\u3002\u672c\u5c4a\u5927\u4f1a\u5171\u6536\u52307700\u4f59\u7bc7\u6709\u6548\u6295\u7a3f\uff0c\u5176\u4e2d7095\u7bc7\u8bba\u6587\u8fdb\u5165\u8bc4\u5ba1\u73af\u8282\uff0c\u6700\u7ec8\u67091150\u7bc7\u8bba\u6587\u88ab\u5f55\u7528\uff0c\u5f55\u53d6\u7387\u4e3a\u8fd1\u5e74\u6700\u4f4e\u4ec5\u4e3a16.2%\u3002\uff08https:\/\/aaai.org\/Conferences\/AAAI-19\/\uff09<\/p>\n<p><a href=\"https:\/\/www.icnalb.cn\/wp-content\/uploads\/2019\/02\/aaai-conference.png\"><img loading=\"lazy\" class=\"aligncenter size-large wp-image-6240\" src=\"https:\/\/www.icnalb.cn\/wp-content\/uploads\/2019\/02\/aaai-conference-1024x768.png\"  width=\"800\" height=\"600\" srcset=\"https:\/\/www.icnlab.cn\/wp-content\/uploads\/2019\/02\/aaai-conference-1024x768.png 1024w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2019\/02\/aaai-conference-300x225.png 300w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2019\/02\/aaai-conference-768x576.png 768w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2019\/02\/aaai-conference.png 1440w\" sizes=\"(max-width: 800px) 100vw, 800px\" title=\"16\u7ea7\u9093\u626c\u540c\u5b66\u53c2\u52a0AAAI 2019\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe\" alt=\"16\u7ea7\u9093\u626c\u540c\u5b66\u53c2\u52a0AAAI 2019\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe\" \/><\/a><\/p>\n<p>&nbsp;<\/p>\n<p>\u9093\u626c\u540c\u5b66\u5728\u672c\u6b21\u4f1a\u8bae\u4e0a\u53d1\u8868\u4e86\u4e00\u7bc7\u957f\u6587\u201cMulti-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering\u201d\uff0c\u5e76\u5728\u4f1a\u8bae\u4e0a\u505a\u4e86\u53e3\u5934\u6c47\u62a5\u8bba\u6587\u5c55\u793a\u3002<\/p>\n<p><a href=\"https:\/\/www.icnalb.cn\/wp-content\/uploads\/2019\/02\/aaai-pre.png\"><img loading=\"lazy\" class=\"aligncenter size-large wp-image-6241\" src=\"https:\/\/www.icnalb.cn\/wp-content\/uploads\/2019\/02\/aaai-pre-1024x767.png\"  width=\"800\" height=\"599\" srcset=\"https:\/\/www.icnlab.cn\/wp-content\/uploads\/2019\/02\/aaai-pre-1024x767.png 1024w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2019\/02\/aaai-pre-300x225.png 300w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2019\/02\/aaai-pre-768x575.png 768w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2019\/02\/aaai-pre.png 1440w\" sizes=\"(max-width: 800px) 100vw, 800px\" title=\"16\u7ea7\u9093\u626c\u540c\u5b66\u53c2\u52a0AAAI 2019\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe1\" alt=\"16\u7ea7\u9093\u626c\u540c\u5b66\u53c2\u52a0AAAI 2019\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe1\" \/><\/a><\/p>\n<p>&nbsp;<\/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><a href=\"https:\/\/www.icnalb.cn\/wp-content\/uploads\/2019\/02\/aaai-together.png\"><img loading=\"lazy\" class=\"aligncenter size-large wp-image-6242\" src=\"https:\/\/www.icnalb.cn\/wp-content\/uploads\/2019\/02\/aaai-together-1024x1024.png\"  width=\"800\" height=\"800\" srcset=\"https:\/\/www.icnlab.cn\/wp-content\/uploads\/2019\/02\/aaai-together-1024x1024.png 1024w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2019\/02\/aaai-together-150x150.png 150w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2019\/02\/aaai-together-300x300.png 300w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2019\/02\/aaai-together-768x768.png 768w, https:\/\/www.icnlab.cn\/wp-content\/uploads\/2019\/02\/aaai-together.png 1080w\" sizes=\"(max-width: 800px) 100vw, 800px\" title=\"16\u7ea7\u9093\u626c\u540c\u5b66\u53c2\u52a0AAAI 2019\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe2\" alt=\"16\u7ea7\u9093\u626c\u540c\u5b66\u53c2\u52a0AAAI 