{"id":3285,"date":"2021-04-20T00:22:38","date_gmt":"2021-04-19T16:22:38","guid":{"rendered":"https:\/\/achieve.dhcn.cn\/?p=3285"},"modified":"2022-03-12T15:48:24","modified_gmt":"2022-03-12T07:48:24","slug":"%e8%af%97%e6%ad%8c%e8%87%aa%e5%8a%a8%e5%86%99%e4%bd%9c%e5%88%8d%e8%ae%ae","status":"publish","type":"post","link":"https:\/\/achieve.dhcn.cn\/en\/site\/works\/dhjournal\/202001\/3285.html","title":{"rendered":"\u8bd7\u6b4c\u81ea\u52a8\u5199\u4f5c\u520d\u8bae"},"content":{"rendered":"<p>\u4f5c\u8005\uff1a\u5b59\u8302\u677e\uff1b\u8f6c\u81ea\uff1a\u516c\u4f17\u53f7 DH\u6570\u5b57\u4eba\u6587<\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong><span style=\"color:#60569a\" class=\"has-inline-color\">\u524d\u6cbf\u52a8\u6001<\/span><\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/1\u671f-1024x343.png\" alt=\"\" class=\"wp-image-2700\" width=\"578\" height=\"194\" srcset=\"https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/1\u671f-1024x343.png 1024w, https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/1\u671f-300x100.png 300w, https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/1\u671f-768x257.png 768w, https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/1\u671f.png 1063w\" sizes=\"auto, (max-width: 578px) 100vw, 578px\" \/><\/figure>\n\n\n\n<p class=\"has-normal-font-size\"><strong><span style=\"color:#0272a2\" class=\"has-inline-color\">\u5b59 \u8302 \u677e \/ \u6e05\u534e\u5927\u5b66\u8ba1\u7b97\u673a\u7cfb<\/span><\/strong><\/p>\n\n\n\n<p><\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"497\" height=\"280\" src=\"https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/\u6885.png\" alt=\"\" class=\"wp-image-3293\" title=\"\u6885.png\" srcset=\"https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/\u6885.png 497w, https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/\u6885-300x169.png 300w\" sizes=\"auto, (max-width: 497px) 100vw, 497px\" \/><figcaption>\u4e2d\u56fd\u53e4\u5178\u8bd7\u6b4c\u5199\u4f5c\u7cfb\u7edf\u201c\u4e5d\u6b4c\u201d<\/figcaption><\/figure><\/div>\n\n\n\n<p><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong><span style=\"color:#0272a2\" class=\"has-inline-color\">\u4e00\u3001\u8bd7\u6b4c\u81ea\u52a8\u5199\u4f5c\u7814\u7a76\u7684\u610f\u4e49<\/span><\/strong><\/p>\n\n\n\n<p><strong><span style=\"color:#0272a2\" class=\"has-inline-color\">\u81ea\u7136\u8bed\u8a00\u751f\u6210<\/span><\/strong>\uff08Natural Language Generation, NLG\uff09\u662f\u81ea\u7136\u8bed\u8a00\u7406\u89e3\u7684\u4e00\u4e2a\u91cd\u8981\u7814\u7a76\u9886\u57df\uff0c\u88ab\u8ba4\u4e3a\u662f<strong><span style=\"color:#0272a2\" class=\"has-inline-color\">\u6700\u96be\u7684\u8ba1\u7b97\u6311\u6218\u4efb\u52a1\u4e4b\u4e00<\/span><\/strong>\uff0c<sup>[1]<\/sup>\u5c5e\u4e8eColton and Wiggins \u6240\u9610\u91ca\u7684\u201c\u8ba1\u7b97\u521b\u9020\u529b\u201d\u8303\u7574<sup>,[2]<\/sup>\u4e0b\u5206\u591a\u4e2a\u7814\u7a76\u5b50\u9886\u57df\uff0c\u5982\u65b0\u95fb\u3001\u4f5c\u6587\u3001\u6563\u6587\u3001\u8bd7\u6b4c\u7b49\u7684\u81ea\u52a8\u5199\u4f5c\uff0c\u8fd1\u5e74\u6765\u65e5\u76ca\u5f97\u5230\u4eba\u5de5\u667a\u80fd\u5b66\u754c\u7684\u9ad8\u5ea6\u91cd\u89c6\u3002<sup>[3]<\/sup>\u5176\u4e2d<strong><span style=\"color:#0272a2\" class=\"has-inline-color\">\u8bd7\u6b4c\u81ea\u52a8\u5199\u4f5c<\/span><\/strong>\uff0c\u5c24\u5176\u662f<strong><span style=\"color:#0272a2\" class=\"has-inline-color\">\u4e2d\u56fd\u53e4\u5178\u8bd7\u6b4c\u7684\u81ea\u52a8\u5199\u4f5c<\/span><\/strong>\uff0c\u662f\u81ea\u7136\u8bed\u8a00\u751f\u6210\u4e2d\u6700\u5f15\u4eba\u6ce8\u76ee\u7684\u7814\u7a76\u8bfe\u9898\u4e4b\u4e00\u3002<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/\u60c5.jpg\" alt=\"\" class=\"wp-image-3292\" width=\"487\" height=\"483\" title=\"\u60c5.jpg\" srcset=\"https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/\u60c5.jpg 703w, https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/\u60c5-300x297.jpg 300w, https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/\u60c5-150x150.jpg 150w\" sizes=\"auto, (max-width: 487px) 100vw, 487px\" \/><figcaption>\u4e5d\u6b4c\u6240\u505a\u4e03\u8a00<\/figcaption><\/figure><\/div>\n\n\n\n<p><strong>\u8bd7\u6b4c<\/strong>\u662f\u4e2d\u56fd\u6587\u5b66\u4e2d\u6700\u65e9\u6210\u5f62\u7684\u6587\u5b66\u4f53\u88c1\uff08\u5728\u6211\u56fd\u5386\u53f2\u4e0a\u6700\u65e9\u7684\u8bd7\u6b4c\u603b\u96c6\u300a\u8bd7\u7ecf\u300b\u4e2d\uff0c\u6700\u65e9\u7684\u8bd7\u4f5c\u4e8e\u897f\u5468\u521d\u671f\uff09\uff0c\u5df2\u7ef5\u5ef6\u4e09\u5343\u5e74\uff0c\u5176\u53d1\u5c55\u8f83\u5176\u4ed6\u6587\u5b66\u5f62\u5f0f\u4e5f\u66f4\u4e3a\u5145\u5206\u3002\u53e4\u5178\u8bd7\u6b4c\u65e9\u5df2\u6df1\u6df1\u878d\u5165\u4e16\u4e16\u4ee3\u4ee3\u4e2d\u56fd\u4eba\u7684\u7cbe\u795e\u7279\u8d28\u4e2d\uff0c\u6210\u4e3a\u4e2d\u534e\u6587\u5316\u8840\u8109\u4e2d\u7684\u4e00\u90e8\u5206\uff0c\u5bf9\u4e2d\u534e\u6587\u660e\u7684\u53d1\u5c55\u4ea7\u751f\u4e86\u5de8\u5927\u7684\u5f71\u54cd\u3002\u5f52\u7eb3\u8d77\u6765\uff0c\u5f00\u5c55\u4e2d\u56fd\u53e4\u5178\u8bd7\u6b4c\u81ea\u52a8\u5199\u4f5c\u7814\u7a76\u5177\u6709\u5982\u4e0b\u610f\u4e49\uff1a<\/p>\n\n\n\n<p><strong><span style=\"color:#0272a2\" class=\"has-inline-color\">\uff08\u4e00\uff09\u4ece\u4eba\u7c7b\u8ba4\u77e5\u89d2\u5ea6\u6765\u770b\uff0c\u4e2d\u56fd\u53e4\u5178\u8bd7\u6b4c\u521b\u4f5c\u5c5e\u4e8e\u4e00\u79cd\u5177\u6709\u9ad8\u5ea6\u667a\u6167\u7684\u6587\u5b66\u827a\u672f\u521b\u9020\u6d3b\u52a8<\/span><\/strong>\uff0c\u5bf9\u4eba\u5de5\u667a\u80fd\u6765\u8bf4\uff0c\u65e0\u7591\u662f\u4e00\u4e2a\u4e0e\u56f4\u68cb\u53ef\u6bd4\u7684\u3001\u975e\u5e38\u5408\u9002\u7684\u8270\u5de8\u6311\u6218\u4efb\u52a1\uff1b<\/p>\n\n\n\n<p><strong><span style=\"color:#0272a2\" class=\"has-inline-color\">\uff08\u4e8c\uff09<\/span><\/strong>\u4ece<strong><span