{"id":365,"date":"2023-07-13T09:01:07","date_gmt":"2023-07-13T01:01:07","guid":{"rendered":"http:\/\/124.221.8.228\/?page_id=365"},"modified":"2023-07-13T11:10:14","modified_gmt":"2023-07-13T03:10:14","slug":"%e8%87%aa%e7%84%b6%e8%af%ad%e8%a8%80%e5%a4%84%e7%90%86%e6%8a%80%e6%9c%af%e7%ae%80%e4%bb%8b","status":"publish","type":"page","link":"http:\/\/124.221.8.228\/index.php\/%e8%87%aa%e7%84%b6%e8%af%ad%e8%a8%80%e5%a4%84%e7%90%86%e6%8a%80%e6%9c%af%e7%ae%80%e4%bb%8b\/","title":{"rendered":"\u81ea\u7136\u8bed\u8a00\u5904\u7406\u6280\u672f"},"content":{"rendered":"\n<p>\u8f6c\u8f7d\u77e5\u4e4e<a rel=\"noreferrer noopener\" href=\"https:\/\/www.zhihu.com\/people\/erutan-lai\" target=\"_blank\">Erutan Lai<\/a><a rel=\"noreferrer noopener\" href=\"https:\/\/www.zhihu.com\/question\/48510028\" target=\"_blank\">\u200b<\/a>\u200b<\/p>\n\n\n\n<p>\u5317\u4eac\u5927\u5b66 \u8ba1\u7b97\u673a\u5e94\u7528\u6280\u672f\u535a\u58eb<\/p>\n\n\n\n<p>\u8fd9\u7bc7\u6587\u7ae0\u4e3b\u8981\u53c2\u8003\u4e86\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u7684\u7533\u8bf7\u4ee3\u7801\uff0c\u4ee5\u53caACL 2023\u7684\u6295\u7a3f\u9886\u57df\u5206\u7c7b\uff0c\u8c08\u8c08\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5728\u4eba\u5de5\u667a\u80fd\u4e2d\u7684\u4f4d\u7f6e\uff0c\u4ee5\u53ca\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u3002\u5f53\u7136\uff0c\u758f\u6f0f\u5728\u6240\u96be\u514d\uff0c\u6bd5\u7adf\uff0c\u81ea\u7136\u8bed\u8a00\u5904\u7406\u8fd9\u4e2a\u9898\u76ee\u592a\u5927\u4e86\u3002<\/p>\n\n\n\n<p>\u4e0d\u4e86\u89e3\u4eba\u5de5\u667a\u80fd\u548c\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\uff0c\u53ef\u4ee5\u8bfb\u8fd9\u7bc7\u6587\u7ae0\u6765\u4e86\u89e3\u4e0b\u4eba\u5de5\u667a\u80fd\u548c\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5230\u5e95\u5728\u505a 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\u4ea4\u53c9\u5b66\u79d1\u4e2d\u7684\u4fe1\u606f\u79d1\u5b66\u3002<\/p>\n\n\n\n<p>\u4eba\u5de5\u667a\u80fd\u4e0b\u520610\u4e2a\u4e8c\u7ea7\u5206\u7c7b\u4ee3\u7801\uff0c\u5206\u522b\u4e3a\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>2\u4e2a\u504f\u57fa\u7840\u7406\u8bba\u7684\uff1a\u4eba\u5de5\u667a\u80fd\u57fa\u7840\uff08F0601\uff09\u4e0e \u590d\u6742\u6027\u79d1\u5b66\u4e0e\u4eba\u5de5\u667a\u80fd\u7406\u8bba(F0602\uff09\uff0c\u4e3b\u8981\u7814\u7a76\u4e00\u4e9b\u57fa\u7840\u7406\u8bba\uff0c\u5305\u62ec\u903b\u8f91\u63a8\u7406\u3001\u4e0d\u786e\u5b9a\u6027\u3001\u535a\u5f08\u7406\u8bba\u3001\u590d\u6742\u7cfb\u7edf\u4f18\u5316\u4e0e\u4eff\u771f\u3001\u6807\u6ce8\u65b9\u6cd5\u7b49\u3002<\/li>\n\n\n\n<li>5\u4e2a\u4e0d\u540c\u7684\u5e94\u7528\u89d2\u5ea6\u7684\uff0c\u5305\u62ec\uff1a\n<ul class=\"wp-block-list\">\n<li>F0603 \u673a\u5668\u5b66\u4e60\uff1a\u901a\u7528\u7684\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\uff0c\u5982\u76d1\u7763\\\u5f31\u76d1\u7763\\\u65e0\u76d1\u7763\u5b66\u4e60\uff0c\u96c6\u6210\u5b66\u4e60\uff0c\u5f3a\u5316\u5b66\u4e60\uff0c\u6df1\u5ea6\u5b66\u4e60\u7406\u8bba\u7b49\u3002<\/li>\n\n\n\n<li>F0604 \u673a\u5668\u611f\u77e5\u4e0e\u673a\u5668\u89c6\u89c9\uff1a\u8ba1\u7b97\u673a\u89c6\u89c9\u76f8\u5173\uff0c\u5305\u62ec\u56fe\u50cf\u7684\u8bc6\u522b\u4e0e\u7406\u89e3\uff0c\u591a\u6a21\u6001\uff0c\u667a\u80fd\u4eba\u673a\u4ea4\u4e92\u7b49\u3002<\/li>\n\n\n\n<li>F0605 \u6a21\u5f0f\u8bc6\u522b\u4e0e\u6570\u636e\u6316\u6398\uff1a\u8bc6\u522b\u4e0e\u6316\u6398\u89c4\u5f8b\uff0c\u4e3b\u8981\u5305\u62ec\u6587\u5b57\u3001\u56fe\u50cf\u3001\u8bed\u97f3\u3001\u751f\u7269\u7279\u5f81\u7684\u8bc6\u522b\uff0c\u4ee5\u53ca\u6570\u636e\u6316\u6398\u3001\u6a21\u5f0f\u6316\u6398\u7b49\u3002<\/li>\n\n\n\n<li>F0606&nbsp;<strong>\u81ea\u7136\u8bed\u8a00\u5904\u7406<\/strong>\uff1a\u8bed\u8a00\u7406\u89e3\u3001\u8ba4\u77e5\u4e0e\u751f\u6210\uff0c\u4e3b\u8981\u5305\u62ec\u6587\u672c\u751f\u6210\u3001\u673a\u5668\u7ffb\u8bd1\u3001\u4fe1\u606f\u62bd\u53d6\u3001\u4eba\u673a\u5bf9\u8bdd\u4e0e\u95ee\u7b54\uff0c\u60c5\u611f\u8ba1\u7b97\u7b49\u3002<\/li>\n\n\n\n<li>F0607 \u77e5\u8bc6\u8868\u793a\u4e0e\u5904\u7406\uff1a\u4fa7\u91cd\u4e8e\u77e5\u8bc6\u7684\u5904\u7406\uff0c\u5305\u62ec\u77e5\u8bc6\u8868\u793a\u3001\u56fe\u8c31\u6784\u5efa\u3001\u77e5\u8bc6\u6f14\u5316\u3001\u81ea\u52a8\u63a8\u7406\u3001\u4e13\u5bb6\u7cfb\u7edf\u7b49\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>3\u4e2a\u4ea4\u53c9\u5b66\u79d1\u7684\uff0c\u5305\u62ec\uff1a\u667a\u80fd\u7cfb\u7edf\u4e0e\u4eba\u5de5\u667a\u80fd\u5b89\u5168\uff08F0608 \u7cfb\u7edf\u3001\u5e73\u53f0\u3001\u5b89\u5168\u4e0e\u53ef\u4fe1\u6027\uff09\uff0c\u8ba4\u77e5\u4e0e\u795e\u7ecf\u79d1\u5b66\u542f\u53d1\u7684\u4eba\u5de5\u667a\u200d\u80fd\uff08F0609 \u5f3a\u8c03\u8ba4\u77e5\u79d1\u5b66\u5e26\u6765\u7684\u542f\u53d1\uff09\uff0c\u4ea4\u53c9\u5b66\u79d1\u4e2d\u7684\u4eba\u5de5\u667a\u80fd\u95ee\u9898\uff08F0610\uff0c\u5176\u5b83\u4ea4\u53c9\u9886\u57df\uff0c\u5982\u4fe1\u606f\u79d1\u5b66\u3001\u7406\u3001\u5de5\u3001\u751f\u7269\u3001\u793e\u4f1a\u3001\u519c\u3001\u533b\u5b66\u7b49\uff09<\/li>\n<\/ul>\n\n\n\n<p>\u7531\u6b64\u53ef\u89c1\uff0c\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7814\u7a76\u7684\u662f\u9488\u5bf9\u8bed\u8a00\u7684\u667a\u80fd\u3002\u81ea\u7136\u8bed\u8a00\u5904\u7406\u66f4\u591a\u5173\u6ce8\u6587\u5b57\u3002\u8bed\u97f3\u7684\u8bc6\u522b\u4e0e\u5408\u6210\u64e6\u8fb9\uff0c\u4f46\u66f4\u504f\u5411\u6a21\u5f0f\u8bc6\u522b\uff08F0605\uff09\uff0c\u5982\u679c\u6d89\u53ca\u66f4\u591a\u7684\u8ba4\u77e5\u4e0e\u7406\u89e3\u4e5f\u7b97\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3002\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4e0d\u592a\u5173\u6ce8\u7b80\u5355\u7684\u6587\u5b57\u95f4\u7684\u6a21\u5f0f\u6316\u6398\uff08F0605\uff09\u3002\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5173\u6ce8\u5b57\u8bcd\u53e5\u7684\u8bed\u4e49\u3001\u4fe1\u606f\u62bd\u53d6\u3001\u6587\u672c\u751f\u6210\u3001\u4eba\u673a\u4ea4\u4e92\uff08\u95ee\u7b54\u3001\u5bf9\u8bdd\uff09\u3001\u793e\u4ea4\u5a92\u4f53\u5206\u6790\u7b49\u3002<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><img decoding=\"async\" src=\"https:\/\/pic4.zhimg.com\/80\/v2-ef22374ef789d9f19614d7793a6a9a17_720w.webp\" alt=\"\"\/><\/figure>\n<\/div>\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h_605412919_1\">\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u4e3b\u8981\u7814\u7a76\u65b9\u5411<\/h2>\n\n\n\n<p>\u4e0a\u6587\u63d0\u5230\uff0c\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u4e2d\uff0c\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5305\u62ec1\u4e2a2\u7ea7\u6807\u9898\uff0c10\u4e2a\u5177\u4f53\u65b9\u5411\u3002\u800c\u50cf\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u9876\u7ea7\u4f1a\u8baeACL\u7684\u6295\u7a3f\u65b9\u5411\u4e2d\uff0c\u81ea\u7136\u8bed\u8a00\u5904\u7406\u88ab\u5206\u4e3a\u4e8626\u4e2a\u9886\u57df315\u4e2a\u65b9\u5411\u3002<\/p>\n\n\n\n<p><a