2019\u56fd\u9645\u4f1a\u8bae\u63d2\u56fe2\" \/><\/a><\/p>\n<p>&nbsp;<\/p>\n<p>\u4ee5\u4e0b\u662f\u8bba\u6587\u5217\u8868\u53ca\u7b80\u4ecb\uff1a<\/p>\n<ul>\n<li><strong>Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering<\/strong><\/li>\n<\/ul>\n<p><strong>\u4f5c\u8005\uff1aYang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei*, Ying Shen* (*Corresponding Author)<\/strong><\/p>\n<p>\u7b80\u4ecb\uff1a\u7b54\u6848\u9009\u62e9\u548c\u77e5\u8bc6\u5e93\u95ee\u7b54\uff08KBQA\uff09\u662f\u95ee\u7b54\u7cfb\u7edf\u7684\u4e24\u4e2a\u91cd\u8981\u4efb\u52a1\u3002\u73b0\u6709\u7684\u65b9\u6cd5\u5206\u522b\u89e3\u51b3\u8fd9\u4e24\u4e2a\u4efb\u52a1\uff0c\u9700\u8981\u5927\u91cf\u7684\u91cd\u590d\u5de5\u4f5c\uff0c\u800c\u5ffd\u7565\u4e86\u4efb\u52a1\u4e4b\u95f4\u4e30\u5bcc\u7684\u76f8\u5173\u4fe1\u606f\u3002\u672c\u6587\u57fa\u4e8e\u4ee5\u4e0b\u52a8\u673a\uff0c\u901a\u8fc7\u591a\u4efb\u52a1\u5b66\u4e60\uff08MTL\uff09\u540c\u65f6\u5904\u7406\u7b54\u6848\u9009\u62e9\u548cKBQA\u4efb\u52a1\u3002\u9996\u5148\uff0c\u7b54\u6848\u9009\u62e9\u548cKBQA\u90fd\u53ef\u4ee5\u770b\u4f5c\u662f\u4e00\u4e2a\u6392\u5e8f\u95ee\u9898\uff0c\u4e00\u4e2a\u5728\u6587\u672c\u7ea7\u522b\uff0c\u800c\u53e6\u4e00\u4e2a\u5728\u77e5\u8bc6\u7ea7\u522b\u3002\u7b2c\u4e8c\uff0c\u8fd9\u4e24\u4e2a\u4efb\u52a1\u53ef\u4ee5\u4e92\u76f8\u4fc3\u8fdb\uff1a\u7b54\u6848\u9009\u62e9\u53ef\u4ee5\u7ed3\u5408\u6765\u81ea\u77e5\u8bc6\u5e93\uff08KB\uff09\u7684\u5916\u90e8\u77e5\u8bc6\uff0c\u800cKBQA\u53ef\u4ee5\u901a\u8fc7\u4ece\u7b54\u6848\u9009\u62e9\u4e2d\u5b66\u4e60\u4e0a\u4e0b\u6587\u4fe1\u606f\u6765\u6539\u8fdb\u3002\u4e3a\u4e86\u5b9e\u73b0\u8054\u5408\u5b66\u4e60\u8fd9\u4e24\u9879\u4efb\u52a1\u7684\u76ee\u7684\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u7684\u591a\u4efb\u52a1\u5b66\u4e60\u65b9\u6848\uff0c\u5b83\u5229\u7528\u4ece\u4e0d\u540c\u89d2\u5ea6\u5b66\u4e60\u7684\u591a\u89c6\u89d2\u6ce8\u610f\u529b\uff0c\u4f7f\u8fd9\u4e9b\u4efb\u52a1\u80fd\u591f\u76f8\u4e92\u4ea4\u4e92\uff0c\u5e76\u5b66\u4e60\u66f4\u5168\u9762\u7684\u53e5\u5b50\u8868\u793a\u3002\u5728\u591a\u4e2a\u771f\u5b9e\u6570\u636e\u96c6\u4e0a\u7684\u5b9e\u9a8c\u9a8c\u8bc1\u4e86\u8be5\u65b9\u6cd5\u7684\u6709\u6548\u6027\uff0c\u63d0\u9ad8\u4e86\u7b54\u6848\u9009\u62e9\u548cKBQA\u7684\u6027\u80fd\u3002\u6b64\u5916\uff0c\u591a\u89c6\u89d2\u6ce8\u610f\u529b\u673a\u5236\u88ab\u8bc1\u660e\u80fd\u6709\u6548\u5730\u4ece\u4e0d\u540c\u8868\u5f81\u89d2\u5ea6\u7ec4\u88c5\u6ce8\u610f\u529b\u4fe1\u606f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u7f8e\u56fd\u65f6\u95f42019\u5e741\u670827-2\u67081\u65e5\uff0c16\u7ea7\u9093\u626c\u540c\u5b66\u4e0e\u96f7\u51ef\u8001\u5e08\u3001\u6c88\u9896\u8001\u5e08\u4e00\u540c\u53c2\u52a0\u4e86\u5728\u7f8e\u56fd\u590f\u5a01\u5937\u6d32\u6a80\u9999\u5c71\uff08Hon [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[16,31,4],"tags":[],"_links":{"self":[{"href":"https:\/\/www.icnlab.cn\/index.php?rest_route=\/wp\/v2\/posts\/6238"}],"collection":[{"href":"https:\/\/www.icnlab.cn\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.icnlab.cn\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.icnlab.cn\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.icnlab.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6238"}],"version-history":[{"count":1,"href":"https:\/\/www.icnlab.cn\/index.php?rest_route=\/wp\/v2\/posts\/6238\/revisions"}],"predecessor-version":[{"id":6244,"href":"https:\/\/www.icnlab.cn\/index.php?rest_route=\/wp\/v2\/posts\/6238\/revisions\/6244"}],"wp:attachment":[{"href":"https:\/\/www.icnlab.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6238"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.icnlab.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6238"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.icnlab.cn\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6238"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}