style=\"color:#0272a2\" class=\"has-inline-color\">\u8ba1\u7b97\u89d2\u5ea6<\/span><\/strong>\u6765\u770b\uff0c\u8fd9\u4e2a\u4efb\u52a1\u8db3\u591f\u56f0\u96be\u3002\u300a\u5eb7\u7199\u5b57\u5178\u300b\u5171\u6536\u5f55\u6c49\u5b5747,035\u4e2a\uff0c\u73b0\u4ee3\u8bb0\u5f55\u6c49\u8bed\u7684\u901a\u7528\u89c4\u8303\u5b57\u96c6\u300a\u901a\u7528\u89c4\u8303\u6c49\u5b57\u8868\u300b\u5171\u6536\u5f55\u6c49\u5b578,105\u4e2a\uff0c\u5982\u679c\u6211\u4eec\u7c97\u7565\u5047\u8bbe\u4e2d\u56fd\u53e4\u5178\u8bd7\u6b4c\u4f7f\u7528\u7684\u6bd4\u8f83\u901a\u7528\u7684\u6c49\u5b57\u57281 \u4e07\u5b57\u5de6\u53f3\uff0c\u5219\u5bf9\u4e03\u5f8b\u800c\u8a00\uff0c\u7406\u8bba\u4e0a\u53ef\u80fd\u4ea7\u751f\u7684\u8bd7\u6b4c\u603b\u6570\u662f10,000 \u76847*8 \u6b21\u65b9\uff0c\u53732 \u7684744\u6b21\u65b9\uff0c\u8fd9\u662f\u4e00\u4e2a\u4e0d\u6298\u4e0d\u6263\u7684\u5929\u6587\u6570\u5b57\uff08\u56f4\u68cb\u7684\u53ef\u80fd\u76d8\u9762\u603b\u6570\u4e3a3\u768419*19 \u6b21\u65b9\uff0c\u4e5f\u5c31\u662f3\u7684361\u6b21\u65b9\uff09\u3002<\/p>\n\n\n\n<p>\u5728\u8fd9\u4e2a\u6d69\u701a\u65e0\u6bd4\u7684\u8bd7\u6b4c\u53ef\u80fd\u7a7a\u95f4\u4e2d\uff0c\u5982\u4f55\u901a\u8fc7\u7b97\u6cd5\u5c3d\u53ef\u80fd\u591a\u5730\u751f\u6210\u53e4\u4eba\u8fd8\u6ca1\u6709\u201c\u6765\u5f97\u53ca\u201d\u5199\u51fa\u6765\u7684\u90a3\u4e9b\u201c\u826f\u6001\u201d\uff08well-formed\uff09\u8bd7\u6b4c\uff08\u8fd9\u4e2a\u6570\u91cf\u663e\u7136\u6781\u5176\u5de8\u5927\uff0c\u53e4\u4eba\u53ea\u662f\u521b\u4f5c\u51fa\u4e86\u5176\u4e2d\u5fae\u4e4e\u5176\u5fae\u7684\u4e00\u5c0f\u90e8\u5206\uff0c\u7edd\u5927\u90e8\u5206\u7a7a\u95f4\u8fd8\u6709\u5f85\u4e8e\u6211\u4eec\u901a\u8fc7\u7b97\u6cd5\u53bb\u201c\u6316\u6398\u201d\uff0c\u5373\u57fa\u4e8e\u5df2\u77e5\u7684\u53e4\u4eba\u8bd7\u6b4c\u521b\u4f5c\u7a7a\u95f4\u5bf9\u672a\u77e5\u7a7a\u95f4\u8fdb\u884c\u5408\u7406\u63a8\u884d\uff09\uff0c\u540c\u65f6\u6392\u9664\u6389\u90a3\u4e9b\u201c\u75c5\u6001\u201d\uff08ill-formed\uff09\u7684\u53ef\u80fd\u8bd7\u6b4c\uff0c\u5176\u96be\u5ea6\u4e0d\u8a00\u800c\u55bb\uff1b<\/p>\n\n\n\n<p><strong><span style=\"color:#0272a2\" class=\"has-inline-color\">\uff08\u4e09\uff09\u4ece\u7814\u7a76\u89d2\u5ea6\u6765\u770b\uff0c\u8bd7\u6b4c\u521b\u4f5c\u662f\u4e00\u79cd\u4e0e\u4e0b\u56f4\u68cb\u622a\u7136\u4e0d\u540c\u7684\u4eba\u7c7b\u667a\u529b\u6d3b\u52a8\uff0c<\/span><\/strong>\u5c5e\u4e8e\u81ea\u7136\u8bed\u8a00\u8303\u7574\uff0c\u5728\u5f62\u5f0f\u4e0a\u6709\u5e73\u4ec4\u3001\u62bc\u97f5\u7b49\u8981\u6c42\uff0c\u5728\u5185\u5bb9\u4e0a\u6709\u6587\u8f9e\u6d41\u7545\u6027\u3001\u4e0a\u4e0b\u6587\u8fde\u8d2f\u6027\u4e43\u81f3\u6574\u4f53\u4e00\u81f4\u6027\uff08\u5305\u62ec\u6574\u4f53\u8bed\u4e49\u3001\u610f\u5883\u3001\u98ce\u683c\u3001\u60c5\u611f\uff09\u7b49\u8981\u6c42\uff0c\u5e76\u4e14\u5bf9\u4e00\u9996\u8bd7\u6b4c\u7684\u8bc4\u5224\uff0c\u4ec1\u8005\u89c1\u4ec1\u3001\u667a\u8005\u89c1\u667a\uff0c\u6ca1\u6709\u7edf\u4e00\u3001\u786e\u5b9a\u7684\u6807\u51c6\uff08\u8fd9\u4e00\u70b9\u4e5f\u4e0e\u56f4\u68cb\u622a\u7136\u4e0d\u540c\uff09\uff0c\u8fd9\u5c31\u7ed9\u7b97\u6cd5\u8bbe\u8ba1\u63d0\u51fa\u4e86\u8bf8\u591a\u65b0\u7684\u6311\u6218\u3002<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/acl-2009-\u73b0\u573a.jpg\" alt=\"\" class=\"wp-image-3291\" width=\"528\" height=\"396\" srcset=\"https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/acl-2009-\u73b0\u573a.jpg 809w, https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/acl-2009-\u73b0\u573a-300x225.jpg 300w, https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/acl-2009-\u73b0\u573a-768x576.jpg 768w\" sizes=\"auto, (max-width: 528px) 100vw, 528px\" \/><figcaption>\u201c\u4e5d\u6b4c\u201d\u7814\u53d1\u56e2\u961f\u90e8\u5206\u6210\u5458\u5728\u7b2c57\u5c4a\u56fd\u9645\u8ba1\u7b97\u8bed\u8a00\u5b66\u5e74\u4f1a\u4e0a\uff082019\uff09<\/figcaption><\/figure><\/div>\n\n\n\n<p><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong><span style=\"color:#0272a2\" class=\"has-inline-color\">\u4e8c\u3001\u8bd7\u6b4c\u81ea\u52a8\u5199\u4f5c\u7814\u7a76\u7684\u53d1\u5c55\u5386\u7a0b\u53ca\u73b0\u72b6<\/span><\/strong><\/p>\n\n\n\n<p>\u8bd7\u6b4c\u81ea\u52a8\u5199\u4f5c\u7814\u7a76\u5728\u8fdb\u516520 \u4e16\u7eaa\u540e\u5f97\u5230\u4e86\u8d8a\u6765\u8d8a\u591a\u7684\u91cd\u89c6\u3002\u65e9\u671f\u5de5\u4f5c\u51e0\u4e4e\u90fd\u662f\u57fa\u4e8e\u89c4\u5219\u548c\u6a21\u677f\u7684\uff0c\u5178\u578b\u5982\u57fa\u4e8e\u4e13\u5bb6\u7cfb\u7edf\u7684\u897f\u73ed\u7259\u6587\u8bd7\u6b4c\u5199\u4f5c\u7cfb\u7edfASPERA<sup>[4]<\/sup>\u548c\u65e5\u672c\u4ff3\u53e5\u5199\u4f5c\u7cfb\u7edf\u3002<sup>[5]<\/sup>\u5f53\u65f6\u4ea7\u751f\u7684\u4e3b\u6d41\u673a\u5668\u5b66\u4e60\u5e38\u88ab\u7528\u6765\u63d0\u9ad8\u8bd7\u6b4c\u5199\u4f5c\u7684\u8d28\u91cf\uff0c \u5982\u9057\u4f20\u7b97\u6cd5\u88ab\u7528\u4e8e\u5916\u56fd\u8bd7\u6b4c\u5199\u4f5c\uff0c<sup>[6]<\/sup>\u4e5f\u88ab\u7528\u4e8e\u5b8b\u8bcd\u5199\u4f5c\u3002<sup>[7]<\/sup>\u8fd8\u6709\u5c1d\u8bd5\u5176\u4ed6\u9014\u5f84\u7684\uff0c \u5982\u878d\u5408\u4e86\u4fe1\u606f\u68c0\u7d22\u3001\u751f\u6210\u6027\u603b\u7ed3\uff08Generative Summarization\uff09\u53ca\u7ea6\u675f\u4f18\u5316\u7684\u8bd7\u6b4c\u5199\u4f5c\u65b9\u6cd5\u3002<sup>[8]<\/sup>\u7531\u4e8e\u7f3a\u4e4f\u6709\u6548\u7684\u8ba1\u7b97\u6a21\u578b\uff0c\u4e0a\u8ff0\u5de5\u4f5c\u603b\u7684\u6765\u8bf4\u8fd8\u5904\u4e8e\u201c\u521d\u7ea7\u201d\u9636\u6bb5\uff0c\u5e76\u4e14\u5f80\u5f80\u4f34\u6709\u4e00\u5b9a\u7684\u53d7\u9650\u4f7f\u7528\u6761\u4ef6\uff08\u5982\u6709\u4e9b\u5de5\u4f5c\u9700\u8981\u5927\u91cf\u4eba\u4e3a\u53c2\u4e0e\uff09\u3002\u63a5\u4e0b\u6765\uff0c\u968f\u7740\u673a\u5668\u5b66\u4e60\u548c\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4e0d\u65ad\u53d6\u5f97\u91cd\u5927\u8fdb\u5c55\uff0c\u8bd7\u6b4c\u81ea\u52a8\u5199\u4f5c\u7684\u8ba1\u7b97\u8303\u5f0f\u53d1\u751f\u4e86\u4e24\u6b21\u663e\u8457\u8f6c\u53d8\u3002<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/\u52b2\u677e.png\" alt=\"\" class=\"wp-image-3290\" width=\"492\" height=\"472\" srcset=\"https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/\u52b2\u677e.png 