target=\"_blank\" href=\"https:\/\/zhuanlan.zhihu.com\/p\/598665193\" rel=\"noreferrer noopener\">\u5e78\u798f\u597d\u4e0d\u5bb9\u6613\uff1a\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u7814\u7a76\u5b50\u65b9\u5411\u2014\u2014ACL 2023\u9886\u57df\u6c47\u603b93 \u8d5e\u540c \u00b7 3 \u8bc4\u8bba\u6587\u7ae0<\/a><\/p>\n\n\n\n<p>\u4ee5\u4e0b\uff0c\u6211\u8bd5\u56fe\u5c06ACL\u768425\u4e2a\u9886\u57df\uff08\u9664\u4e86Theme Track\uff09\u5212\u5206\u5230\u56fd\u81ea\u7136\u768410\u4e2a\u9886\u57df\u4e2d\uff0c\u8c08\u4e00\u4e0b\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4e3b\u8981\u5728\u505a\u4ec0\u4e48\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h_605412919_2\">\u4e00\u3001\u81ea\u7136\u8bed\u8a00\u5904\u7406\u57fa\u7840\u7406\u8bba\u4e0e\u65b9\u6cd5<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\uff08\u5341\u4e8c\uff09\u8bed\u8a00\u5b66\u7406\u8bba\u3001\u8ba4\u77e5\u5efa\u6a21\u548c\u5fc3\u7406\u8bed\u8a00\u5b66 (Linguistic Theories, Cognitive Modeling and Psycholinguistics)<\/li>\n<\/ul>\n\n\n\n<p>\u8fd9\u9879\u4e2d\uff0c\u8ba4\u77e5\u5efa\u6a21\u548c\u5fc3\u7406\u8bed\u8a00\u5b66\uff0c\u5e94\u8be5\u662f\u5c5e\u4e8e\u201c\u81ea\u7136\u8bed\u8a00\u8ba4\u77e5\u3001\u7406\u89e3\u4e0e\u63a8\u7406\u201d\u7684\u3002<\/p>\n\n\n\n<p>\u5176\u5b9e\u6211\u89c9\u5f97\u8fd9\u662f\u4e2a\u53e3\u888b\u5206\u7c7b\uff0c\u53ea\u8981\u662f\u6bd4\u8f83\u504f\u201c\u901a\u7528\u201d\u7684\u201c\u7406\u8bba\u201d\u90fd\u53ef\u4ee5\u653e\u5230\u8fd9\u4e2a\u5206\u7c7b\u3002<\/p>\n\n\n\n<p>\u7136\u800c\u633a\u96be\u627e\u201c\u901a\u7528\u201d\u7684\u7406\u8bba\u7684\u3002\u5f88\u591a\u7406\u8bba\u6211\u611f\u89c9\u66f4\u5e94\u8be5\u5206\u5230\u5404\u81ea\u7684\u573a\u666f\u4e2d\uff0c\u6bd4\u5982\u8bcd\u8868\u793a\u4e0e\u53e5\u5b50\u5efa\u6a21\u76f8\u5173\u7684\u5e94\u8be5\u653e\u5230\u201c\u81ea\u7136\u8bed\u8a00\u8ba4\u77e5\u3001\u7406\u89e3\u4e0e\u63a8\u7406\u201d\uff0c\u9884\u8bad\u7ec3\u6a21\u578b\u7684\u7406\u8bba\u5206\u6790\u76f8\u5173\u7684\u5e94\u8be5\u6839\u636e\u5177\u4f53\u7c7b\u578b\u653e\u5230\u201c\u81ea\u7136\u8bed\u8a00\u7406\u89e3\u201d\uff0c\u201c\u6587\u672c\u751f\u6210\u201d\u6216\u8005\u201c\u673a\u5668\u5b66\u4e60\u201d\u3002<\/p>\n\n\n\n<p>\u57fa\u7840\u7406\u8bba\u76f8\u5173\u7684\u6211\u5e76\u4e0d\u592a\u4e86\u89e3\uff0c\u4ee5\u4e0a\u53ea\u662f\u201c\u6211\u8ba4\u4e3a\u201d\uff0c\u5e76\u4e0d\u51c6\u786e\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h_605412919_3\">\u4e8c\u3001\u81ea\u7136\u8bed\u8a00\u8ba4\u77e5\u3001\u7406\u89e3\u4e0e\u63a8\u7406<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\uff08\u4e09\uff09\u8bdd\u8bed\u548c\u8bed\u7528\u5b66 (Discourse and Pragmatics)<\/li>\n\n\n\n<li>\uff08\u5341\u4e03\uff09\u97f3\u7cfb\u5b66\u3001\u5f62\u6001\u5b66\u548c\u8bcd\u8bed\u5206\u5272 (Phonology, Morphology and Word Segmentation)<\/li>\n\n\n\n<li>\uff08\u4e8c\u5341\uff09\u8bed\u4e49\u5b66\uff1a\u8bcd\u6c47\u5c42\u9762 (Semantics: Lexical)<\/li>\n\n\n\n<li>\uff08\u4e8c\u5341\u4e00\uff09\u8bed\u4e49\u5b66\uff1a\u53e5\u7ea7\u8bed\u4e49\u3001\u6587\u672c\u63a8\u65ad\u548c\u5176\u4ed6\u9886\u57df (Semantics: Sentence-Level Semantics, Textual Inference and Other Areas)<\/li>\n\n\n\n<li>\uff08\u4e8c\u5341\u4e94\uff09\u53e5\u6cd5\u5b66\uff1a\u6807\u6ce8\u3001\u7ec4\u5757\u5206\u6790\u548c\u53e5\u6cd5\u5206\u6790 (Syntax: Tagging, Chunking and Parsing)<\/li>\n<\/ul>\n\n\n\n<p>\u8fd9\u91cc\u4e3b\u8981\u662f\u4fd7\u79f0\u7684\u201c\u57fa\u7840\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4efb\u52a1\u201d\uff0c\u662f\u5728\u8bed\u8a00\u5b66\u7684\u9053\u8def\u4e0a\uff0c\u9010\u6e10\u5efa\u6784\u8bed\u4e49\u7684\u8fc7\u7a0b\u3002\u5927\u81f4\u53ef\u4ee5\u5206\u4e3a\u4ee5\u4e0b\u4e94\u4e2a\u5927\u7c7b\uff1a<\/p>\n\n\n\n<p>1. \u8bcd\u6c47\u7684\u8bed\u8a00\u5b66\u3001\u5f62\u6001\u5b66\u3001\u97f3\u97f5\u5b66\u3001\u8bed\u4e49\u5b66\u76f8\u5173\u3002\u4f8b\u5982\u5f62\u6001\u53d8\u5316 (Morphological inflection)\uff0c\u5f62\u6001\u5b66\u5206\u5272 (Morphological segementation)\uff0c\u8bcd\u6027\u8fd8\u539f (Lemmatization)\uff0c\u97f3\u7cfb\u5b66 (Phonology)\uff0c\u53d1\u97f3\u5efa\u6a21 (Pronunciation modeling)\uff0c\u4e00\u8bcd\u591a\u4e49 (Polysemy)\uff0c\u8bcd\u6c47\u5173\u7cfb (Lexical relationships)\uff0c\u8bcd\u6c47\u8bed\u4e49\u53d8\u8fc1 (Lexical semantic change)<\/p>\n\n\n\n<p>2. \u8bed\u4e49\u8868\u793a\u7c7b\uff1aembedding\/representation\u3002\u7528\u5411\u91cf\u8868\u793a\u8bcd\u6c47\u3001\u53e5\u5b50\u7b49\uff0c\u5e76\u6ee1\u8db3\u4e00\u5b9a\u7684\u89c4\u5f8b\u3002\u6bd4\u5982\u5b50\u8bcd\u8868\u5f81 (Subword representations)\uff0c\u8bcd\u5d4c\u5165 (Word embeddings)\uff0c\u77ed\u8bed\u548c\u53e5\u5b50\u5d4c\u5165 (Phrase\/sentence embedding)<\/p>\n\n\n\n<p>3. \u5206\u5757\/\u6807\u6ce8\u7c7b\uff1achunking\/sequence labeling\uff0c\u5c06\u6587\u672c\uff08\u7ebf\u6027\u7ed3\u6784\uff09\u5206\u5272\u6210\u82e5\u5e72\u7684\u5757\uff0c\u7136\u540e\u5bf9\u6bcf\u5757\u53bb\u505a\u4e00\u4e2a\u5206\u7c7b\uff08label\uff09\u3002\u4f46\u8fd8\u5728\u8bed\u8a00\u5b66\/\u8bed\u4e49\u5b66\u5c42\u9762\uff0c\u6ca1\u6709\u5230\u77e5\u8bc6\u4e0e\u4fe1\u606f\u62bd\u53d6\u7684\u7a0b\u5ea6\u3002\u6bd4\u5982\u4e2d\u6587\u5206\u5272 (Chinese segmentation)\uff0c\u8bcd\u6027\u6807\u6ce8 (Part-of-speech tagging)\u3002<\/p>\n\n\n\n<p>4. \u89e3\u6790\u7c7b\uff1aParsing\uff0c\u53bb\u89e3\u6790\u6587\u672c\uff08\u7ebf\u6027\u7ed3\u6784\uff09\u4e2d\u7684\u5355\u5143\uff08subword\uff0c\u8bcd\u6c47\uff0c\u53e5\u5b50\u7b49\uff09\u4e4b\u95f4\u7684\u5173\u7cfb\uff08\u4e00\u822c\u662f\u56fe\uff09\u3002\u6bd4\u5982\u56de\u6307\/\u5171\u6307\/\u6865\u63a5\u6d88\u89e3 (Anaphora\/Coreference\/Bridging resolution)\uff0c\u4f9d\u5b58\/\u7ec4\u5408\u53e5\u6cd5\u5206\u6790 (Dependency parsing, Constituency parsing), \u8bdd\u8bed\u5206\u6790 (Discourse parsing)\u3002\u6216\u8005\u4e0a\u8ff0\u4efb\u52a1\u7684\u5ef6\u4f38\uff0c\u5982\u8bed\u4e49\u5206\u6790 (Semantic parsing)\uff0c\u89c2\u70b9\u6316\u6398 (Argument mining)\u3002<\/p>\n\n\n\n<p>5. \u53e5\u95f4\u5173\u7cfb\u7c7b\uff1a\u5728\u8bed\u8a00\/\u8bed\u4e49\u5c42\u9762\u5224\u65ad\u53e5\u5b50\u95f4\u7684\u5173\u7cfb\uff0c\u5982\u8bed\u4e49\u76f8\u540c\u3001\u76f8\u4f3c\u3001\u8574\u542b\u7b49\u3002\u6bd4\u5982\u540c\u4e49\u53e5\u8bc6\u522b (Paraphrase recognition)\u3001\u6587\u672c\u8574\u542b (Textual entailment)\u3001\u81ea\u7136\u8bed\u8a00\u63a8\u7406 (Natural language inference)\u3001\u6587\u672c\u8bed\u4e49\u76f8\u4f3c\u6027 (Semantic textual similarity)\u3002\u6216\u8005\u4e0a\u8ff0\u4efb\u52a1\u7684\u5ef6\u4f38\uff0c\u5982\u540c\u4e49\u53e5\u751f\u6210 (Paraphrase generation)\uff0c\u6587\u672c\u7b80\u5316 (Text simiplification)\uff0c\u8bcd\u548c\u77ed\u8bed\u5bf9\u9f50 (Word\/phrase alignment)\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u4ece\u7ec6\u7c92\u5ea6\u5230\u7c97\u7c92\u5ea6\u5730\u5bf9\u5177\u4f53\u4efb\u52a1\u4e3e\u4f8b\uff1a<\/p>\n\n\n\n<p>1.