{"id":4128,"date":"2022-07-14T22:51:17","date_gmt":"2022-07-14T14:51:17","guid":{"rendered":"http:\/\/www.sniper97.cn\/?p=4128"},"modified":"2022-07-14T22:51:17","modified_gmt":"2022-07-14T14:51:17","slug":"%e3%80%90acl-2022%e3%80%91a-model-agnostic-data-manipulation-method-for-persona-based-dialogue-generation","status":"publish","type":"post","link":"http:\/\/www.sniper97.cn\/index.php\/note\/deep-learning\/paper-deep-learning\/4128\/","title":{"rendered":"\u3010ACL 2022\u3011A Model-Agnostic Data Manipulation Method for Persona-based Dialogue Generation"},"content":{"rendered":"\n

<\u6570\u636e\u589e\u5f3a>\u3001 <\u57fa\u4e8e\u89d2\u8272\u7684\u5bf9\u8bdd\u7cfb\u7edf>\u3001 <GPT-2> \u3001 <Transformer> <\/p>\n\n\n

\u8bba\u6587\u89e3\u8bfb\u4ec5\u4ee3\u8868\u4e2a\u4eba\u89c2\u70b9\uff0c\u624d\u758f\u5b66\u6d45\uff0c\u5982\u6709\u9519\u8bef\u6b22\u8fce\u6307\u6b63\uff0c\u672a\u7ecf\u6388\u6743\u7981\u6b62\u8f6c\u8f7d\u3002<\/p>\n\n\n

\u8bba\u6587\u539f\u6587\uff1ahttp:\/\/arxiv.org\/abs\/2204.09867<\/a><\/p>\n\n\n

\u6458\u8981<\/h2>\n\n\n

\u6784\u5efa\u57fa\u4e8e\u89d2\u8272\u7684\u5bf9\u8bdd\u673a\u5668\u4eba\u7684\u6709\u4e24\u4e2a\u96be\u70b9\uff0c\u4e00\u4e2a\u662f\u5e76\u6ca1\u6709\u5f88\u591a\u6570\u636e\u96c6\uff0c\u5e76\u4e14\u6269\u5145\u8fd9\u4e9b\u6570\u636e\u96c6\u7684\u4ee3\u4ef7\u662f\u6602\u8d35\u7684\u3002\u4e00\u4e2a\u662f\u6b64\u4efb\u52a1\u76f8\u6bd4\u666e\u901a\u7684\u5bf9\u8bdd\u6570\u636e\u4f1a\u66f4\u52a0\u96be\u4ee5\u5b66\u4e60\u3002<\/p>\n\n\n

\"\"
\u57fa\u4e8e\u89d2\u8272\u7684\u5bf9\u8bdd\u7cfb\u7edf\u793a\u610f\u56fe<\/figcaption><\/figure><\/div>\n\n\n

\u56e0\u6b64\uff0c \u672c\u6587\u4ecb\u7ecd\u4e86\u4e00\u4e2a\u65b0\u578b\u7684\u6570\u636e\u589e\u5f3a\u65b9\u5f0f\u3002<\/p>\n\n\n

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  • \u6570\u636e\u5b66\u4e60<\/strong>\uff1a\u9996\u5148\u4f7f\u7528\u84b8\u998f\u5904\u7406\u540e\u7684\u6570\u636e\u5148\u8bad\u7ec3\u57fa\u7840\u6a21\u578b\uff0c\u968f\u540e\u4f7f\u7528\u66f4\u52a0\u96be\u7684\u539f\u59cb\u6570\u636e\u8bad\u7ec3\u6a21\u578b <\/li><\/ul>\n\n\n

    \u8fd9\u4e9b\u65b9\u5f0f\u53ef\u4ee5\u901a\u8fc7\u6269\u5145\u5df2\u6709\u7684\u6570\u636e\u96c6\uff0c\u5728\u591a\u4e2a\u57fa\u7840\u6a21\u578b\u4e0a\u83b7\u5f97\u4e86\u8f83\u4e3a\u4f18\u79c0\u7684\u6548\u679c\u3002 <\/p>\n\n\n

    \u65b9\u6cd5<\/h2>\n\n\n

    \u9996\u5148\u5b9a\u4e49\u6570\u636e\u96c6\uff0c\u5bf9\u4e8e\u57fa\u4e8e\u89d2\u8272\u7684\u5bf9\u8bdd\u6570\u636e\u96c6\uff0c\u5305\u542bL\u4e2a\u89d2\u8272\u63cf\u8ff0\u53e5\u5b50P=\uff5bP1\uff0cP2\uff0c…\uff0cPL\uff5d\uff0c\u5bf9\u4e8e\u5bf9\u8bdd\u5386\u53f2H=\uff5bH1\uff0cH2\uff0c…\uff0cHM\uff5d\uff0c\u5305\u542bM\u8bba\u5bf9\u8bdd\u4ee5\u53ca\u5f53\u524d\u7684Ground True\uff08GT\uff09\u56de\u590dR\u3002<\/p>\n\n\n