713w, https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/\u52b2\u677e-300x287.png 300w\" sizes=\"auto, (max-width: 492px) 100vw, 492px\" \/><figcaption>\u4e5d\u6b4c\u6240\u505a\u7edd\u53e5<\/figcaption><\/figure><\/div>\n\n\n\n<p>\u7b2c\u4e00\u6b21\u8ba1\u7b97\u8303\u5f0f\u8f6c\u53d8\u662f\u6e90\u4e8e\u7edf\u8ba1\u673a\u5668\u7ffb\u8bd1\u6a21\u578b\uff08Statistical Machine Translation, SMT\uff09\u7684\u51fa\u73b0\uff08IBM Model 1-5\uff09\u3002\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u5c06\u5176\u7528\u4e8e\u4e2d\u56fd\u5bf9\u8054\u7684\u81ea\u52a8\u5199\u4f5c\uff0c<sup>[9]<\/sup>\u53ef\u4ee5\u5728\u5f00\u653e\u6761\u4ef6\u4e0b\u751f\u6210\u8f83\u9ad8\u8d28\u91cf\u7684\u5bf9\u8054\uff0c\u5728\u5f53\u65f6\u53d6\u5f97\u4e86\u9887\u4e3a\u201c\u9707\u64bc\u201d\u7684\u6548\u679c\uff0cHe\u7b49<sup>[10]<\/sup>\u5c06\u8fd9\u4e2a\u65b9\u6cd5\u8fdb\u4e00\u6b65\u6269\u5c55\u5230\u4e2d\u56fd\u53e4\u5178\u8bd7\u6b4c\u5199\u4f5c\u4e2d\uff0c \u6240\u751f\u6210\u7edd\u53e5\u7684\u8d28\u91cf\u8f83\u4ee5\u5f80\u7684\u65b9\u6cd5\u6709\u4e86\u660e\u663e\u63d0\u5347\uff0c\u5145\u5206\u5c55\u793a\u51fa\u7edf\u8ba1\u673a\u5668\u7ffb\u8bd1\u6a21\u578b\u7684\u529b\u91cf\u3002\u7b2c\u4e8c\u6b21\u8ba1\u7b97\u8303\u5f0f\u8f6c\u53d8\u5219\u662f\u6e90\u4e8e\u6df1\u5ea6\u5b66\u4e60\uff08\u6df1\u5c42\u795e\u7ecf\u7f51\u7edc\uff09\u7684\u51fa\u73b0\u3002\u82e5\u5e72\u7814\u7a76\u5de5\u4f5c\u8868\u660e\uff0c\u5176\u8bd7\u6b4c\u81ea\u52a8\u5199\u4f5c\u6548\u679c\u660e\u663e\u597d\u4e8e\u7edf\u8ba1\u673a\u5668\u7ffb\u8bd1\u6a21\u578b\uff0c\u524d\u4e00\u4e2a\u8ba1\u7b97\u8303\u5f0f\u5dee\u4e0d\u591a\u88ab\u5f7b\u5e95\u201c\u7ec8\u7ed3\u201d\u3002<\/p>\n\n\n\n<p>\u8bd7\u6b4c\u81ea\u52a8\u5199\u4f5c\u8fd8\u9762\u4e34\u4e00\u4e2a\u56de\u907f\u4e0d\u4e86\u7684\u57fa\u672c\u95ee\u9898\u2014<strong><span style=\"color:#0272a2\" class=\"has-inline-color\">\u6240\u751f\u6210\u8bd7\u6b4c\u8d28\u91cf\u7684\u8bc4\u5224\u6807\u51c6\u95ee\u9898<\/span><\/strong>\u3002Manurung \u7b49<sup>[11]<\/sup>\u6307\u51fa\uff0c\u539f\u5219\u8003\u91cf\u5e94\u5305\u62ec\u5982\u4e0b\u4e09\u6761\uff1a\u4e00\u662f<strong><span style=\"color:#0272a2\" class=\"has-inline-color\">\u6ee1\u8db3\u8bed\u6cd5\u7ea6\u675f<\/span><\/strong>\uff08Constraints of Grammaticality\uff0c\u5373\u6240\u751f\u6210\u7684\u8bd7\u6b4c\u5728\u53e5\u6cd5\u4e0a\u5fc5\u987b\u662f\u201c\u826f\u6001\u201d\u7684\uff09\uff1b\u4e8c\u662f<strong><span style=\"color:#0272a2\" class=\"has-inline-color\">\u6709\u610f\u4e49<\/span><\/strong>\uff08Meaningfulness\uff0c\u5373\u6240\u751f\u6210\u7684\u8bd7\u6b4c\u80fd\u591f\u8868\u8fbe\u4f20\u9012\u5728\u67d0\u79cd\u89e3\u91ca\u4e0b\u6709\u610f\u4e49\u7684\u4fe1\u606f\uff09\uff1b\u4e09\u662f<strong><span style=\"color:#0272a2\" class=\"has-inline-color\">\u8bd7\u6027<\/span><\/strong>\uff08Poeticness, \u5177\u6709\u533a\u522b\u4e8e\u5176\u4ed6\u8bd7\u6027\u6587\u4f53\u7684\u7279\u5f81\uff09\u3002<\/p>\n\n\n\n<p>\u7b2c\u4e00\u6761\u662f\u6700\u57fa\u672c\u7684\u8981\u6c42\uff0c\u8c8c\u4f3c\u7b80\u5355\uff0c\u4f46\u5176\u5b9e\u5e76\u4e0d\u5bb9\u6613\u505a\u5230\uff0c\u7ecf\u9a8c\u8868\u660e\uff0c\u5982\u679c\u5229\u7528\u9a6c\u5c14\u79d1\u592b\u8bed\u8a00\u6a21\u578b\u6216\u8005\u9690\u9a6c\u5c14\u79d1\u592b\u8bed\u8a00\u6a21\u578b\uff0c\u5176\u751f\u6210\u8bd7\u53e5\u7684\u6587\u8f9e\u6d41\u7545\u6027\u5728\u5f88\u591a\u60c5\u51b5\u4e0b\u662f\u96be\u4ee5\u4fdd\u8bc1\u7684\uff1b\u7b2c\u4e8c\u6761\u5c5e\u4e8e\u6df1\u5c42\u6b21\u7684\uff0c\u65e2\u6709\u5355\u4e00\u8bd7\u53e5\u662f\u5426\u6709\u610f\u4e49\u7684\u95ee\u9898\uff0c\u4e5f\u6709\u4e0a\u4e0b\u6587\u8fde\u8d2f\u6027\u4ee5\u53ca\u6574\u9996\u8bd7\u6b4c\u6574\u4f53\u8bed\u4e49\u662f\u5426\u5408\u7406\u3001\u660e\u786e\u3001\u4e00\u81f4\u7684\u95ee\u9898\uff1b\u7b2c\u4e09\u6761\u662f\u5206\u5c42\u6b21\u7684\uff0c\u6709\u5e73\u4ec4\u3001\u62bc\u97f5\u7b49\u5f62\u5f0f\u4e0a\u7684\u57fa\u672c\u5c42\u6b21\u8981\u6c42\uff0c\u66f4\u91cd\u8981\u7684\u662f\u5173\u6d89\u5230\u610f\u5883\u3001\u98ce\u683c\u3001\u60c5\u611f\u7b49\u6df1\u5c42\u6b21\u8981\u6c42\u3002\u8fd9\u4e09\u6761\u539f\u5219\u5f97\u5230\u4e86\u76f8\u5173\u7814\u7a76\u8005\u4eec\u7684\u5e7f\u6cdb\u8ba4\u540c\u3002\u4ee5\u4e4b\u4e3a\u6307\u5bfc\uff0c\u5728\u5177\u4f53\u8003\u91cf\u6307\u6807\u4e0a\uff0c\u7814\u7a76\u8005\u4eec\u901a\u5e38\u4f1a\u9009\u62e9\u65e0\u987b\u4eba\u5de5\u4ecb\u5165\u7684Perplexity \u6216\u8005BLEU \u503c\u4ee5\u53ca\u4eba\u5de5\u4ecb\u5165\u7684\u8bc4\u5224\uff08\u8bf7\u4e00\u5b9a\u6570\u91cf\u7684\u8bd7\u4eba\u72ec\u7acb\u6253\u5206\uff09\uff0c\u6765\u7efc\u5408\u51b3\u5b9a\u6240\u5199\u4f5c\u8bd7\u6b4c\u7684\u8d28\u91cf\u3002<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/\u6e05\u98ce\u660e\u6708\u65e0\u4eba\u7ba1.png\" alt=\"\" class=\"wp-image-3289\" width=\"478\" height=\"469\" srcset=\"https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/\u6e05\u98ce\u660e\u6708\u65e0\u4eba\u7ba1.png 703w, https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/\u6e05\u98ce\u660e\u6708\u65e0\u4eba\u7ba1-300x294.png 300w\" sizes=\"auto, (max-width: 478px) 100vw, 478px\" \/><figcaption>\u4e5d\u6b4c\u6240\u505a\u96c6\u53e5\u8bd7<\/figcaption><\/figure><\/div>\n\n\n\n<p>\u8fd1\u5e74\u6765\u8bd7\u6b4c\u81ea\u52a8\u5199\u4f5c\u7684\u4e3b\u8981\u5de5\u4f5c\u51e0\u4e4e\u90fd\u662f\u5728\u6df1\u5ea6\u5b66\u4e60\u7684\u8ba1\u7b97\u8303\u5f0f\u4e0b\u8fdb\u884c\u7684\u3002Zhang \u548cLapata<sup>[12]<\/sup>\u63d0\u51fa\u4e86\u4e00\u79cd\u4ee5\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\uff08Recurrent Neural Networks, RNN\uff09 \u4e3a\u4e3b\uff0c\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08Convolutional Neural Networks, CNN\uff09\u4e3a\u8f85\u7684\u4e2d\u56fd\u53e4\u5178\u8bd7\u6b4c\u7edd\u53e5\u5199\u4f5c\u65b9\u6cd5\uff0c\u8fd9\u5e94\u8be5\u662f\u6df1\u5ea6\u5b66\u4e60\u8ba1\u7b97\u8303\u5f0f\u4e0b\u7684\u7b2c\u4e00\u4e2a\u8bd7\u6b4c\u5199\u4f5c\u7814\u7a76\u5de5\u4f5c\u3002\u8fd9\u4e2a\u5de5\u4f5c\u6d89\u53ca\u4e86\u4e09\u4e2a\u5b50\u6a21\u578b\uff1a\u5377\u79ef\u53e5\u5b50\u5b50\u6a21\u578b\uff08\u5d4c\u5165\u4e86\u6c49\u5b57\u5411\u91cf\uff09\u3001\u5faa\u73af\u4e0a\u4e0b\u6587\u5b50\u6a21\u578b\u548c\u5faa\u73af\u751f\u6210\u5b50\u6a21\u578b\u3002\u5176\u4e2d\u5173\u952e\u662f\u5faa\u73af\u4e0a\u4e0b\u6587\u5b50\u6a21\u578b\uff0c\u8fd9\u91cc\u6240\u6709\u4e0a\u4e0b\u6587\uff08\u591a\u4e2a\u53e5\u5b50\u5411\u91cf\uff09\u90fd\u88ab\u52a8\u6001\u201c\u7c97\u66b4\u201d\u538b\u7f29\u6210\u4e00\u4e2a\u5411\u91cf\u4f9b\u5faa\u73af\u751f\u6210\u5b50\u6a21\u578b\u4f7f\u7528\u3002<\/p>\n\n\n\n<p>\u5b9e\u9645\u4e0a\uff0c \u5728\u8bd7\u6b4c\u81ea\u52a8\u5199\u4f5c\u8fc7\u7a0b\u4e2d\u5982\u4f55\u5904\u7406\u597d\u201c\u4e0a\u201d\u6587\uff08\u4e00\u822c\u662f\u6307\u751f\u6210\u5f53\u524d\u5b57\u4e4b\u524d\u5df2\u7ecf\u751f\u6210\u4e86\u7684\u6240\u6709\u8bd7\u53e5\uff0c\u6240\u4ee5\u4e5f\u88ab\u79f0\u4f5chistory\uff09\u662f\u6bcf\u4e00\u4e2a\u7cfb\u7edf\u8bbe\u8ba1\u8005\u90fd\u5fc5\u987b\u8ba4\u771f\u601d\u7d22\u7684\u4e00\u4e2a\u5173\u952e\u56e0\u7d20\u3002\u7406\u8bba\u4e0a\uff0c\u8003\u8651\u7684history \u8d8a\u957f\uff0c\u5c31\u8d8a\u6709\u5229\u4e8e\u4fdd\u6301\u4e0a\u4e0b\u6587\u8fde\u8d2f\u6027\u548c\u5168\u8bd7\u4e00\u81f4\u6027\uff0c\u4f46\u53e6\u4e00\u65b9\u9762\uff0c\u4f1a\u5bfc\u81f4\u8bad\u7ec3\u6570\u636e\u7a00\u758f\u73b0\u8c61\u53d8\u5f97\u8d8a\u4e25\u91cd\uff0c\u751f\u6210\u53e5\u5b50\u7684\u6d41\u7545\u6027\u56e0\u6b64\u53ef\u80fd\u53d7\u5230\u8f83\u5927\u5f71\u54cd\uff0c\u8fd9\u59cb\u7ec8\u662f\u4e00\u5bf9\u201c\u6b64\u957f\u5f7c\u6d88\u201d\u7684\u77db\u76fe\uff0c\u9700\u8981\u8bbe\u8ba1\u8005\u7cbe\u5fc3\u6743\u8861\uff08trade-o\ufb00\uff09\u3002\u53e6\u5916\uff0c\u5982\u679chistory \u7684\u5411\u91cf\u8868\u793a\u8fc7\u4e8e\u7c97\u653e\uff08coarse-grained\uff09\uff0c\u5176\u8bed\u4e49\u7ec6\u8282\u7684\u4e22\u5931\u4e5f\u4f1a\u5bf9\u8bd7\u6b4c\u7684\u8fde\u8d2f\u6027\u4ea7\u751f\u4e0d\u5229\u5f71\u54cd\u3002\u4e25\u683c\u6765\u8bf4\uff0c\u8fd9\u4e2a\u5de5\u4f5c\u4e0d\u662f\u201c\u7eaf\u7cb9\u201d\u7684\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\uff0c\u4e3a\u4e86\u4fdd\u8bc1\u4e00\u81f4\u6027\uff0c\u5d4c\u5165\u4e86\u4f20\u7edf\u7684SMT \u7279\u5f81\u548c\u4e09\u5143\u8bed\u8a00\u6a21\u578b\uff0c\u6574\u4e2a\u6a21\u578b\u663e\u5f97\u6bd4\u8f83\u201c\u81c3\u80bf\u201d\uff0c\u5c5e\u4e8e\u4e24\u4e2a\u8ba1\u7b97\u8303\u5f0f\u4e4b\u95f4\u8f6c\u53d8\u7684\u8fc7\u6e21\u6001\u3002<\/p>\n\n\n\n<p>Yan<sup>[13]<\/sup>\u7684\u5de5\u4f5c\u540c\u6837\u6df7\u5408\u5229\u7528\u4e86RNN \u548cCNN, \u5176\u53ef\u5708\u70b9\u4e4b\u5904\u662f\u589e\u52a0\u4e86\u4e00\u4e2a\u591a\u8d9f\u201c\u8fed\u4ee3\u6253\u78e8\u201d\uff08iterative polishing\uff09\u673a\u5236\u3002\u4f5c\u8bd7\u8fc7\u7a0b\u4e0d\u662f\u4e00\u8d9f\u5c31\u5b8c\u6210\uff0c\u800c\u662f\u4ea7\u751f\u4e00\u9996\u5b8c\u6574\u7684\u8bd7\u540e\uff0c \u5176\u5411\u91cf\u8868\u793a\u4f1a\u88ab\u8ba4\u4f5c\u8bd7\u7684\u201c\u8981\u70b9\u201d\u800c\u4e0e\u7528\u6237\u8f93\u5165\u7684intention\uff08\u7528\u6237\u4e3b\u9898\u8bcd\uff0c\u901a\u5e38\u4e3a\u4e00\u4e2a\u6216\u4e00\u7ec4\u5173\u952e\u8bcd\uff09\u5408\u5e76\u5728\u4e00\u8d77\u53c2\u4e0e\u5230\u4e0b\u4e00\u8d9f\u7684\u751f\u6210\u4e2d\u3002\u8fd9\u6837\u505a\u663e\u7136\u4f1a\u4f7f\u4f5c\u8bd7\u7528\u65f6\u5927\u5927\u5ef6\u957f\u3002<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/\u65e0\u8a00.jpg\" alt=\"\" class=\"wp-image-3288\" width=\"473\" height=\"453\" srcset=\"https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/\u65e0\u8a00.jpg 721w, https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/\u65e0\u8a00-300x288.jpg 300w\" sizes=\"auto, (max-width: 473px) 100vw, 473px\" \/><figcaption>\u4e5d\u6b4c\u6240\u505a\u7edd\u53e5<\/figcaption><\/figure><\/div>\n\n\n\n<p>Wang \u7b49<sup>[14]<\/sup>Yi \u7b49<sup>[15]<\/sup>\u6700\u65e9\u53d7\u795e\u7ecf\u673a\u5668\u7ffb\u8bd1\u6a21\u578b\u7684\u542f\u53d1\uff0c<sup>[16]<\/sup>\u628a\u5e26attention \u7684\u7aef\u5230\u7aef\u957f\u77ed\u65f6\u8bb0\u5fc6\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\uff08End-to-End Long Short-Term Memory, End-to-End LSTM\uff09\u7528\u4e8e\u4e2d\u56fd\u53e4\u5178\u8bd7\u6b4c\u5199\u4f5c\u7684\u4e24\u4e2a\u72ec\u7acb\u7684\u5de5\u4f5c\uff08Yi \u7b49\u57282016 \u5e74\u5df2\u5c06\u76f8\u5173\u8bba\u6587\u516c\u5e03\u5728arXiv \u4e0a\uff09\uff0c\u524d\u8005\u5199\u4f5c\u5b8b\u8bcd\uff0c\u540e\u8005\u5199\u4f5c\u7edd\u53e5\uff0c\u5176\u4e2dYi \u7b49\u901a\u8fc7\u5f15\u5165\u5b57\u7684\u5168\u5c40tf*idf \u4fe1\u606f\u5bf9attention \u673a\u5236\u8fdb\u884c\u4e86\u6539\u9020\uff0c\u4ece\u8fc4\u4eca\u4e3a\u6b62\u7684\u5168\u90e8history \u4e2d\u52a8\u6001\u63d0\u53d6\u51fa\u201c\u663e\u8457\u6027\u201d\u9ad8\u7684\u5c40\u90e8history\uff0c\u5728\u4e0a\u4e0b\u6587\u8fde\u8d2f\u6027\u548c\u751f\u6210\u53e5\u5b50\u6d41\u7545\u6027\u4e4b\u95f4\u627e\u5230\u4e86\u4e00\u4e2a\u6bd4\u8f83\u597d\u7684\u5e73\u8861\uff0c\u7f13\u89e3\u4e86Zhang \u548cLapata \u5c06history\u201c\u7c97\u66b4\u201d\u538b\u7f29\u6210\u4e00\u4e2a\u5411\u91cf\u5e26\u6765\u7684\u5f0a\u7aef\u3002<\/p>\n\n\n\n<p>\u5728history \u5904\u7406\u673a\u5236\u65b9\u5411\u4e0a\u53e6\u4e00\u4e2a\u8fdb\u5c55\u662f\uff0cZhang \u7b49<sup>[17]<\/sup>\u5229\u7528\u9759\u6001memory \u5b58\u50a8\u4e00\u4e9b\u53e4\u4eba\u5199\u7684\u8bd7\u6b4c\uff0c\u7528\u4ee5\u63d0\u5347\u591a\u6837\u6027\u3002Yi \u7b49<sup>[18]<\/sup>\u5219\u501f\u9274\u8ba4\u77e5\u5fc3\u7406\u5b66\u4e2d\u5173\u4e8e\u5de5\u4f5c\u8bb0\u5fc6\uff08working memory\uff09\u7684\u673a\u7406\uff0c\u63d0\u51fa\u4e86\u52a8\u6001history memory \u6a21\u578b, \u53ef\u5728\u8bad\u7ec3\u4ee5\u53ca\u751f\u6210\u7684\u8fc7\u7a0b\u4e2d\u5bf9memory \u52a8\u6001\u5730\u8bfb\u5199\uff0c\u5177\u6709\u663e\u8457\u6027\u5386\u53f2\u4fe1\u606f\u8bb0\u5fc6\u548c\u9009\u62e9\u6027\u64e6\u9664\u529f\u80fd\uff0c \u80fd\u8f83\u597d\u6ee1\u8db3\u8f83\u957f\u7bc7\u5e45\u8bd7\u6b4c\u751f\u6210\u8fde\u8d2f\u6027\u7684\u9700\u8981\uff0c\u4e14\u751f\u6210\u8d28\u91cf\u5f97\u5230\u4e86\u8fdb\u4e00\u6b65\u63d0\u5347\u3002<\/p>\n\n\n\n<p>\u9664\u4e86\u4e0a\u8ff0\u9488\u5bf9history \u673a\u5236\u7684\u7814\u7a76\u4e4b\u5916\uff0c\u8bd7\u6b4c\u5199\u4f5c\u7814\u7a76\u6b63\u6cbf\u7740\u82e5\u5e72\u65b9\u5411\u5728\u4e0d\u65ad\u6269\u5c55\u6df1\u5316\u3002\u8b6c\u5982\uff1a<\/p>\n\n\n\n<p>\u65b9\u5411\u4e4b\u4e00\uff1aWang \u7b49<sup>[19]<\/sup>\u901a\u8fc7\u9884\u5148\u7edf\u8ba1\u5173\u952e\u8bcd\u96c6\u5728\u53e4\u8bd7\u5e93\u4e2d\u7684\u53e5\u5b50\u4f4d\u7f6e\u4fe1\u606f\uff0c\u5728\u4f5c\u8bd7\u8fc7\u7a0b\u4e2d\u5bf9\u5173\u952e\u8bcd\u51fa\u73b0\u7684\u5148\u540e\u5236\u7ea6\u8fdb\u884c\u201c\u89c4\u5212\u201d\uff08planning\uff09\uff0c\u4ee5\u671f\u751f\u6210\u6574\u4f53\u6027\u5f3a\u7684\u8bd7\u6b4c\u3002\u8fd9\u4e2a\u7b56\u7565\u867d\u7136\u8fc7\u4e8e\u76f4\u767d\u3001\u7b80\u5355\uff0c\u4f46\u5176\u8bd5\u56fe\u5229\u7528\u5b8f\u89c2\u77e5\u8bc6\u5bf9\u8bd7\u6b4c\u751f\u6210\u7ed3\u6784\u8fdb\u884c\u67d0\u79cd\u201c\u63a7\u5236\u201d\u7684\u57fa\u672c\u60f3\u6cd5\u662f\u53ef\u53d6\u7684\u3002<\/p>\n\n\n\n<p>\u65b9\u5411\u4e4b\u4e8c\uff1aGhazvininejad \u7b49<sup>[20]<\/sup>\u7684Hafez \u5916\u56fd\u8bd7\u6b4c\u5199\u4f5c\u7cfb\u7edf\u6df7\u5408\u4e86RNN \u548c\u786e\u5b9a\u6027\u6709\u9650\u72b6\u6001\u81ea\u52a8\u673a\uff0c\u503c\u5f97\u4e00\u63d0\u7684\u662f\uff0c\u5b83\u589e\u52a0\u4e86\u4e00\u4e2a\u201c\u98ce\u683c\u63a7\u5236\u201d\u673a\u5236\u4ee5\u63d0\u9ad8\u6240\u751f\u6210\u8bd7\u6b4c\u7684\u4e3b\u9898\u76f8\u5173\u6027\u548c\u98ce\u683c\u591a\u6837\u6027\uff0c\u867d\u7136\u4ec5\u4ec5\u662f\u5728RNN \u7684beam search \u4e2d\u901a\u8fc7\u8c03\u6574\u201c\u60c5\u611f\u8bcd\u201d\u201c\u7528\u6237\u4e3b\u9898\u8bcd\u201d\u7684\u6743\u91cd\u4e88\u4ee5\u7b80\u5355\u63a7\u5236\uff08Hafez \u7cfb\u7edf\u83b7\u5f97\u4e86ACL 2017 \u6700\u4f73\u5c55\u793a\u5956\uff09\u3002Yang \u7b49<sup>[21]<\/sup>\u5728\u7aef\u5230\u7aef\u7684LSTM \u6a21\u578b\u4e2d\u5f15\u5165\u4e86\u989d\u5916\u7684\u8bd7\u53e5\u98ce\u683c\u95f4\u7684\u4e92\u4fe1\u606f\u6b63\u5219\u9879\u7ea6\u675f\uff0c\u6700\u5927\u5316\u8be5\u7ea6\u675f\u7684\u7406\u8bba\u4e0b\u754c\uff0c\u7ecf\u8fc7\u591a\u8f6e\u8bad\u7ec3\u4f7f\u5f97\u4e0d\u540c\u98ce\u683c\u7684\u8bd7\u53e5\u5728\u89e3\u7801\u7aef\u80fd\u591f\u89e3\u8026\u5408\uff0c\u4ece\u800c\u5b9e\u73b0\u98ce\u683c\u53ef\u63a7\u7684\u8bd7\u6b4c\u751f\u6210\u3002\u53d7\u56fe\u50cf\u667a\u80fd\u5904\u7406\u4e2d\u98ce\u683c\u8f6c\u6362\u7814\u7a76\u6b63\u9163\u7684\u53d8\u5206\u81ea\u52a8\u7f16\u7801\u5668\u6a21\u578b\uff08Variational Autoencoder, VAE\uff09\u7684\u542f\u53d1\uff0cYang \u7b49<sup>[22]<\/sup>\u5c06\u6761\u4ef6VAE \u5d4c\u5165\u901a\u7528\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\u4e2d\uff0c\u53ef\u4ee5\u5168\u81ea\u52a8\u5730\u5b66\u4e60\u9690\u53d8\u91cf\u7684\u8bdd\u9898\u4fe1\u606f\uff0c\u4f7f\u5f97\u6240\u751f\u6210\u7684\u4e2d\u56fd\u53e4\u5178\u8bd7\u6b4c\u5bf9\u7528\u6237\u7ed9\u5b9a\u7684\u4e3b\u9898\u5177\u6709\u8f83\u597d\u7684\u6574\u4f53\u8fde\u8d2f\u6027\u3002Li \u7b49<sup>[23]<\/sup>\u7684\u5de5\u4f5c\u7c7b\u4f3c\uff0c\u4e5f\u662f\u5e0c\u671b\u501f\u52a9\u6761\u4ef6VAE \u63d0\u9ad8\u6240\u751f\u6210\u53e4\u8bd7\u7684\u4e3b\u9898\u8fde\u8d2f\u6027\uff08\u4f46\u989d\u5916\u589e\u52a0\u4e86\u4e00\u4e2a\u751f\u6210\u7ade\u4e89\u673a\u5236\uff09\u3002\u4e0a\u8ff0\u5de5\u4f5c\u57fa\u672c\u4e0a\u90fd\u662f\u5728\u539f\u59cb\u8bd7\u5e93\u4e0a\u65e0\u76d1\u7763\u8bad\u7ec3\u7684\uff0c\u8fd9\u662f\u5b83\u4eec\u7684\u957f\u5904\uff0c\u4f46\u7531\u4e8e\u7f3a\u4e4f\u201c\u793a\u6559\u201d\uff0c\u5b58\u5728\u6027\u80fd\u4e0a\u7684\u5148\u5929\u4e0d\u8db3\u3002<\/p>\n\n\n\n<p>\u65b9\u5411\u4e4b\u4e09\uff1aYi \u7b49[24]\u9488\u5bf9\u751f\u6210\u8bd7\u6b4c\u8d28\u91cf\u7684\u8bc4\u5224\u6807\u51c6\u95ee\u9898\u8fdb\u884c\u4e86\u6df1\u5165\u601d\u8003\u548c\u63a2\u7d22\u3002\u4ee5\u5f80\u7684\u8bd7\u6b4c\u751f\u6210\u6a21\u578b\u5927\u90fd\u662f\u57fa\u4e8e\u6781\u5927\u4f3c\u7136\u4f30\u8ba1\uff08MLE\uff09\uff0c\u5373\u4f18\u5316\u76ee\u6807\u662f\u4f7f\u6240\u751f\u6210\u8bd7\u6b4c\u7684\u6bcf\u4e2a\u5b57\u90fd\u4e0eground truth \u66f4\u63a5\u8fd1\u3002\u8fd9\u6837\u7684\u505a\u6cd5\u663e\u7136\u4e0d\u8db3\u591f\uff0c\u56e0\u4e3a\u6211\u4eec\u60f3\u8981\u7684\u662f\u4e00\u9996\u751f\u6210\u7684\u201c\u597d\u8bd7\u201d\uff0c\u5e76\u975e\u4e00\u9996\u4e0e\u53e4\u4eba\u5b8c\u5168\u91cd\u590d\u7684\u8bd7\u3002MLE \u662f\u57fa\u4e8e\u5355\u5b57\u7684\u4f3c\u7136\u4f18\u5316\uff0c\u800c\u4eba\u7c7b\u8bc4\u4ef7\u8bd7\u6b4c\u597d\u574f\u662f\u57fa\u4e8e\u8bd7\u53e5\u6216\u6574\u9996\u8bd7\uff0c\u8fd9\u4e2a\u5de5\u4f5c\u76f4\u63a5\u5bf9\u901a\u987a\u6027\u3001\u4e0a\u4e0b\u6587\u5173\u8054\u6027\u3001\u8bed\u4e49\u4e30\u5bcc\u7a0b\u5ea6\u3001\u8bd7\u6b4c\u7684\u6574\u4f53\u8d28\u91cf\u7b49\u4eba\u7c7b\u8bc4\u4ef7\u6307\u6807\u8fdb\u884c\u4f18\u5316\uff0c\u8bbe\u8ba1\u4e86\u4e00\u79cd\u201c\u4e92\u589e\u5f3a\u5b66\u4e60\u201d\u673a\u5236\uff0c\u540c\u65f6\u8bad\u7ec3\u4e24\u4e2a\u8bd7\u6b4c\u751f\u6210\u6a21\u578b\uff0c\u5e76\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u8ba9\u8fd9\u4e24\u4e2a\u6a21\u578b\u4e92\u76f8\u5b66\u4e60\u3001\u4e92\u76f8\u501f\u9274\uff0c\u4ee5\u5b9e\u73b0\u4e92\u76f8\u8ffd\u8d76\uff0c\u5171\u540c\u63d0\u5347\uff0c\u6700\u7ec8\u8fdb\u4e00\u6b65\u63d0\u9ad8\u751f\u6210\u8bd7\u6b4c\u7684\u8d28\u91cf\uff0c \u6709\u6548\u6539\u5584\u4e86\u4ee5\u5f80\u6a21\u578b\u4e2d\u5b58\u5728\u7684\u4f18\u5316\u6307\u6807\u7c7b\u578b\u4e0d\u5339\u914d\u4ee5\u53ca\u7c92\u5ea6\u4e0d\u5339\u914d\u7684\u95ee\u9898\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong><span style=\"color:#0272a2\" class=\"has-inline-color\">\u4e09\u3001\u201c\u4e5d\u6b4c\u201d\u2014&nbsp;&nbsp;\u4e2d\u56fd\u53e4\u5178\u8bd7\u6b4c\u81ea\u52a8\u5199\u4f5c\u7684\u4e00\u4e2a\u6848\u4f8b<\/span><\/strong><\/p>\n\n\n\n<p><strong><span style=\"color:#0272a2\" class=\"has-inline-color\">\u6e05\u534e\u5927\u5b66\u81ea\u7136\u8bed\u8a00\u5904\u7406\u548c\u793e\u4f1a\u4eba\u6587\u8ba1\u7b97\u5b9e\u9a8c\u5ba4<\/span><\/strong>\u81ea2016\u5e74\u521d\u5f00\u59cb\u8fdb\u884c\u57fa\u4e8e\u4eba\u5de5\u667a\u80fd\u7b97\u6cd5\u7684\u4e2d\u56fd\u53e4\u5178\u8bd7\u6b4c\u5199\u4f5c\u7814\u7a76\uff0c\u5e76\u4e8e2017\u5e744\u6708\u63a8\u51fa\u4e86\u4e2d\u56fd\u53e4\u5178\u8bd7\u6b4c\u5199\u4f5c\u7cfb\u7edf\u201c<strong><span style=\"color:#0272a2\" class=\"has-inline-color\">\u4e5d\u6b4c<\/span><\/strong>\u201d\uff08<strong><a href=\"https:\/\/jiuge.thunlp.cn\/\"><span style=\"color:#0272a2\" class=\"has-inline-color\">https:\/\/jiuge.thunlp.cn\/<\/span><\/a><\/strong>\uff09\u3002<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"188\" height=\"180\" src=\"https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/\u4e5d\u6b4c\u4e8c\u7ef4\u780111-1.jpg\" alt=\"\" class=\"wp-image-3286\"\/><figcaption>\u4e5d\u6b4c\u4e8c\u7ef4\u7801<\/figcaption><\/figure><\/div>\n\n\n\n<p>\u8fc4\u4eca\u4e3a\u6b62\uff0c\u201c\u4e5d\u6b4c\u201d\u5df2\u4e3a\u5e7f\u5927\u4e92\u8054\u7f51\u7528\u6237\u5199\u4f5c\u4e86\u7ea6<strong><span style=\"color:#0272a2\" class=\"has-inline-color\">500\u4e07<\/span><\/strong>\u9996\u8bd7\u6b4c\u30022017\u5e74\u5f00\u53d1\u56e2\u961f\u9aa8\u5e72\u6210\u5458\u77e3\u6653\u6c85\u3001\u9648\u6167\u654f\u3001\u6768\u6210\u7b49\u643a\u201c\u4e5d\u6b4c\u201d\u53c2\u52a0\u4e86\u592e\u89c6\u4e00\u5957\u9ec4\u91d1\u6863\u5927\u578b\u79d1\u5b66\u6311\u6218\u7c7b\u8282\u76ee\u300a\u673a\u667a\u8fc7\u4eba\u300b\uff0c\u201c\u4e5d\u6b4c\u201d \u4e0e\u4e09\u4f4d\u5f53\u4ee3\u9752\u5e74\u8bd7\u4eba\u540c\u53f0\u7ade\u6280\uff0c\u6bd4\u62fc\u8bd7\u6b4c\u521b\u4f5c\u80fd\u529b\uff0c\u6210\u529f\u901a\u8fc7\u4e86\u73b0\u573a\u89c2\u4f17\u7684\u6d4b\u8bd5\uff0c\u8282\u76ee\u89c6\u9891\u5728\u7f51\u7edc\u4e0a\u89c2\u770b\u6b21\u6570\u7ea61,000\u4e07\u6b21\u3002<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"554\" height=\"299\" src=\"https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/\u4e5d\u6b4c\u4e3b\u8981\u7814\u7a76\u4eba\u5458\u4e4b\u4e00\u3001\u6e05\u534e\u5927\u5b66\u8ba1\u7b97\u673a\u7cfb\u7814\u7a76\u751f\u77e3\u6653\u6c85\uff08\u5de6\u4e8c\uff09\u5728\u4e2d\u592e\u7535\u89c6\u53f0-1\u300a\u673a\u667a\u8fc7\u4eba\u300b\u8282\u76ee\u4e0a.png\" alt=\"\" class=\"wp-image-3287\" srcset=\"https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/\u4e5d\u6b4c\u4e3b\u8981\u7814\u7a76\u4eba\u5458\u4e4b\u4e00\u3001\u6e05\u534e\u5927\u5b66\u8ba1\u7b97\u673a\u7cfb\u7814\u7a76\u751f\u77e3\u6653\u6c85\uff08\u5de6\u4e8c\uff09\u5728\u4e2d\u592e\u7535\u89c6\u53f0-1\u300a\u673a\u667a\u8fc7\u4eba\u300b\u8282\u76ee\u4e0a.png 554w, https:\/\/achieve.dhcn.cn\/wp-content\/uploads\/2021\/04\/\u4e5d\u6b4c\u4e3b\u8981\u7814\u7a76\u4eba\u5458\u4e4b\u4e00\u3001\u6e05\u534e\u5927\u5b66\u8ba1\u7b97\u673a\u7cfb\u7814\u7a76\u751f\u77e3\u6653\u6c85\uff08\u5de6\u4e8c\uff09\u5728\u4e2d\u592e\u7535\u89c6\u53f0-1\u300a\u673a\u667a\u8fc7\u4eba\u300b\u8282\u76ee\u4e0a-300x162.png 300w\" sizes=\"auto, (max-width: 554px) 100vw, 554px\" \/><figcaption>\u4e5d\u6b4c\u4e3b\u8981\u7814\u7a76\u4eba\u5458\u4e4b\u4e00\u3001\u6e05\u534e\u5927\u5b66\u8ba1\u7b97\u673a\u7cfb\u7814\u7a76\u751f\u77e3\u6653\u6c85\uff08\u5de6\u4e8c\uff09\u5728\u4e2d\u592e\u7535\u89c6\u53f0-1\u300a\u673a\u667a\u8fc7\u4eba\u300b\u8282\u76ee\u4e0a<\/figcaption><\/figure><\/div>\n\n\n\n<p>\u201c\u4e5d\u6b4c\u201d\u8fd8\u53d7\u9080\u5728\u9996\u5c4a\u4e2d\u56fd\u5317\u4eac\u56fd\u9645\u8bed\u8a00\u6587\u5316\u535a\u89c8\u4f1a\u3001\u300a\u673a\u667a\u8fc7\u4eba\u300b\u4eba\u5de5\u667a\u80fd2017\u5e74\u5ea6\u76db\u5178\u3001\u7b2c\u4e03\u5c4a\u5434\u6587\u4fca\u4eba\u5de5\u667a\u80fd\u79d1\u5b66\u6280\u672f\u5956\u9881\u5956\u665a\u4f1a\u3001\u592e\u89c6\u4e09\u5957\u300a\u6536\u83b72017\u300b\u3001\u8d4b\u80fd\u4e2d\u56fd-2018\u4eba\u5de5\u667a\u80fd\u4ea7\u4e1a\u5316\u9ad8\u5cf0\u8bba\u575b\u7b49\u573a\u5408\u8fdb\u884c\u516c\u5f00\u5c55\u793a\uff0c\u63a5\u53d7\u7528\u6237\u7684\u76f4\u63a5\u68c0\u9a8c\u30022017\u5e74\uff0c\u201c\u4e5d\u6b4c\u201d\u83b7\u7b2c\u5341\u516d\u5c4a\u4e2d\u56fd\u8ba1\u7b97\u8bed\u8a00\u5b66\u5927\u4f1a\uff08CCL2017\uff09\u6700\u4f73\u7cfb\u7edf\u5c55\u793a\u5956\u30022018\u5e74\uff0c\u201c\u4e5d\u6b4c\u201d\u56e2\u961f\u53c2\u52a0\u4eac\u6fb3\u4e2d\u5b66\u4eba\u5de5\u667a\u80fd\u5468\uff0c\u5230\u5317\u4eac\u4eba\u5927\u9644\u4e2d\u53ca\u6fb3\u95e8\u57f9\u6b63\u4e2d\u5b66\u505a\u591a\u573a\u8bb2\u5ea7\u30022018\u5e749\u6708\uff0c\u201c\u4e5d\u6b4c\u201d\u4e0e\u817e\u8baf\u5408\u4f5c\uff0c\u63a8\u51fa\u4e86\u201c\u4e2d\u79cb\u6708-\u4e3a\u6545\u4e61\u5199\u8bd7\u201dWeb \u5e94\u7528\uff0c\u6839\u636e\u7528\u6237\u62cd\u6444\u7684\u7167\u7247\u751f\u6210\u4e0e\u5185\u5bb9\u57fa\u672c\u5bf9\u5e94\u7684\u8bd7\uff0c\u5171\u4ea7\u751f\u4e86300\u591a\u4e07\u4e2a\u56fe\u6587\u5e76\u8302\u7684\u201c\u4f5c\u54c1\u201d\u3002<\/p>\n\n\n\n<p>\u8fd9\u91cc\u5217\u4e3e\u201c\u4e5d\u6b4c\u201d\u81ea\u52a8\u5199\u4f5c\u51fa\u6765\u7684\u8bd7\u3001\u8bcd\u5404\u4e00\u9996\uff0c\u53ef\u4ee5\u7ea6\u7565\u611f\u53d7\u5230\u4eba\u5de5\u667a\u80fd\u8bd7\u6b4c\u5199\u4f5c\u7684\u73b0\u6709\u6c34\u5e73\uff1a<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p>                   <strong>\u4e03\u5f8b\u00b7\u4e2d\u79cb<\/strong><\/p><p>\u4e0d\u9053\u4eca\u5bb5\u662f\u53e4\u5929\uff0c\u6e05\u8f89\u72b9\u5728\u65e7\u98ce\u70df\u3002<\/p><p>\u6708\u534e\u6e10\u6ee1\u957f\u5b89\u964c\uff0c\u5c71\u6c14\u5fae\u751f\u5e7f\u6b66\u5ddd\u3002<\/p><p>\u767d\u9732\u4e4d\u665e\u82b1\u5e95\u6842\uff0c\u7d20\u8f6e\u4ecd\u52a8\u955c\u8fb9\u83b2\u3002<\/p><p>\u8c01\u582a\u591c\u591c\u601d\u5f52\u5ba2\uff0c\u72ec\u5bf9\u5bd2\u7a97\u611f\u5c81\u5e74\u3002<\/p><\/blockquote>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p>   <strong>\u6e14\u6b4c\u5b50\u00b7\u6625\u98ce<\/strong><\/p><p>\u6625\u98ce\u5439\u96e8\u8fc7\u6c5f\u6e44\uff0c<\/p><p>\u4e07\u9877\u70df\u6ce2\u6f3e\u78a7\u6f2a\u3002<\/p><p>\u7ea2\u84fc\u5cb8\uff0c\u7eff\u6768\u5824\uff0c<\/p><p>\u767d\u82f9\u6d32\u4e0a\u5c0f\u6865\u897f\u3002<\/p><\/blockquote>\n\n\n\n<p>\u5b9e\u9645\u4e0a\uff0c\u5bf9\u7cfb\u7edf\u8fdb\u884c\u7a0d\u5fae\u7ec6\u81f4\u4e00\u70b9\u7684\u8003\u5bdf\u5c31\u4f1a\u53d1\u73b0\uff0c\u201c\u4e5d\u6b4c\u201d\u5b58\u5728\u7684\u4e0d\u8db3\u8fd8\u5f88\u591a\uff0c\u9700\u8981\u6301\u7eed\u6539\u8fdb\u3002\u4e3a\u4e86\u63a8\u52a8\u8bd7\u6b4c\u81ea\u52a8\u5199\u4f5c\u7814\u7a76\uff0c\u201c\u4e5d\u6b4c\u201d\u6700\u8fd1\u5728github \u4e0a\u5f00\u653e\u4e86\u76f8\u5173\u6e90\u4ee3\u7801\u53ca\u6570\u636e\u96c6\uff0c\u53c2\u89c1&nbsp;<a href=\"https:\/\/github.com\/THUNLP-AIPoet\">https:\/\/github.com\/THUNLP-AIPoet<\/a>&nbsp;\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><span style=\"color:#0272a2\" class=\"has-inline-color\"><strong>\u56db\u3001\u7ed3\u8bed<\/strong><\/span><\/p>\n\n\n\n<p>\u8868\u9762\u4e0a\u770b\uff0c\u4e2d\u56fd\u53e4\u5178\u8bd7\u6b4c\u81ea\u52a8\u5199\u4f5c\u662f\u4e00\u4e2a\u975e\u5e38\u6c11\u65cf\u5316\u7684\u7814\u7a76\u8bfe\u9898\uff0c\u4f46\u5176\u6240\u6d89\u53ca\u7684\u4f17\u591a\u7814\u7a76\u95ee\u9898\u4e0d\u4ec5\u5177\u6709\u524d\u6cbf\u6027\uff0c\u540c\u65f6\u5177\u6709\u5f88\u5f3a\u7684\u5b66\u672f\u901a\u7528\u6027\uff0c\u5728\u6587\u5316\u521b\u610f\u4ea7\u4e1a\u548c\u667a\u80fd\u6559\u80b2\u4ea7\u4e1a\u65b9\u9762\u5177\u6709\u5f88\u597d\u7684\u5e94\u7528\u524d\u666f\u3002\u5176\u7814\u7a76\u8fd8\u53ea\u662f\u521a\u521a\u5f00\u4e86\u4e00\u4e2a\u5934\uff0c\u5bf9\u4e0d\u5c11\u95ee\u9898\u7684\u63a2\u7d22\u53ea\u662f\u873b\u8713\u70b9\u6c34\uff0c\u9762\u4e34\u6df1\u523b\u7684\u5b66\u672f\u6311\u6218\u3002\u6211\u4eec\u8981\u4e0d\u65ad\u6df1\u5316\u76f8\u5173\u7814\u7a76\uff0c\u6301\u7eed\u52aa\u529b\uff0c\u4f7f\u4e2d\u56fd\u53e4\u5178\u8bd7\u6b4c\u8fd9\u4e2a\u6587\u5316\u4f20\u7edf\u7470\u5b9d\u5728\u65b0\u65f6\u4ee3\u901a\u8fc7\u4e0e\u4eba\u5de5\u667a\u80fd\u7684\u7ed3\u5408\u7115\u53d1\u65b0\u7684\u9752\u6625\uff08\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u4eba\u5de5\u667a\u80fd\u5199\u8bd7\u7cfb\u7edf\u7684\u67d0\u79cd\u53d8\u5f62\uff0c\u5728\u4e92\u8054\u7f51\u4e0a\u8f85\u52a9\u5343\u5343\u4e07\u4e07\u7684\u4eba\u5b66\u597d\u3001\u5199\u597d\u4e2d\u56fd\u53e4\u5178\u8bd7\u6b4c\uff09\u3002\u672c\u6587\u4e3a\u56fd\u5bb6\u793e\u4f1a\u79d1\u5b66\u57fa\u91d1\u91cd\u5927\u9879\u76ee\u201c\u57fa\u4e8e\u5927\u6570\u636e\u6280\u672f\u7684\u53e4\u4ee3\u6587\u5b66\u7ecf\u5178\u6587\u672c\u5206\u6790\u4e0e\u7814\u7a76\u201d\uff0818ZDA238\uff09\u9636\u6bb5\u6027\u6210\u679c\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><strong><span style=\"color:#0272a2\" class=\"has-inline-color\">\u6ce8\u91ca\uff1a<\/span><\/strong><\/p>\n\n\n\n<p class=\"has-small-font-size\">[1]&nbsp;Katta G. Murty and Santosh N. Kabadi, \u201cSome Np-Complete Problems in Quadratic and Nonlinear Programming,\u201d&nbsp;<em>Mathematical programming<\/em>, vol. 39, no. 2, 1987, pp. 117\u2013129.<\/p>\n\n\n\n<p class=\"has-small-font-size\">[2]&nbsp;S. Colton and G. A. Wiggins,\u201c Computational Creativity: the Final Frontier? \u201d<em>Frontiers in Artificial Intelligence and Applications, Montpellier<\/em>, vol. 242, 2012, pp. 21\u201326.<\/p>\n\n\n\n<p class=\"has-small-font-size\">[3]&nbsp;Sidi Lu, Yaoming Zhu, Weinan Zhang, Jun Wang, Yong Yu, \u201cNeural Text Generation: Past, Present and Beyond,\u201d arXiv.org &gt; cs &gt; arXiv:1803.07133, 2018.<\/p>\n\n\n\n<p class=\"has-small-font-size\">[4]&nbsp;Pablo Gerv\u00e1s,&nbsp;<em>An Expert System for the Composition of Formal Spanish Poetry<\/em>, London: Springer, 2001,pp. 181\u2013 188.<\/p>\n\n\n\n<p class=\"has-small-font-size\">[5] Xiaofeng Wu, Naoko Tosa and Ryohei Nakatsu, \u201cNew Hitch Haiku: An Interactive Renku Poem Composition Supporting Tool Applied for Sightseeing Navigation System,\u201d in Proceedings of the 8th International Conference on Entertainment Computing, Paris, 2009, pp. 191-196.<\/p>\n\n\n\n<p class=\"has-small-font-size\">[6]&nbsp;Robert P. Levy, \u201cA Computational Model of Poetic Creativity with Neural Network as Measure of Adaptive Fitness,\u201d in Proceedings of the ICCBR-01 Workshop on Creative Systems, 2001; Hisar Maruli Manurung, \u201cAn Evolutionary Algorithm Approach to Poetry Generation,\u201d PhD Thesis, University of Edinburgh, 2003.<\/p>\n\n\n\n<p class=\"has-small-font-size\">[7]&nbsp;\u5468\u660c\u4e50\u3001\u6e38\u7ef4\u3001\u4e01\u6653\u541b\uff1a\u300a\u4e00\u79cd\u5b8b\u8bcd\u81ea\u52a8\u751f\u6210\u7684\u9057\u4f20\u7b97\u6cd5\u53ca\u5176\u673a\u5668\u5b9e\u73b0\u300b\uff0c\u300a\u8f6f\u4ef6\u5b66\u62a5\u300b2010\u5e74\u7b2c3\u671f\u3002<\/p>\n\n\n\n<p class=\"has-small-font-size\">[8]&nbsp;Rui Yan, Han Jiang, Mirella Lapata, ShouDe Lin, Xueqiang Lv and Xiaoming Li, \u201c\u2018I, Poet\u2019: Automatic Chinese Poetry Composition Through a Generative Summarization Framework under Constrained Optimization,\u201d in Proceedings of the 23rd International Joint Conference on Arti\ufb01cial Intelligence, Beijing, 2013, pp. 2197-2203.