\u5f62\u6001\u5b66\u5206\u5272 (Morphological segementation)<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic1.zhimg.com\/80\/v2-0d2de9896f77c0b08567f54891fa7cc4_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<p>2.\u8bcd\u6027\u8fd8\u539f (Lemmatization)<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic1.zhimg.com\/80\/v2-53cdef5b501a0628e250dfe58ab95624_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<p>3. \u4e2d\u6587\u5206\u8bcd (Chinese segmentation)<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic1.zhimg.com\/80\/v2-d4314d1be18307c2cc1044557686c210_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<p>4.\u8bcd\u5d4c\u5165 (Word embeddings)<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic4.zhimg.com\/80\/v2-6f26fa4bcfd96f274496ba02e503a247_720w.webp\" alt=\"\"\/><figcaption class=\"wp-element-caption\">\u8bcd\u5d4c\u5165\uff1a\u7528\u5411\u91cf\u8868\u793a\u8bcd\u6c47\u8bed\u4e49\u3002\u538b\u7f29\u52303\u7ef4\u7684\u8bcd\u5d4c\u5165\u8868\u793a<\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic4.zhimg.com\/80\/v2-bb773205aaf841b626ace77cdf2dac1b_720w.webp\" alt=\"\"\/><figcaption class=\"wp-element-caption\">\u4e24\u79cd\u8ba1\u7b97\u8bcd\u5d4c\u5165\u7684\u7b80\u5355\u65b9\u6cd5\u3002<\/figcaption><\/figure>\n\n\n\n<p>5.\u5171\u6307\u6d88\u89e3 (Coreference resolution)<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic4.zhimg.com\/80\/v2-d68d9aeb3bd9018c2f7555643ef4083b_720w.webp\" alt=\"\"\/><figcaption class=\"wp-element-caption\">\u4e0a\u56fe\u4e2d\uff0c\u4e24\u79cd\u989c\u8272\uff0c\u662f\u4e24\u7ec4\u5171\u6307\u3002<\/figcaption><\/figure>\n\n\n\n<p>6.\u4f9d\u5b58\u53e5\u6cd5\u5206\u6790 (Dependency parsing)<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic4.zhimg.com\/80\/v2-47cf01b4fd46cf6a3feb8189514d68cf_720w.webp\" alt=\"\"\/><figcaption class=\"wp-element-caption\">\u5224\u65ad\u7ec4\u6210\u53e5\u5b50\u7684\u8bcd\u95f4\u7684\u4f9d\u5b58\u5173\u7cfb<\/figcaption><\/figure>\n\n\n\n<p>7.\u81ea\u7136\u8bed\u8a00\u63a8\u7406 (Natural language inference)<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic4.zhimg.com\/80\/v2-818c564e853d1196b0493fcfa9a051a7_720w.webp\" alt=\"\"\/><figcaption class=\"wp-element-caption\">\u5224\u65adP\u53e5\u548cH\u53e5\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u8574\u542b\u3001\u4e2d\u7acb\u3001\u77db\u76fe\u3002<\/figcaption><\/figure>\n\n\n\n<p>8.\u6587\u672c\u8bed\u4e49\u76f8\u4f3c\u6027 (Semantic textual similarity)<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic3.zhimg.com\/80\/v2-09040135fa1471b316fcfcfe2b674f06_720w.webp\" alt=\"\"\/><figcaption class=\"wp-element-caption\">\u5224\u65ad\u53e5\u5b50\u8bed\u4e49\u662f\u5426\u76f8\u4f3c<\/figcaption><\/figure>\n\n\n\n<p>9.\u8bed\u4e49\u5206\u6790 (Semantic parsing)<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic2.zhimg.com\/80\/v2-4fecf05fa99f991fdb2dd157bdc6ad69_720w.webp\" alt=\"\"\/><figcaption class=\"wp-element-caption\">\u8fd9\u4e2a\u662f\u5c06\u95ee\u53e5\u8f6c\u5316\u4e3aSQL\u67e5\u8be2<\/figcaption><\/figure>\n\n\n\n<p>10.\u8bdd\u8bed\u5206\u6790 (Discourse parsing)<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic1.zhimg.com\/80\/v2-a8d7e583757eb55916b5202314c7258c_720w.webp\" alt=\"\"\/><figcaption class=\"wp-element-caption\">\u4e00\u4e2a\u662f\u8bc6\u522b\u4e0a\u6587\u4e2d\u7684\u6bcf\u4e2a\u8bdd\u8bed\u7247\u6bb5\uff08edu)\uff0c\u53e6\u4e00\u4e2a\u662f\u8bc6\u522bedu\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u5982Attribution\uff0cContrast\u3002<\/figcaption><\/figure>\n\n\n\n<p>11.\u6587\u672c\u7b80\u5316 (Text simiplification)<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic1.zhimg.com\/80\/v2-be27aefbc4321e88154b63a699d51e48_720w.webp\" alt=\"\"\/><figcaption class=\"wp-element-caption\">\u6709\u70b9\u50cf\u6458\u8981\uff0c\u4f46\u6211\u89c9\u5f97\u8fd9\u4e2a\u90e8\u5206\u53ef\u80fd\u662f\u66f4\u5173\u6ce8\u57fa\u4e8e\u7b80\u5355\u8bcd\u6c47\u3001\u53e5\u6cd5\u7684\u6458\u8981\u3002\u6bd4\u5982\u67d0\u4eba\u5e38\u8bf4\u7684\u8bfb\u8bba\u6587\u53ea\u770bhowever\u540e\u9762\u3002<\/figcaption><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h_605412919_4\">\u4e09\u3001\u81ea\u7136\u8bed\u8a00\u751f\u6210\u4e0e\u5199\u4f5c<\/h3>\n\n\n\n<p>\uff08\u4e94\uff09\u8bed\u8a00\u751f\u6210 (Generation)<\/p>\n\n\n\n<p>\uff08\u4e8c\u5341\u56db\uff09\u6587\u6458 (Summarization)<\/p>\n\n\n\n<p>\u6587\u672c\u751f\u6210\u4efb\u52a1\u4e2d\u7684\u7ffb\u8bd1\u548c\u5bf9\u8bdd\u88ab\u5355\u72ec\u6458\u51fa\u6765\u4e86\uff0c\u800c\u5176\u5b83\u6587\u672c\u751f\u6210\u4efb\u52a1\u90fd\u653e\u5728\u4e86\u8fd9\u91cc\u3002<\/p>\n\n\n\n<p>\u5173\u4e8e\u6587\u672c\u751f\u6210\uff0c\u591a\u8bf4\u4e24\u53e5\u3002\u56e0\u4e3a\u5f88\u591a\u4eba\u770b\u5230\u201c\u751f\u6210\u201d\u5c31\u4f1a\u89c9\u5f97\u5f88\u5389\u5bb3\u3002\u56e0\u4e3a\u5176\u5b83\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4efb\u52a1\u5927\u591a\u90fd\u662f\u5728\u505a\u5206\u7c7b\uff0c\u6bd4\u5982\u60c5\u611f\u503e\u5411\u5224\u65ad\uff08\u4e8c\u5206\u7c7b\uff09\u3001\u5b9e\u4f53\u68c0\u6d4b\/\u7b54\u6848\u62bd\u53d6\uff08\u76f8\u5f53\u4e8e\u5bf9\u6bcf\u4e2a\u5b57\/\u8bcd\u505a\u5206\u7c7b\uff0c\u5224\u65ad\u62bd\u6216\u8005\u4e0d\u62bd\uff0c\u6216\u8005\u7ec4\u5408\u6807\u7b7e\uff09\u3001\u5206\u6790\uff08parsing\uff0c\u76f8\u5f53\u4e8e\u6784\u56fe\uff0c\u4e24\u4e24\u8282\u70b9\u4e4b\u95f4\u5224\u65ad\u662f\u5426\u8fde\u8fb9\uff0c\u4ee5\u53ca\u8fb9\u7c7b\u578b\u5206\u7c7b\uff09\u3002\u4f46\u5b9e\u9645\u4e0a\uff0c\u751f\u6210\u4e5f\u662f\u5206\u7c7b\u3002\u73b0\u5728\u4e3b\u6d41\u7684\u6587\u672c\u751f\u6210\u8fc7\u7a0b\uff0c\u6bcf\u6b21\u53bb\u9884\u6d4b\uff08\u5206\u7c7b\uff09\u4e0b\u4e00\u4e2a\u8bcd\u5e94\u8be5\u662f\u4ec0\u4e48\uff0c\u5373\u5728\u6570\u5343\u89c4\u6a21\u7684\u8bcd\u8868\uff08\u7c7b\u522b\u6807\u7b7e\uff09\u4e0a\u5206\u7c7b\uff0c\u5f53\u5206\u7c7b\u5230\u505c\u6b62\u7b26\u65f6\u5c31\u505c\u6b62\u751f\u6210\u3002<\/p>\n\n\n\n<p>\u5173\u4e8e\u6587\u672c\u751f\u6210\u4e0e\u5199\u4f5c\u76f8\u5173\u7684\u7814\u7a76\u65b9\u5411\uff0c\u4e3b\u8981\u53ef\u4ee5\u5206\u4e3a\u4ee5\u4e0b\u4e09\u4e2a\u5927\u7c7b\uff1a<\/p>\n\n\n\n<p>1. \u4e0d\u540c\u7684\u8f93\u5165\u5f62\u5f0f\u7684\u4efb\u52a1\u3002\u6bd4\u5982\u6570\u636e\u5230\u6587\u672c\u751f\u6210 (Data-to-text generation\uff0c\u7ed9\u4e00\u4e9b\u4e3b\u8c13\u5bbe\u4e09\u5143\u7ec4\uff0c\u751f\u6210\u5b8c\u6574\u7684\u63cf\u8ff0\u8bed\u53e5\uff0c\u5982\u4e2a\u4eba\u7b80\u6d01\u3001\u5546\u54c1\u5e7f\u544a)\u3002\u6587\u672c\u5230\u6587\u672c\u751f\u6210 (Text-to-text generation) \u6bd4\u5982\u6587\u672c\u6458\u8981\uff0c\u6587\u672c\u98ce\u683c\u8fc1\u79fb\uff08\u7acb\u573a\u8f6c\u6362\u3001\u60c5\u611f\u503e\u5411\u8f6c\u6362\u7b49\uff09\uff0c\u6545\u4e8b\u7eed\u5199\uff0c\u7ed9\u5b9a\u5173\u952e\u8bcd\u7684\u8bd7\u6b4c\u751f\u6210\u7b49\u3002\u5176\u5b9e\u8fd8\u53ef\u4ee5\u6709\u56fe\u7247\u5230\u6587\u672c\u7684\u751f\u6210\uff0c\u6bd4\u5982\u770b\u56fe\u8bf4\u8bdd\uff08Image caption\uff09\uff0c\u4f46\u8fd9\u79cd\u5176\u5b9e\u7b97\u662f\u591a\u6a21\u6001\uff0c\u8ba1\u7b97\u673a\u89c6\u89c9\u548c\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u4ea4\u53c9\u3002<\/p>\n\n\n\n<p>\u5176\u4e2d\uff0cACL\u5bf9\u6458\u8981\u5206\u5f97\u66f4\u7ec6\u4e00\u70b9\u3002\u6bd4\u5982\u6709\u62bd\u53d6\u5f0f\u6458\u8981 (Extractive summarization\uff0c\u62bd\u539f\u6587\u4e2d\u7684\u53e5\u5b50\u4f5c\u4e3a\u6458\u8981\uff0c\u5176\u5b9e\u4e0d\u7b97\u751f\u6210\u4e0e\u5199\u4f5c\uff0c\u6211\u53ea\u662f\u5077\u61d2\u653e\u8fd9\u4e86\uff09\uff0c\u751f\u6210\u5f0f\u6458\u8981(Abstractive summarization)\u3002\u8fd8\u6709\u9488\u5bf9\u591a\u6a21\u6001\u3001\u591a\u8bed\u8a00\u3001\u591a\u6587\u6863\u3001\u5bf9\u8bdd\u7b49\u4e0d\u540c\u683c\u5f0f\u7684\u6458\u8981(Multimodal\/Multilingual\/Multi-document\/Conversational summarization)\uff0c\u7ed9\u5b9a\u67e5\u8be2\u4e4b\u540e\u7684\u6709\u503e\u5411\u6027\u7684\u9762\u5411\u67e5\u8be2\u7684\u6458\u8981 \uff0c(Query-focused summarization)\uff0c\u9762\u5411\u957f\u6587\u672c\u7684\u957f\u683c\u5f0f\u6458\u8981 (Long-form summarization)\u548c\u9762\u5411\u77ed\u6587\u672c\u7684\u53e5\u5b50\u538b\u7f29 (Sentence compression)\u3002<\/p>\n\n\n\n<p>2. \u901a\u7528\u7684\u5e95\u5c42\u6280\u672f\uff0c\u6bd4\u5982\u6a21\u578b\u7ed3\u6784 (Model architectures\uff0c\u53e3\u888b\u7c7b)\uff0c\u9ad8\u6548\u6a21\u578b (Efficient models\uff0c\u81ea\u56de\u5f52\u89e3\u7801\uff0c\u4e0e\u6210\u5343\u4e0a\u4e07\u7684\u5019\u9009\u8bcd\uff0c\u603b\u662f\u8ba9\u751f\u6210\u6a21\u578b\u5f88\u6162)\uff0c\u5c11\u6837\u672c\u751f\u6210 (Few-shot generation)\uff0c\u9886\u57df\u8fc1\u79fb (Domain adaptation)\uff0c\u68c0\u7d22\u589e\u5f3a\u751f\u6210 (Retrieval-augmented generation)\uff0c\u63a8\u65ad\u65b9\u6cd5 (Inference methods\uff0c\u6211\u731c\u662f\u975e\u81ea\u56de\u5f52\u751f\u6210\uff0c\u4ee5\u53ca\u5404\u79cd\u591a\u6b65\/\u53ef\u63a7\u751f\u6210)\u7b49\u7b49\u3002<\/p>\n\n\n\n<p><br>3. \u8bc4\u4ef7\u4e0e\u5206\u6790\u65b9\u9762\u3002\u6587\u672c\u751f\u6210\u7684\u8bc4\u4ef7\u4e0d\u50cf\u4e00\u822c\u5206\u7c7b\u4efb\u52a1\u90a3\u6837\uff0c\u548c\u6807\u51c6\u7b54\u6848\u6709\u4e00\u70b9\u5dee\u522b\u5c31\u7b97\u9519\u3002\u6240\u4ee5\uff0c\u7ecf\u5e38\u9700\u8981\u4eba\u5de5\u8bc4\u4ef7 (Human evaluation)\uff0c\u81ea\u52a8\u8bc4\u4ef7 (Automatic evaluation)\u7684\u65b9\u6cd5\u4e5f\u66f4\u52a0\u590d\u6742\u3002\u9664\u6b64\u4e4b\u5916\uff0c\u5bf9\u4e8e\u6458\u8981\u7b49\u4efb\u52a1\uff0c\u4e8b\u5b9e\u6b63\u786e\u6027 (Factuality)\u3001\u4e00\u81f4\u6027\u3001\u6d41\u7545\u5ea6\u7b49\u65b9\u9762\u7684\u68c0\u6d4b\u548c\u5206\u6790 (Analysis)\u4e5f\u662f\u4e0d\u53ef\u6216\u7f3a\u7684\u3002<\/p>\n\n\n\n<p>\u4e0a\u9762\u7684\u7b2c\u4e8c\u7c7b\u548c\u7b2c\u4e09\u7c7b\uff0c\u5176\u5b9e\u548c\u7ffb\u8bd1\u3001\u751f\u6210\u5f0f\u5bf9\u8bdd\u7b49\u9886\u57df\u57fa\u672c\u4e0a\u662f\u5171\u901a\u7684\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5177\u4f53\u4efb\u52a1\u7684\u4e3e\u4f8b\uff1a<\/p>\n\n\n\n<p>1.\u6570\u636e\u5230\u6587\u672c\u751f\u6210 (Data-to-text generation)<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic2.zhimg.com\/80\/v2-328050c611e9f0d71dca2ed43e0b1b45_720w.webp\" alt=\"\"\/><figcaption class=\"wp-element-caption\">\u6839\u636e\u4e0a\u9762\u7684\u4e09\u5143\u7ec4\uff0c\u751f\u6210\u4e0b\u9762\u7684\u53e5\u5b50\u8868\u793a\u3002<\/figcaption><\/figure>\n\n\n\n<p>2. \u8868\u683c\u5230\u6587\u672c\u7684\u751f\u6210\uff0c\u6709\u65f6\u548c\u6570\u636e\u5230\u6587\u672c\u7684\u751f\u6210\u5f88\u50cf\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic4.zhimg.com\/80\/v2-d37f5d589f4aa5c0a76ca97613b69a9f_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<p>3. \u6587\u672c\u98ce\u683c\u8fc1\u79fb\uff08\u60c5\u611f\u53cd\u8f6c\uff09<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic2.zhimg.com\/80\/v2-c8e0863640f048c6c7bbbb6a81bf03c5_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<p>4.\u62bd\u53d6\u5f0f\u6458\u8981(Extractive summarization)<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic3.zhimg.com\/80\/v2-81bccefa5d10a791b32a42ae6330816e_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<p>5.\u9762\u5411\u67e5\u8be2\u7684\u6458\u8981 (Query-focused summarization)<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic3.zhimg.com\/80\/v2-73750888469965f665da4e391cf0cfae_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<p>6. inference\u4e0a\u7684\u82b1\u6d3b\uff1a\u57fa\u4e8e\u89c4\u5212\u7684\u591a\u6b21\u89e3\u7801\uff08\u4efb\u52a1\u662f\u6545\u4e8b\u8865\u5168\uff09<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic1.zhimg.com\/80\/v2-899b7a4dea218626795cc5c50f3ea338_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h_605412919_5\">\u56db\u3001\u673a\u5668\u7ffb\u8bd1<\/h3>\n\n\n\n<p>\uff08\u5341\u56db\uff09\u673a\u5668\u7ffb\u8bd1 (Machine Translation)<\/p>\n\n\n\n<p>\u673a\u5668\u7ffb\u8bd1\uff0c\u5728\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u59d4\u7684\u65b9\u5411\u5212\u5206\u4e0eACL \u7684\u65b9\u5411\u5212\u5206\u4e2d\u5747\u88ab\u72ec\u7acb\u51fa\u6765\uff0c\u662f\u72ec\u4e00\u4efd\u7684\u3002\u6211\u89c9\u5f97\u539f\u56e0\u4e3b\u8981\u6709\u4ee5\u4e0b\u4e24\u70b9\uff1a<\/p>\n\n\n\n<p>1. \u5386\u53f2\u60a0\u4e45\u3002Warren Weaver \u4e8e 1947 \u5e74\u5c31\u63d0\u51fa\u4e86\u5229\u7528\u8ba1\u7b97\u673a\u8fdb\u884c\u8bed\u8a00\u81ea\u52a8\u7ffb\u8bd1\u7684\u60f3\u6cd5\u30021954 \u5e74\uff0c\u7f8e\u56fd\u4e54\u6cbb\u6566\u5927\u5b66\u5728 IBM \u516c\u53f8\u534f\u540c\u4e0b\uff0c\u7528 IBM-701 \u8ba1\u7b97\u673a\u9996\u6b21\u5b8c\u6210\u4e86\u82f1\u4fc4\u673a\u5668\u7ffb\u8bd1\u8bd5\u9a8c\uff08\u4f46\u4e3b\u8981\u57fa\u4e8e\u8bcd\u610f\u5bf9\u9f50\uff0c\u6ca1\u6709\u8003\u8651\u6b67\u4e49\uff09\u30021976 \u5e74\uff0c\u52a0\u62ff\u5927\u8499\u7279\u5229\u5c14\u5927\u5b66\u4e0e\u52a0\u62ff\u5927\u8054\u90a6\u653f\u5e9c\u7ffb\u8bd1\u5c40\u8054\u5408\u5f00\u53d1\u4e86\u540d\u4e3aTAUM-METEO\u7684\u673a\u5668\u7ffb\u8bd1\u7cfb\u7edf\uff0c\u63d0\u4f9b\u5929\u6c14\u9884\u62a5\u670d\u52a1\u3002\u8fd9\u4e2a\u7cfb\u7edf\u6bcf\u5c0f\u65f6\u53ef\u4ee5\u7ffb\u8bd16-30\u4e07\u4e2a\u8bcd\uff0c\u6bcf\u5929\u53ef\u7ffb\u8bd11-2\u5343\u7bc7\u6c14\u8c61\u8d44\u6599\uff0c\u5e76\u80fd\u591f\u901a\u8fc7\u7535\u89c6\u3001\u62a5\u7eb8\u7acb\u5373\u516c\u5e03\uff0c\u673a\u5668\u7ffb\u8bd1\u6b63\u5f0f\u8fdb\u5165\u5e94\u7528\u65f6\u4ee3\u3002<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\u4ee5\u4e0a\u4fe1\u606f\u6458\u53d6\u81ea\u7f51\u7edc\u3002<br>\u548c\u673a\u5668\u7ffb\u8bd1\u4e00\u6837\u5386\u53f2\u60a0\u4e45\u7684NLP\u4efb\u52a1\uff0c\u8fd8\u6709\u95ee\u7b54\u4e0e\u5bf9\u8bdd\uff08\u56fe\u7075\u6d4b\u8bd5\uff09\u3002\u4e0d\u8fc7\uff0c\u95ee\u7b54\u5728\u5546\u7528\u9053\u8def\u4e0a\u4e00\u76f4\u53d7\u632b\u3002\u4e0d\u77e5\u9053chatGPT\u662f\u5426\u4f1a\u5f7b\u5e95\u98a0\u8986\u8fd9\u4e00\u73b0\u72b6\u3002<\/p>\n<\/blockquote>\n\n\n\n<p>2. \u5f71\u54cd\u5e7f\u6cdb\u3002\u8eab\u8fb9\u5230\u5904\u90fd\u6709\u5e94\u7528\uff0c\u5305\u62ec\u6bd4\u8f83\u6210\u719f\u767e\u5ea6\/\u8c37\u6b4c\u7ffb\u8bd1\u3001\u5212\u5c4f\u53d6\u8bcd\u3001\u7f51\u9875\u7ffb\u8bd1\uff0c\u518d\u5230\u5c1a\u672a\u6210\u719f\u7684\u540c\u4f20\u52a9\u624b\u3001\u5d4c\u5165\u5728AR\/\u5143\u5b87\u5b99\u4e2d\u7684\u7ffb\u8bd1\u52a9\u624b\u3002<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\u641c\u7d22\u5f15\u64ce\u662f\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4e2d\u53e6\u4e00\u4e2a\u5e7f\u6cdb\u5e94\u7528\u7684\u573a\u666f\u3002\u4e0d\u8fc7\uff0c\u65e9\u671f\u641c\u7d22\u5f15\u64ce\u4e3b\u8981\u662f\u4fe1\u606f\u68c0\u7d22\u7684\u5e94\u7528\uff08ad hoc search\u4e4b\u7c7b\u7684\uff09\uff0c\u4e0d\u592a\u667a\u80fd\u3002\u8fd1\u5e74\u6765\uff0cQA\u9010\u6e10\u7ed3\u5408\u5728\u641c\u7d22\u5f15\u64ce\u4e2d\uff0c\u4f46\u5e76\u672a\u5e26\u6765\u98a0\u8986\u6027\u7684\u9769\u547d\u3002\u5373\u4f7f\u662fchatGPT\uff0c\u672a\u6765\u53ef\u80fd\u4f1a\u6210\u4e3a\u641c\u7d22\u5f15\u64ce\u7684\u4e00\u4e2a\u91cd\u8981\u7ec4\u6210\u90e8\u5206\uff0c\u4f46\u4e5f\u4e0d\u592a\u53ef\u80fd\u5b8c\u5168\u53d6\u4ee3\u73b0\u6709\u7684\u641c\u7d22\u5f15\u64ce\u3002<\/p>\n<\/blockquote>\n\n\n\n<p>\u673a\u5668\u7ffb\u8bd1\u53ef\u4ee5\u8ba4\u4e3a\u662f\u4e00\u7c7b\u7279\u6b8a\u7684\u6587\u672c\u5230\u6587\u672c\u751f\u6210 (Text-to-text generation)\u4efb\u52a1\uff0c\u5373\u8f93\u5165\u548c\u8f93\u51fa\u6587\u672c\u4e4b\u95f4\u5177\u6709\u76f8\u540c\u7684\u8bed\u4e49\uff0c\u4f46\u5c5e\u4e8e\u4e0d\u540c\u7684\u8bed\u8a00\u3002\u673a\u5668\u7ffb\u8bd1\u4e2d\u4e5f\u6709\u4e00\u4e9b\u662f\u9762\u5411\u8bed\u97f3\u7684\u7ffb\u8bd1(Speech translation)\uff0c\u4e0d\u8fc7\u6211\u611f\u89c9\u5f88\u591a\u8fd8\u662f\u5c06\u8bed\u97f3\u8f6c\u5316\u4e3a\u97f3\u4f4d\/\u97f3\u8282\uff08\u6216\u8005\u7531\u5176\u7ec4\u6210\u7684\u8bcd\u683c\u56fe\uff09\u4e4b\u540e\uff0c\u518d\u505a\u7684\u5904\u7406\u3002\u76f4\u63a5\u5904\u7406\u8bed\u97f3\u4fe1\u53f7\u7684\u5de5\u4f5c\u6709\u4f46\u4e0d\u591a\u3002<\/p>\n\n\n\n<p>\u673a\u5668\u7ffb\u8bd1\u4e2d\u7684\u901a\u7528\u5e95\u5c42\u6280\u672f\u3001\u8bc4\u4ef7\u4e0e\u5206\u6790\u4e0a\u7684\u4efb\u52a1\u548c\u524d\u9762\u8bed\u8a00\u751f\u6210\u91cc\u9762\u7684\u5dee\u4e0d\u591a\uff0c\u8fd9\u91cc\u4e5f\u4e0d\u518d\u591a\u8bf4\u4e86\u3002\u6bd4\u8f83\u6709\u7279\u8272\u7684\u662f\u673a\u5668\u7ffb\u8bd1\u6709\u4e00\u4e9b\u66f4\u8d34\u5408\u5e94\u7528\u7684\u7814\u7a76\u89d2\u5ea6\uff0c\u6bd4\u5982\u673a\u5668\u7ffb\u8bd1\u90e8\u7f72\u548c\u7ef4\u62a4 (MT deployment and maintainence)\uff0c\u673a\u5668\u7ffb\u8bd1\u7684\u7ebf\u4e0a\u8fd0\u7528 (Online adaptation for MT)\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u4e00\u4e9b\u673a\u5668\u7ffb\u8bd1\u4efb\u52a1\/\u65b9\u6cd5\u7684\u4e3e\u4f8b\uff1a<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\u53c2\u8003\uff1a<a href=\"https:\/\/www.zhihu.com\/question\/264596338\/answer\/635030291\">\u4eba\u5de5\u667a\u80fd\u673a\u5668\u7ffb\u8bd1\u7684\u53d1\u5c55\u7ecf\u5386\u4e86\u54ea\u51e0\u4e2a\u91cd\u8981\u9636\u6bb5\uff1f<\/a><\/p>\n<\/blockquote>\n\n\n\n<p>1\u3001\u7edf\u8ba1\u673a\u5668\u7ffb\u8bd1\u4e0e\u795e\u7ecf\u7f51\u7edc\u673a\u5668\u7ffb\u8bd1\uff08\u5c55\u793a\u673a\u5668\u7ffb\u8bd1\u4efb\u52a1\u548c\u57fa\u672c\u539f\u7406\uff09\uff1a<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic3.zhimg.com\/80\/v2-488cdecc1ec32f16b8bc0868889fcace_720w.webp\" alt=\"\"\/><figcaption class=\"wp-element-caption\">\u7edf\u8ba1\u673a\u5668\u7ffb\u8bd1<\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic4.zhimg.com\/80\/v2-8137169a3e5901acc5a54fb0102ba253_720w.webp\" alt=\"\"\/><figcaption class=\"wp-element-caption\">\u795e\u7ecf\u7f51\u7edc\u673a\u5668\u7ffb\u8bd1<\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic2.zhimg.com\/80\/v2-47036c64969bbf13e5a81f6a9156e9b9_720w.webp\" alt=\"\"\/><figcaption class=\"wp-element-caption\">\u673a\u5668\u7ffb\u8bd1\u5e94\u7528<\/figcaption><\/figure>\n\n\n\n<p>2. \u591a\u8bed\u8a00\u673a\u5668\u7ffb\u8bd1 (Multilingual MT)<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic1.zhimg.com\/80\/v2-d3594472c95a30a5ded4b4be630f2d60_720w.webp\" alt=\"\"\/><figcaption class=\"wp-element-caption\">\u5c06\u4e00\u79cd\u6e90\u8bed\u8a00\u7ffb\u8bd1\u6210\u591a\u79cd\u76ee\u6807\u8bed\u8a00<\/figcaption><\/figure>\n\n\n\n<p>3. \u5e76\u884c\u89e3\u7801\u548c\u975e\u81ea\u56de\u5f52\u7684\u673a\u5668\u7ffb\u8bd1 (Parallel decoding\/non-autoregressive MT)<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\u975e\u81ea\u56de\u5f52\u673a\u5668\u7ffb\u8bd1\uff0c\u4e5f\u5c31\u662f\u8bf4\u751f\u6210\u8fc7\u7a0b\u4e0d\u662f\u4e00\u4e2a\u8bcd\u4e00\u4e2a\u8bcd\u5730\u751f\u6210\uff0c\u800c\u662f\u4e00\u6b21\u6027\u751f\u6210\u6240\u6709\u3002\u6311\u6218\u5305\u62ec\u65e0\u6cd5\u786e\u5b9a\u5bf9\u5e94\u5173\u7cfb\uff0c\u5bb9\u6613\u91cd\u590d\u3001\u6f0f\u7ffb\uff1b\u751f\u6210\u7ed3\u679c\u7684\u6d41\u7545\u5ea6\u4f4e\u7b49\u3002<\/p>\n<\/blockquote>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic1.zhimg.com\/80\/v2-e40c9772d7442446a82766b10229e8d4_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<p>4. \u591a\u6a21\u6001\u673a\u5668\u7ffb\u8bd1\uff08Multimodality MT\uff09<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic4.zhimg.com\/80\/v2-cb257238650dba6281b540dfd7b1a57f_720w.webp\" alt=\"\"\/><figcaption