    \u9700\u8981\u6ce8\u610f\u7684\u662f\uff0cL\u548cM\u5e76\u4e0d\u4e00\u5b9a\u76f8\u7b49\u3002<\/p>\n\n\n

    \u7406\u7531\u5982Warm up\u4e00\u6837\uff0c\u5f88\u591a\u5b9e\u9a8c\u5df2\u7ecf\u8bc1\u660e\uff0c\u5728\u521d\u671f\u5bf9\u4e8eCV\u7684\u7814\u7a76\u4e2d\u5df2\u7ecf\u53d1\u73b0\uff0c\u6a21\u578b\u524d\u671f\u5b66\u4e60\u7531\u4e8ebatch size\u8bbe\u7f6e\u6216\u8005\u5176\u4ed6\u4e00\u4e9b\u95ee\u9898\u5bfc\u81f4\u6a21\u578b\u5b66\u4e60\u65b9\u5411\u9519\u8bef\u5728\u540e\u671f\u662f\u5f88\u96be\u88ab\u6539\u6b63\u7684\u3002\u800c\u5728NLP\u65b9\u9762\uff0c\u4e5f\u6709\u5f88\u591a\u7814\u7a76\u8868\u660e\u4e00\u4e9b\u810f\u6570\u636e\u56de\u6253\u4e71attention\u7684\u5206\u5e03\uff0c\u800c\u8fd9\u4e9b\u5206\u5e03\u5e76\u4e0d\u5bb9\u6613\u88ab\u4fee\u6b63\u3002\u800c\u5bf9\u4e8e\u57fa\u4e8e\u5bf9\u89d2\u8272\u7684\u5bf9\u8bdd\u751f\u6210\u8fd9\u4e00\u96be\u9898\uff0c\u672c\u6587\u5c1d\u8bd5\u4ece\u7b80\u5982\u96be\uff0c\u5148\u4ece\u7b80\u5355\u5730\u6570\u636e\u5165\u624b\uff0c\u8ba9\u6a21\u578b\u5148\u83b7\u53d6\u5230\u5927\u6982\u6b63\u786e\u7684attention\u5206\u5e03\u3002<\/strong><\/p>\n\n\n

    \u6570\u636e\u84b8\u998f<\/h3>\n\n\n

    \u6570\u636e\u84b8\u998f\u5206\u4e3a\u89d2\u8272\u5bf9\u8bdd\u84b8\u998f\u548c\u5bf9\u8bdd\u5386\u53f2\u84b8\u998f\u3002<\/p>\n\n\n

    \u89d2\u8272\u5bf9\u8bdd\u84b8\u998f<\/h4>\n\n\n

    \u901a\u8fc7\u4f7f\u7528NLI\uff08\u81ea\u7136\u8bed\u8a00\u63a8\u7406\uff09\u80fd\u529b\uff0c\u5224\u65ad\u6bcf\u4e00\u4e2a\u89d2\u8272\u7684\u63cf\u8ff0\u53e5\u5b50\u548c\u6700\u7ec8\u7684\u56de\u590dR\u662f\u5426\u76f8\u5173\uff0c\u4ece\u800c\u53bb\u9664\u6389\u4e00\u4e9b\u5197\u4f59\u7684\u89d2\u8272\u548c\u5bf9\u8bdd\u3002\u4f7f\u7528\u7684\u662f\u5728DialogueNLI\u6570\u636e\u96c6acc\u8fbe\u5230 90.8%\u7684ROBERTa\u6765\u5b8c\u6210\u3002 <\/p>\n\n\n

    \u5bf9\u8bdd\u5386\u53f2\u84b8\u998f<\/h4>\n\n\n

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    \u6570\u636e\u591a\u6837\u6027<\/h3>\n\n\n

    \u7531\u4e8e\u84b8\u998f\u540e\u7684\u6570\u636e\u96c6\u53ea\u5305\u62ec\u5927\u698240%\u7684\u539f\u59cb\u6570\u636e\u96c6\u548c4.5k\u4e2a\u89d2\u8272\u4fe1\u606f\u3002\u540c\u65f6\u7531\u4e8e\u84b8\u998f\u540e\u7684\u7528\u6237\u89d2\u8272\u548c\u5bf9\u8bdd\u9ad8\u5ea6\u4f9d\u8d56\u4e8eGround True\u7684\u56de\u590d\uff08\u56e0\u4e3a\u662f\u6839\u636e\u4e0eR\u7684NLI\u76f8\u5173\u6027\u83b7\u53d6\u7684\uff09\uff0c\u56e0\u6b64\u5728\u8fd9\u4e2a\u57fa\u7840\u4e0a\u8fdb\u884c\u6570\u636e\u591a\u6837\u6027\u7684\u6269\u5c55\u3002 <\/p>\n\n\n

    \u89d2\u8272\u591a\u6837\u6027\u7f16\u8f91<\/h4>\n\n\n

    \u91c7\u7528token\u7f16\u8f91\u548c\u77ed\u8bed\u7f16\u8f91\uff0c\u5206\u522b\u901a\u8fc7\u968f\u673amask\u6389 Ground True \u4fe1\u606f\u968f\u540e\u4f7f\u7528Bert\u9884\u6d4b\u8fd9\u4e9btoken\uff0c\u548c\u968f\u673a\u53bb\u6389\u7ed3\u5c3e\u7684\u4e00\u6bb5\u957f\u5ea6\u4f7f\u7528GPT-2\u6765\u6062\u590d\u8fd9\u4e9b\u6bb5\u843d\u3002 <\/p>\n\n\n