<\/p>\n\n\n\n<p class=\"has-small-font-size\">[9]&nbsp;Long Jiang and Ming Zhou, \u201cGenerating Chinese Couplets Using A Statistical MT Approach,\u201d in Proceedings of the 22nd International Conference, 2008, pp. 377-384.<\/p>\n\n\n\n<p class=\"has-small-font-size\">[10]&nbsp;Jing He, Ming Zhou and Long Jiang, \u201cGenerating Chinese Classical Poems with Statistical Machine Translation Models,\u201d in Proceedings of the 26th AAAI Conference on Arti\ufb01cial Intelligence, Toronto, 2012, pp. 1650-1656.<\/p>\n\n\n\n<p class=\"has-small-font-size\">[11]&nbsp;Ruli Manurung, Graeme Ritchie and Henry Thompson, \u201cUsing Genetic Algorithms to Create Meaningful Poetic Text,\u201d&nbsp;<em>Journal of Experimental Theoretical Arti<\/em><em>\ufb01<\/em><em>cial Intelligence<\/em>, vol. 24, no. 1, 2012, pp. 43-64.<\/p>\n\n\n\n<p class=\"has-small-font-size\">[12]&nbsp;Xingxing Zhang and Mirella Lapata, \u201cChinese Poetry Generation with Recurrent Neural Networks,\u201d in Proceedings of the Conference on Empirical Methods in Natural Language Processing, Doha, 2014, pp. 670-680.<\/p>\n\n\n\n<p class=\"has-small-font-size\">[13]&nbsp;Rui Yan, \u201cI, Poet: Automatic Poetry Composition Through Recurrent Neural Networks with Iterative Polishing Schema,\u201d in Proceedings of the 25th International Joint Conference on Arti\ufb01cial Intelligence, New York, 2016, pp. 2238-2244.<\/p>\n\n\n\n<p class=\"has-small-font-size\">[14]&nbsp;Qixin Wang, Tianyi Luo, Dong Wang and Chao Xing, \u201cChinese Song Iambics Generation with Neural Attention-Based Model,\u201d in Proceedings of the 25th International Joint Conference on Arti\ufb01cial Intelligence, New York, 2016, pp. 2943-2949.<\/p>\n\n\n\n<p class=\"has-small-font-size\">[15]&nbsp;Xiaoyuan Yi, Ruoyu Li and Maosong Sun, \u201cGenerating Chinese Classical Poems with RNN Encoder-Decoder,\u201d in Proceedings of the 16th Chinese Computational Linguistics, Nanjing, 2017, pp. 211-223; Xiaoyuan Yi, Ruoyu Li and Maosong Sun, \u201cChinese Poetry Generation with A Salient-Clue Mechanism,\u201d in Proceedings of the SIGNLL Conference on Computational Natural Language Learning, Brussels, 2018, pp. 241-250.<\/p>\n\n\n\n<p class=\"has-small-font-size\">[16]&nbsp;Dzmitry Bahdanau, KyungHyun Cho and Yoshua Bengio, \u201cNeural Machine Translation by Jointly Learning to Align and Translate,\u201d in Proceedings of the International Conference on Learning Representations, San Diego, 2015.<\/p>\n\n\n\n<p class=\"has-small-font-size\">[17]&nbsp;Jiyuan Zhang, Yang Feng, Dong Wang, Yang Wang, Andrew Abel, Shiyue Zhang and Andi Zhang, \u201cFlexible and Creative Chinese Poetry Generation Using Neural Memory,\u201d in Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017 , pp. 1364-1373.<\/p>\n\n\n\n<p class=\"has-small-font-size\">[18]&nbsp;Xiaoyuan Yi, Maosong Sun, Ruoyu Li and Zonghan Yang, \u201cChinese poetry Generation with A Working Memory Model,\u201d in Proceedings of the 27th International Joint Conference on Arti\ufb01cial Intelligence, Stockholm, 2018, pp. 4553-4559.<\/p>\n\n\n\n<p class=\"has-small-font-size\">[19]&nbsp;Zhe Wang, Wei He, Hua Wu and Haiyang Wu, Wei Li, Haifeng Wang, Enhong Chen, \u201cChinese Poetry Generation with Planning Based Neural Network, \u201din Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, Osaka, 2016, pp. 1051-1060.<\/p>\n\n\n\n<p class=\"has-small-font-size\">[20]&nbsp;Marjan Ghazvininejad, Xing Shi, Yejin Cho&nbsp; and Kevin Knight, \u201cGenerating Topical Poetry,\u201d in Proceedings of Conference on Empirical Methods in NaturalLanguage Processing, Texas, 2016, pp. 1183\u20131191; Marjan Ghazvininejad, Xing Shi,Jay Priyadarshi and Kevin Knight, \u201cHafez: An interactive poetry generationsystem\uff0c\u201din Proceedings of ACL 2017, System Demonstrations, pp. 43\u201348, Association for Computational Linguistics, (ACL 2017 best demo paper), 2017.<\/p>\n\n\n\n<p class=\"has-small-font-size\">[21]&nbsp;Cheng Yang, Maosong Sun, Xiaoyuan Yi and Wenhao Li, \u201cStylistic Chinese Poetry Generation via Unsupervised Style Disentanglement,\u201d in Proceedings of Conference on Empirical Methods in Natural Language Processing, Brussels, 2018, pp. 3960-3969.<\/p>\n\n\n\n<p class=\"has-small-font-size\">[22]&nbsp;Xiaopeng Yang, Xiaowen Lin, Shunda Suo and Ming Li, \u201cGenerating Thematic Chinese Poetry Using Conditional Variational Autoencoders with Hybrid Decoders,\u201d in Proceedings of the 27th International Joint Conference on Arti\ufb01cial Intelligence, Stockholm, 2018, pp. 4539-4545.<\/p>\n\n\n\n<p class=\"has-small-font-size\">[23]&nbsp;Juntao Li, Yan Song, Haisong Zhang, Dongmin Chen, Shuming Shi, Dongyan Zhao and Rui Yan, \u201cGenerating Classical Chinese Poems via Conditional Variational Autoencoder and Adversarial Training,\u201d in Proceedings of the Conference on Empirical Methods in Natural Language Processing, Brussels, 2018, pp. 3890-3900.<\/p>\n\n\n\n<p class=\"has-small-font-size\">[24]&nbsp;Xiaoyuan Yi, Maosong Sun, Ruoyu Li and Wenhao Li, \u201cAutomatic Poetry Generation with Mutual Reinforcement Learning,\u201d in Proceedings of the Conference on Empirical Methods in Natural Language Processing, Brussels, 2018, pp. 3143-3153.<\/p>\n\n\n\n<p class=\"has-text-align-right\">                                                                   <\/p>\n\n\n\n<p class=\"has-text-align-right\">\u7f16 \u8f91&nbsp; 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