class=\"wp-element-caption\">\u56fe\u50cf\u53ef\u4ee5\u4f5c\u4e3a\u4e00\u79cduniversal\u7684\u4e2d\u95f4\u8bed\u8a00<\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic2.zhimg.com\/80\/v2-d525af6f204a105e54b3a2e8784f786d_720w.webp\" alt=\"\"\/><figcaption class=\"wp-element-caption\">\u56fe\u50cf\u4fe1\u606f\u53ef\u4ee5\u63d0\u4f9b\u7ffb\u8bd1\u7684\u8bed\u5883<\/figcaption><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h_605412919_6\">\u4e94\u3001\u9762\u5411\u8bed\u8a00\u7684\u673a\u5668\u5b66\u4e60<\/h3>\n\n\n\n<p>\uff08\u516b\uff09\u81ea\u7136\u8bed\u8a00\u5904\u7406\u6a21\u578b\u7684\u53ef\u89e3\u91ca\u6027\u4e0e\u5206\u6790 (Interpretability and Analysis of Models in NLP)<\/p>\n\n\n\n<p>\uff08\u5341\uff09\u5927\u6a21\u578b(Large Language Models)<\/p>\n\n\n\n<p>\uff08\u5341\u4e09\uff09\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4e2d\u7684\u673a\u5668\u5b66\u4e60 (Machine Learning for NLP)<\/p>\n\n\n\n<p>\u8fd9\u91cc\u5176\u5b9e\u548c\u201cF0603 \u673a\u5668\u5b66\u4e60\u201d\u6709\u4ea4\u53c9\u3002\u901a\u7528\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4efb\u52a1\u4e0a\u5b9e\u8df5\u65f6\uff0c\u5fc5\u7136\u4f1a\u9700\u8981\u505a\u4e00\u4e9b\u9002\u5e94\u6027\u5730\u4fee\u6539\u3002\u800c\u6211\u628a\u5927\u6a21\u578b\u653e\u5230\u8fd9\u91cc\uff0c\u4e3b\u8981\u662f\u5c06\u9884\u8bad\u7ec3-\u7cbe\u8c03\uff08\u6216prompt\uff09\u4f5c\u4e3a\u4e00\u79cd\u673a\u5668\u5b66\u4e60\u7684\u65b0\u8303\u5f0f\u3002\u5b9e\u9645\u4e0a\uff0c\u5982\u679c\u9488\u5bf9\u7ffb\u8bd1\u3001\u95ee\u7b54\u3001\u4fe1\u606f\u62bd\u53d6\u7b49\u4efb\u52a1\u4e13\u95e8\u8bbe\u8ba1\u7684\u9884\u8bad\u7ec3\/\u7cbe\u8c03\u65b9\u5f0f\uff0c\u5e94\u5f53\u5f52\u7c7b\u5230\u5177\u4f53\u7684\u4efb\u52a1\u5f53\u4e2d\u3002<\/p>\n\n\n\n<p>\u5177\u4f53\u7684\u7814\u7a76\u65b9\u5411\u5927\u81f4\u53ef\u4ee5\u5206\u6210\u5982\u4e0b\u51e0\u7c7b\uff1a<\/p>\n\n\n\n<p>1. \u901a\u7528\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4efb\u52a1\u4e0a\u7684\u8c03\u6574\uff0c\u5305\u62ec\u4f18\u5316\u65b9\u6cd5 (Optimization methods \u504f\u6570\u5b66\uff1f)\uff0c\u81ea\u76d1\u7763\u5b66\u4e60 (Self-supervised learning)\uff0c\u5c11\u6837\u672c\u5b66\u4e60 (Few-shot learning)\uff0c\u5f3a\u5316\u5b66\u4e60 (Reinforcement learning)\uff0c\u591a\u4efb\u52a1\u5b66\u4e60 (Multi-task learning)\uff0c\u8fc1\u79fb\u5b66\u4e60\u548c\u9886\u57df\u9002\u5e94 (Transfer learning \/ domain adaptation)\uff0c\u53c2\u6570\u9ad8\u6548\u7684\u5fae\u8c03\u65b9\u6cd5 (Parameter-efficient finetuning)\uff0c\u5143\u5b66\u4e60 (Meta learning \u5b66\u4e60\u5982\u4f55\u5b66\u4e60\u3001\u5b66\u4e60\u4efb\u52a1\u800c\u975e\u6570\u636e\u4e4b\u7c7b\u7684)\uff0c\u8fde\u7eed\u5b66\u4e60 (Continual learning \u5982\u4f55\u501f\u9274\u4e4b\u524d\u5b66\u5230\u7684\u77e5\u8bc6\u5e76\u907f\u514d\u9057\u5fd8)\uff0c\u6a21\u578b\u538b\u7f29\u65b9\u6cd5 (Model compression methods)\uff0c\u5bf9\u6bd4\u5b66\u4e60 (Contrastive learning)\uff0c\u5bf9\u6297\u5b66\u4e60 (Adversarial training)\uff0c\u4eba\u53c2\u4e0e\u7684\u5b66\u4e60\u548c\u4e3b\u52a8\u5b66\u4e60 (Human-in-a-loop \/ Active learning)\u7b49\u3002<\/p>\n\n\n\n<p>2. \u81ea\u7136\u8bed\u8a00\u5904\u7406\u7279\u5b9a\u7684\u4e00\u4e9b\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\uff0c\u6bd4\u5982\u8bed\u8a00\u8868\u5f81\u7c7b\u7684\u8bcd\u5d4c\u5165 (Word embedding)\u3001\u8868\u5f81\u5b66\u4e60 (Representation learning)\u3001\u9884\u8bad\u7ec3 (Pre-training)\uff1b\u6bd4\u5982\u8bed\u8a00\u9884\u6d4b\u65f6\u7ecf\u5e38\u9047\u5230\u7684\u7ed3\u6784\u5316\u9884\u6d4b (Structured prediction\uff0c\u5178\u578b\u7684\u662fparsing)\uff1b\u56e0\u4e3a\u8bed\u8a00\u7684\u7a00\u758f\u6027\uff08\u9ad8\u201c\u8d28\u91cf\u201d\u7684\u8bed\u8a00\u6570\u636e\u6bd4\u56fe\u7247\u96be\u83b7\u5f97\uff09\u4ea7\u751f\u7684\u6570\u636e\u589e\u5f3a (Data augmentation)\u548c\u77e5\u8bc6\u589e\u5f3a (Knowledge-augmented methods)\u65b9\u6cd5\uff1b\u8bed\u8a00\u7684\u6cdb\u5316 (Generalization)\uff0c\u7279\u522b\u662f\u7ec4\u5408\u6cdb\u5316\u76f8\u5173\u7684\u7814\u7a76\u7b49\u3002<\/p>\n\n\n\n<p>3. \u9884\u8bad\u7ec3\u6a21\u578b\uff0c\u4f5c\u4e3a\u4e00\u79cd\u65b0\u5174\u7684\u673a\u5668\u5b66\u4e60\u65b9\u5f0f\uff0c\u6240\u9762\u4e34\u7684\u4e00\u4e9b\u95ee\u9898\u6bd4\u5982\uff1a\u5177\u4f53\u7684\u5e94\u7528\u65b9\u5f0f\uff0c\u5fae\u8c03 (Fine-tuning)\u4e0e\u63d0\u793a (Prompting)\uff1b\u5b89\u5168\u4e0e\u53ef\u89e3\u91ca\u76f8\u5173\u7684\u8bdd\u9898\uff0c\u4f26\u7406 (Ethics)\uff0c\u53ef\u89e3\u91ca\u6027\u548c\u5206\u6790 (Interpretability\/Analysis)\uff0c\u5b89\u5168\u548c\u9690\u79c1 (Security and privacy)\u7b49\u7b49\u3002<\/p>\n\n\n\n<p>\u8fd9\u90e8\u5206\u5927\u591a\u90fd\u662f\u673a\u5668\u5b66\u4e60\u4e2d\u7684\u4efb\u52a1\u6982\u5ff5\uff0c\u8fd9\u91cc\u4e5f\u5c31\u4e0d\u591a\u8bf4\u4e86\uff0c\u5c31\u653e\u4e00\u5f20\u7f51\u4f20\u7684\u81ea\u7136\u8bed\u8a00\u5904\u7406\u56db\u5927\u8303\u5f0f\u7684\u56fe\u5427\u3002<\/p>\n\n\n\n<p><a target=\"_blank\" href=\"https:\/\/zhuanlan.zhihu.com\/p\/456951972\" rel=\"noreferrer noopener\">Hero\uff1aNLP\u7684\u56db\u4e2a\u8303\u5f0f53 \u8d5e\u540c \u00b7 4 \u8bc4\u8bba\u6587\u7ae0<\/a><\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic1.zhimg.com\/80\/v2-3d28f59d767dd86f44d97ae08c884b2c_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h_605412919_7\">\u516d\u3001\u6587\u672c\u6316\u6398\u4e0e\u4fe1\u606f\u62bd\u53d6<\/h3>\n\n\n\n<p>\uff08\u516d\uff09\u4fe1\u606f\u62bd\u53d6 (Information Extraction)<\/p>\n\n\n\n<p>\uff08\u4e03\uff09\u4fe1\u606f\u68c0\u7d22\u548c\u6587\u672c\u6316\u6398 (Information Retrieval and Text Mining)<\/p>\n\n\n\n<p>\u201c\u6587\u672c\u6316\u6398\u4e0e\u4fe1\u606f\u62bd\u53d6\u201d\u4e5f\u662f\u8001\u724c\u7684\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4efb\u52a1\u3002\u5982\u679c\u8bf4\u201c\u81ea\u7136\u8bed\u8a00\u8ba4\u77e5\u3001\u7406\u89e3\u4e0e\u63a8\u7406\u201d\u662f\u4ece\u8bed\u8a00\u5b66\u548c\u672c\u6587\u8bed\u4e49\u7684\u5c42\u9762\u8bc6\u522b\u3001\u5efa\u6a21\u81ea\u7136\u8bed\u8a00\uff0c\u90a3\u201c\u6587\u672c\u6316\u6398\u4e0e\u4fe1\u606f\u62bd\u53d6\u201d\u5c31\u662f\u4ece\u6df1\u5ea6\u8bed\u4e49\uff08\u7ed3\u5408\u66f4\u5927\u7684\u4e0a\u4e0b\u6587\u3001\u7ed3\u5408\u5e38\u8bc6\u7b49\u4e16\u754c\u77e5\u8bc6\u7684\u8bed\u4e49\uff09\u7684\u89d2\u5ea6\u5efa\u6a21\u81ea\u7136\u8bed\u8a00\u3002<\/p>\n\n\n\n<p>\u4fe1\u606f\u62bd\u53d6\u4efb\u52a1\u5173\u6ce8\u4e8e\u5982\u4f55\u4ece\u8bed\u8a00\u4e2d\u63d0\u70bc\u77e5\u8bc6\uff0c\u5f80\u5f80\u4ee5\u5efa\u6784\u7ed3\u6784\u5316\u77e5\u8bc6\u5e93\u4f5c\u4e3a\u6700\u7ec8\u76ee\u6807\u3002\u800c\u4fe1\u606f\u68c0\u7d22\u4efb\u52a1\u5173\u6ce8\u4e8e\u6587\u6863\u7ea7\u7279\u5f81\u62bd\u53d6\u4e0e\u5feb\u901f\u68c0\u7d22\u3002\u7406\u8bba\u4e0a\uff0c\u4fe1\u606f\u68c0\u7d22\u4efb\u52a1\u5982\u679c\u53ef\u4ee5\u57fa\u4e8e\u4fe1\u606f\u62bd\u53d6\uff0c\u53ef\u4ee5\u5f97\u5230\u66f4\u52a0\u7cbe\u786e\u6df1\u5165\u7684\u68c0\u7d22\u7ed3\u679c\u3002\u7136\u800c\u5b9e\u9645\u4e0a\u8fd9\u5e76\u975e\u4e1a\u754c\u7684\u4e3b\u6d41\u65b9\u6cd5\u3002\u5177\u4f53\u800c\u8a00\uff0c\u4fe1\u606f\u68c0\u7d22\u548c\u6587\u672c\u6316\u6398\u4efb\u52a1\u5927\u81f4\u53ef\u4ee5\u5206\u62103\u7c7b\u3002<\/p>\n\n\n\n<p>1. \u6587\u672c\u4fe1\u606f\u62bd\u53d6\u4efb\u52a1\u5305\u62ec\uff1a\u547d\u540d\u5b9e\u4f53\u8bc6\u522b\uff08Named