    \u540c\u65f6\uff0c\u4e3a\u4e86\u9a8c\u8bc1GPT\u751f\u6210\u6587\u672c\u7684\u6d41\u7545\u6027\u4ee5\u53ca\u548c\u539f\u6587\u7684\uff0c\u672c\u6587\u8fd8\u662f\u7528\u4e86\u4e00\u4e2a\u65b0\u7684\u6307\u6807\uff1a<\/p>\n\n\n

    \"\"<\/figure><\/div>\n\n\n

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    \u56de\u590d\u591a\u6837\u6027\u7f16\u8f91<\/h4>\n\n\n

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    \u4e00\u79cd\u4f9d\u7136\u662ftoken\u7ea7\u522b\u7684\uff0c\u901a\u8fc7\u7b80\u5355\u7684\u91cd\u53e0\u8bcd\u66ff\u6362\uff08\u6bd4\u5982\u989c\u8272\u66ff\u6362\u7b49\uff09\u6765\u751f\u6210\u65b0\u7684\u56de\u590d\u3002
    \u7b2c\u4e8c\u79cd\u662f\u4f7f\u7528\u5728\u84b8\u998f\u540e\u7684\u5c0f\u6570\u636e\u96c6\u4e0a\u5fae\u8c03\u8fc7\u7684GPT-2\u6a21\u578b\u6765\u5bf9\u56de\u590d\u8fdb\u884c\u751f\u6210\u3002 <\/p>\n\n\n

    \u5bf9\u8bdd\u5386\u53f2\u6269\u5145<\/h4>\n\n\n

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    <\/div>\n\n\n

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    \"\"<\/figure><\/div>\n\n\n

    \u6570\u636e\u8bad\u7ec3<\/h3>\n\n\n

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    \u5b9e\u9a8c<\/h2>\n\n\n

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    \u5bf9\u6bd4\u4e86Transformer\u7684encoder-decoder\u7ed3\u6784\u548cGPT-2\u3002\u5bf9\u4e8eTransformer\u548cGPT2\u7684\u5fae\u8c03\uff0c\u91c7\u7528\u62fc\u63a5\u89d2\u8272\u4fe1\u606f\u548c\u5bf9\u8bdd\u5386\u53f2\u3002\u540c\u65f6\u4f7f\u7528\u7279\u6b8a\u6807\u8bb0\u7b26\u6765\u533a\u5206\u4ed6\u4eec<\/p>\n\n\n

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    • PPL\uff0c\u901a\u8fc7\u8ba1\u7b97GPT2\u7684\u56f0\u60d1\u5ea6\u6765\u786e\u5b9a\u53e5\u5b50\u7684\u6d41\u7545\u7a0b\u5ea6 <\/li>
    • BERTScore\u5c31\u662f\u8ba1\u7b97\u4e24\u4e2a\u53e5\u5b50\u7684\u5c40\u5d4c\u5165\u7684cosine\u76f8\u4f3c\u5ea6\u3002\u53ef\u4ee5\u5224\u65ad\u4e24\u4e2a\u53e5\u5b50\u7684\u8bed\u4e49\u76f8\u4f3c\u6027 <\/li>
    • BLEU<\/li><\/ul>\n\n\n

      \u7ed3\u679c<\/h2>\n\n\n

      <\/p>\n\n\n

      \"\"<\/figure>\n\n\n

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      • \u6d41\u5229\u6027  <\/li>
      • \u5408\u7406\u6027 <\/li>
      • \u662f\u5426\u5305\u542b\u89d2\u8272\u4fe1\u606f <\/li><\/ul>\n\n\n

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        \u5206\u6790<\/h2>\n\n\n

        \u63d0\u51fa\u4e86\u4e09\u4e2a\u5206\u6790\u70b9\uff1a<\/p>\n\n\n

        • \u6570\u636e\u84b8\u998f\u662f\u5426\u6709\u6548\uff1f<\/li>
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        • \u5206\u9636\u6bb5\u5f0f\u7684\u8bad\u7ec3\u662f\u5426\u6709\u6548\uff1f<\/li><\/ul>\n\n\n

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          \"\"<\/figure>\n\n\n

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          <\u6570\u636e\u589e\u5f3a>\u3001 <\u57fa\u4e8e\u89d2\u8272\u7684\u5bf9\u8bdd\u7cfb\u7edf>\u3001 <GPT-2> \u3001 & […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_mi_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[29,16],"tags":[],"views":3422,"_links":{"self":[{"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/posts\/4128"}],"collection":[{"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/comments?post=4128"}],"version-history":[{"count":0,"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/posts\/4128\/revisions"}],"wp:attachment":[{"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/media?parent=4128"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/categories?post=4128"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.sniper97.cn\/index.php\/wp-json\/wp\/v2\/tags?post=4128"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}