entity recognition\uff0c\u627e\u5230\u53e5\u5b50\u4e2d\u7684\u5b9e\u4f53\u63d0\u53ca\u5e76\u5224\u65ad\u5b9e\u4f53\u7c7b\u522b\uff09\uff0c\u5173\u7cfb\u62bd\u53d6 (relation extraction\uff0c\u5224\u65ad\u5b9e\u4f53\u4e4b\u95f4\u7684\u5173\u7cfb)\uff0c\u4e8b\u4ef6\u62bd\u53d6 (Event extraction\uff0c\u8bc6\u522b\/\u5206\u7c7b\u52a8\u8bcd\u5f62\u5f0f\u7684\u4e8b\u4ef6\u89e6\u53d1\u8bcd\uff0c\u4ee5\u53ca\u4e8b\u4ef6\u8bba\u5143)\uff0c\u5f00\u653e\u4fe1\u606f\u62bd\u53d6 (Open information extraction\uff0c\u548c\u4e0a\u8ff0\u4efb\u52a1\u5dee\u4e0d\u591a\uff0c\u6211\u7406\u89e3\u7684\u662f\u4e00\u822c\u6ca1\u6709\u4e25\u683c\u7684schema\u7684\u5b9a\u4e49\uff0c\u4e5f\u6ca1\u6709\u5f88\u591a\u76d1\u7763\uff0c\u5f62\u5f0f\u548c\u5185\u5bb9\u4e0a\u6bd4\u8f83open)\uff0c\u6587\u6863\u7ea7\u62bd\u53d6 (Document-level extraction)\uff0c\u591a\u8bed\u8a00\u62bd\u53d6 (Multilingual extraction)\u3002<\/p>\n\n\n\n<p>2.\u77e5\u8bc6\u5e93\u7684\u6784\u5efa\u4efb\u52a1\uff0c\u6bd4\u5982\u5b9e\u4f53\u8fde\u63a5\u548c\u6d88\u6b67 (Entity linking and disambiguation\uff0c\u5c06\u53e5\u5b50\u4e2d\u7684\u5b9e\u4f53\u4e0e\u77e5\u8bc6\u5e93\/ontology\u4e2d\u7684\u5b9e\u4f53\u5bf9\u5e94\u8d77\u6765\uff0c\u5e76\u6d88\u9664\u6b67\u4e49\uff0c\u6bd4\u5982\u5224\u65ad\u662f\u54ea\u4e2a\u674e\u5a1c)\uff0c\u77e5\u8bc6\u5e93\u6784\u5efa (Knowledge base construction\uff0c\u5f88\u591a\u7410\u788e\u7684\u70b9\uff0c\u6bd4\u5982Open IE\u4e2d\u63d0\u53d6\u7684\u5173\u7cfb\u4e5f\u9700\u8981\u548c\u77e5\u8bc6\u5e93\u5bf9\u9f50\uff0c\u540c\u6e90\u5f02\u6784\/\u5f02\u6e90\u5f02\u6784\/\u8de8\u8bed\u8a00\u77e5\u8bc6\u5e93\u5408\u5e76\u7b49)\u3002<\/p>\n\n\n\n<p>3.\u4fe1\u606f\u68c0\u7d22\uff0c\u6bd4\u5982\u6bb5\u843d\u68c0\u7d22 (Passage retrieval)\uff0c\u7a20\u5bc6\u5411\u91cf\u68c0\u7d22 (Dense retrieval)\uff0c\u6587\u6863\u8868\u5f81 (Document representation)\uff0c\u54c8\u5e0c (Hashing)\uff0c\u91cd\u6392\u5e8f (Re-ranking)\uff0c\u5bf9\u6bd4\u5b66\u4e60 (Constrastive learning)\u7b49\u3002<\/p>\n\n\n\n<p>\u4fe1\u606f\u68c0\u7d22\u5728ACL\u4e2d\u5206\u5f97\u6bd4\u8f83\u7cd9\uff0c\u56e0\u4e3a\u6574\u4f53\u800c\u8a00\uff0c\u4fe1\u606f\u68c0\u7d22\u6295SIGIR\/CIKM\u4e4b\u7c7b\u7684\u4f1a\u6bd4\u8f83\u591a\u3002<\/p>\n\n\n\n<p>\u4fe1\u606f\u62bd\u53d6\u4efb\u52a1\u8fd8\u6709\u4e00\u4e2a\u7279\u70b9\uff0c\u5c31\u662f\u7ecf\u5e38\u505a\u591a\u4efb\u52a1\u8054\u5408\u5b66\u4e60\uff0c\u6bd4\u5982\u5b9e\u4f53\u548c\u5173\u7cfb\u8054\u5408\u62bd\u53d6\uff08\u547d\u540d\u5b9e\u4f53\u8bc6\u522b+\u5173\u7cfb\u62bd\u53d6\uff09\u7b49\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5177\u4f53\u4efb\u52a1\u7684\u4e3e\u4f8b\uff1a<\/p>\n\n\n\n<p>1. \u547d\u540d\u5b9e\u4f53\u8bc6\u522b\uff08Named entity recognition\uff09<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic2.zhimg.com\/80\/v2-ee902f085c6414eda2283145a53f18bd_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<p>2. \u5173\u7cfb\u62bd\u53d6 (relation extraction\uff09<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic1.zhimg.com\/80\/v2-162a7aef56515b82bdc6ae773fc2029c_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<p>3.\u4e8b\u4ef6\u62bd\u53d6 (Event extraction\uff09<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic4.zhimg.com\/80\/v2-943348ca8be61b32502fb68db4dfdb07_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<p>4.\u5f00\u653e\u4fe1\u606f\u62bd\u53d6 (Open information extraction\uff09<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic4.zhimg.com\/80\/v2-8b63d88dd5ee59dd47e80b4181bb0b9f_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<p>5.\u5b9e\u4f53\u8fde\u63a5\u548c\u6d88\u6b67 (Entity linking and disambiguation\uff09<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic2.zhimg.com\/80\/v2-613847140be823b9d847ed641bced665_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<p>6.\u7a20\u5bc6\u5411\u91cf\u68c0\u7d22 (Dense retrieval)<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic1.zhimg.com\/80\/v2-c4721f955314be85df10373b063d3438_720w.webp\" alt=\"\"\/><figcaption class=\"wp-element-caption\">\u8fd9\u4e2a\u56fe\u4e0a\u753b\u7684Q\u548cP\u7684\u5339\u914d\uff0c\u5176\u5b9e\u4e5f\u7b97\u662f\u4e0b\u4e00\u90e8\u5206\u95ee\u7b54\u4e2d\u7684\u5185\u5bb9\u3002<\/figcaption><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h_605412919_8\">\u4e03\u3001\u4eba\u673a\u5bf9\u8bdd\u4e0e\u95ee\u7b54<\/h3>\n\n\n\n<p>\uff08\u4e8c\uff09\u5bf9\u8bdd\u548c\u4ea4\u4e92\u7cfb\u7edf (Dialogue and Interactive Systems)<\/p>\n\n\n\n<p>\uff08\u5341\u516b\uff09\u95ee\u7b54 (Question Answering)<\/p>\n\n\n\n<p>\u524d\u9762\u5728\u8c08\u673a\u5668\u7ffb\u8bd1\u65f6\u63d0\u5230\u4e86\uff0c\u95ee\u7b54\u3001\u5bf9\u8bdd \u548c\u673a\u5668\u7ffb\u8bd1\u4e00\u6837\uff0c\u4e5f\u662f\u5c5e\u4e8e\u5386\u53f2\u60a0\u4e45\u3001\u5f71\u54cd\u5e7f\u6cdb\u7684\u81ea\u7136\u8bed\u8a00\u4efb\u52a1\uff0c\u6240\u4ee5\u4e5f\u88ab\u5355\u5206\u51fa\u6765\u4e86\u4e00\u7c7b\u3002<\/p>\n\n\n\n<p>\u5b9e\u9645\u4e0a\uff0c\u95ee\u7b54\u548c\u5bf9\u8bdd\u6240\u7528\u7684\u65b9\u6cd5\u548c\u524d\u9762\u90a3\u4e9b\u4efb\u52a1\u662f\u5f88\u50cf\u7684\u3002\u6bd4\u5982\u57fa\u4e8e\u8bed\u4e49\u89e3\u6790\u7684\u95ee\u7b54\uff08semantic parsing based QA\uff09\uff0c\u4ee5\u53ca\u4e00\u4e9b\u77e5\u8bc6\u5e93\u95ee\u7b54\uff08knowledge based QA\uff09\u7684\u65b9\u6cd5\u548c\u524d\u9762\u7684parsing\u7684\u65b9\u6cd5\u662f\u5171\u901a\u7684\uff0c\u5e76\u7528\u5230\u4fe1\u606f\u62bd\u53d6\u7684\u4e00\u4e9b\u601d\u8def\uff1b\u5f88\u591a\u62bd\u53d6\u5f0f\u95ee\u7b54\uff08extractive QA\/MRC\uff09\u3001\u57fa\u4e8e\u5019\u9009\u91cd\u6392\u5e8f\u7684\u95ee\u7b54\uff08Information retrieval based QA\/Multiple choice QA\uff09\u3001\u68c0\u7d22\u5f0f\u5bf9\u8bdd\uff08Information retrieval based dialogue\uff09\uff0c\u4e5f\u662f\u7528\u5230\u4e86\u4fe1\u606f\u62bd\u53d6\u3001\u4fe1\u606f\u68c0\u7d22\u7684\u6280\u672f\uff1b\u751f\u6210\u5f0f\u5bf9\u8bdd\uff08generation based dialogue\uff09\u3001\u95ee\u9898\u751f\u6210\uff08question generation\uff09\u4ee5\u53ca\u751f\u6210\u5f0f\u5bf9\u8bdd\u8bc4\u4ef7\u65b9\u9762\u548c\u6587\u672c\u751f\u6210\u4efb\u52a1\u4e4b\u95f4\u6709\u5f88\u591a\u5171\u6027\uff1b\u4efb\u52a1\u578b\u5bf9\u8bdd\uff08Task-oriented dialogue\uff09\u548c\u4fe1\u606f\u62bd\u53d6\u4e4b\u95f4\u5173\u7cfb\u4e5f\u975e\u5e38\u5bc6\u5207\u3002<\/p>\n\n\n\n<p>\u95ee\u7b54\u548c\u5bf9\u8bdd\u6709\u4ec0\u4e48\u5dee\u522b\uff0c\u4e5f\u662f\u4e00\u4e2a\u7ecf\u5e38\u88ab\u95ee\u5230\u7684\u95ee\u9898\u3002\u6211\u611f\u89c9\uff0c\u95ee\u7b54\u5f88\u591a\u65f6\u5019\u671f\u5f85\u80fd\u591f\u83b7\u5f97\u4e00\u4e2a\u95ee\u9898\u7684\u7cbe\u51c6\u89e3\u7b54\uff0c\u6240\u4ee5\u7ecf\u5e38\u9700\u8981\u7ed3\u5408\u4fe1\u606f\u62bd\u53d6\u3001\u8bed\u4e49\u89e3\u6790\u3001\u77e5\u8bc6\u5e93\u4e0a\u7684\u64cd\u4f5c\u3002\u95ee\u7b54\u4e2d\u7684\u5bf9\u8bdd\u5f0f\u95ee\u7b54\uff0c\u4e00\u822c\u4e5f\u662f\u8ffd\u95ee\u7c7b\u7684\uff0c\u8865\u5145\u80cc\u666f\u4fe1\u606f\u7684\u6bd4\u8f83\u591a\u3002\u5bf9\u95ee\u7b54\u7684\u8bc4\u4ef7\uff0c\u5f88\u591a\u65f6\u5019\u770b\u7684\u662faccuracy\uff0cF1-score\u7b49\u7cbe\u786e\u6027\u7684\u6307\u6807\u3002\u800c\u5bf9\u8bdd\uff0c\u6709\u4e9b\u53ea\u662f\u95f2\u804a\uff0c\u6709\u4e9b\u5219\u662f\u5173\u6ce8\u4e8e\u5b8c\u6210\u4e00\u5b9a\u76ee\u7684\uff08\u4efb\u52a1\u578b\u5bf9\u8bdd\u3001\u5bf9\u8bdd\u63a8\u8350\uff09\u7b49\u3002\u66f4\u591a\u5730\u5173\u6ce8\u5982\u4f55\u751f\u6210\u8ba9\u4eba\u66f4\u611f\u5174\u8da3\u7684\u5185\u5bb9\uff0c\u8ba9\u5bf9\u8bdd\u66f4\u597d\u5730\u8fdb\u884c\u4e0b\u53bb\uff0c\u5e76\u5b8c\u6210\u4efb\u52a1\u3002\u4e00\u4e9b\u7ed3\u5408\u77e5\u8bc6\u3001\u60c5\u611f\u3001persona\u7b49\u7684\u65b9\u6cd5\uff0c\u4e5f\u7ecf\u5e38\u4e3a\u4e86\u8f85\u52a9\u8fd9\u4e00\u76ee\u7684\u3002\u8bc4\u4ef7\u6307\u6807\u7ecf\u5e38\u4f1a\u770b\u5bf9\u8bdd\u7684\u8f6e\u6570\uff0cbleu\u7b49\u6587\u672c\u751f\u6210\u7684\u6307\u6807\uff0c\u4eba\u5de5\u8bc4\u4ef7\u7b49\u3002<\/p>\n\n\n\n<p>\u95ee\u7b54\u548c\u5bf9\u8bdd\u7684\u7814\u7a76\u65b9\u5411\uff0c\u5927\u81f4\u53ef\u4ee5\u5206\u6210\u4ee5\u4e0b3\u7c7b\uff1a<\/p>\n\n\n\n<p>1. \u4e0d\u540c\u7684\u5f62\u5f0f\u3001\u8bed\u5883\u3001\u5185\u5bb9\u4e0b\u7684\u95ee\u7b54\/\u5bf9\u8bdd\uff1a\u6bd4\u5982\u5e38\u8bc6\u95ee\u7b54 (Commonsense QA)\u3001\u9605\u8bfb\u7406\u89e3 (Reading comprehension)\u3001\u591a\u6a21\u6001\u95ee\u7b54 (Multimodal QA)\u3001\u77e5\u8bc6\u5e93\u95ee\u7b54 (Knowledge base QA)\u3001\u591a\u8df3\u95ee\u7b54 (Multihop QA)\u3001\u751f\u7269\u533b\u5b66\u95ee\u7b54 (Biomedical QA)\u3001\u591a\u8bed\u8a00\u95ee\u7b54 (Multilingual QA)\u3001\u5bf9\u8bdd\u95ee\u7b54 (Conversational QA)\u3001\u6570\u5b66\u95ee\u7b54 (Math QA)\u3001\u8868\u683c\u95ee\u7b54 (Table QA)\u3001\u5f00\u653e\u57df\u95ee\u7b54 (Open-domain QA)\u3001\u53e3\u8bed\u5bf9\u8bdd\u7cfb\u7edf (Spoken dialogue systems)\u3001\u4efb\u52a1\u578b\u5bf9\u8bdd (Task-oriented Dialogue\uff09\u3001\u591a\u6a21\u6001\u5bf9\u8bdd\u7cfb\u7edf (Multi-modal dialogue systems)\u3001\u4e92\u52a8\u8bb2\u6545\u4e8b (Interactive storytelling)\uff0c\u77e5\u8bc6\u9a71\u52a8\u5bf9\u8bdd (Grounded dialog)\u3002\u4ee5\u53ca\u4e00\u4e9b\u76f8\u5173\u4efb\u52a1\uff0c\u5982\u5bf9\u8bdd\u72b6\u6001\u8ffd\u8e2a (Dialogue state tracking)\uff0c\u95ee\u9898\u751f\u6210 (Question generation)\u3002<\/p>\n\n\n\n<p>2. \u95ee\u7b54\u548c\u5bf9\u8bdd\u6bd4\u8f83\u5173\u6ce8\u7684\u6df1\u5c42\u8bed\u4e49\u7684\u5904\u7406\uff0c\u6bd4\u5982\u8bed\u4e49\u5206\u6790 (Semantic parsing)\uff0c\u5bf9\u8bdd\u5e38\u8bc6\u63a8\u7406 (Commonsense reasoning)\uff0c\u903b\u8f91\u63a8\u7406 (Logic reasoning)\uff0c\u53ef\u89e3\u91ca\u6027 (Interpretability)\u3002<\/p>\n\n\n\n<p>3.\u95ee\u7b54\u548c\u5bf9\u8bdd\u6bd4\u8f83\u5173\u6ce8\u7684\u57fa\u7840\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001\u673a\u5668\u5b66\u4e60\u95ee\u9898\u3002\u6bd4\u5982\u5c11\u6837\u672c\u95ee\u7b54 (Few-shot QA)\uff0c\u5bf9\u8bdd\u8bc4\u4ef7\u6307\u6807 (Evaluation and metrics)\uff0c\u504f\u89c1\u548c\u6bd2\u6027 (Bias\/toxity)\uff0c\u591a\u8bed\u8a00\u548c\u4f4e\u8d44\u6e90 (Multilingual \/ low-resource)\uff0c\u4eba\u5728\u73af\u5185\u65b9\u6cd5 (Human-in-a-loop)\u7b49\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5177\u4f53\u4efb\u52a1\u7684\u4e3e\u4f8b\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u9605\u8bfb\u7406\u89e3 (Reading comprehension)<\/li>\n<\/ol>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic1.zhimg.com\/80\/v2-60e2a820b63fd2d58f5de8f9c25ac500_720w.webp\" alt=\"\"\/><figcaption class=\"wp-element-caption\">\u62bd\u53d6\u5f0f\u9605\u8bfb\u7406\u89e3<\/figcaption><\/figure>\n\n\n\n<p>2.\u591a\u8df3\u95ee\u7b54 (Multihop QA)<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic2.zhimg.com\/80\/v2-b842319a8b59524758e781cb52bd1e5d_720w.webp\" alt=\"\"\/><figcaption class=\"wp-element-caption\">\u8fd9\u4e2a\u5176\u5b9e\u4e5f\u7b97\u9605\u8bfb\u7406\u89e3 (Reading comprehension)<\/figcaption><\/figure>\n\n\n\n<p>3. \u6570\u5b66\u95ee\u7b54 (Math QA)<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic1.zhimg.com\/80\/v2-246c59cdc50fdb68104b565a5b951008_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<p>4. \u8868\u683c\u95ee\u7b54 (Table QA)<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic4.zhimg.com\/80\/v2-fe94f9b00b96be1dab450d99c261ad03_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<p>5. \u4efb\u52a1\u578b\u5bf9\u8bdd (Task-oriented Dialogue\uff09<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic1.zhimg.com\/80\/v2-910161820bd531e6e334137e816bd75c_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<p>6. \u60c5\u611f\u5bf9\u8bdd (Empathetic Dialogue\uff09<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic4.zhimg.com\/80\/v2-6d15b18e5e0fc8be94af3bd788c945df_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<p>7. \u77e5\u8bc6\u9a71\u52a8\u5bf9\u8bdd (Grounded dialog)<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic2.zhimg.com\/80\/v2-804ca820e3b2e9b1b5fb020199b1e671_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<p>8.persona dialogue\uff08\u4e5f\u7b97\u4e00\u79cd\u77e5\u8bc6\u9a71\u52a8)<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/pic4.zhimg.com\/80\/v2-f495e131caf7a137ef20ef881eb2e3cb_720w.webp\" alt=\"\"\/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h_605412919_9\">\u516b\u3001\u60c5\u611f\u8ba1\u7b97<\/h3>\n\n\n\n<p>\uff08\u4e8c\u5341\u4e8c\uff09\u60c5\u611f\u5206\u6790\u3001\u6587\u672c\u98ce\u683c\u5206\u6790\u548c\u8bba\u70b9\u6316\u6398 (Sentiment Analysis, Stylistic Analysis and Argument Mining)<\/p>\n\n\n\n<p>\u4ece\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u5b66\u79d1\u7684\u89d2\u5ea6\uff0c\u60c5\u611f\u5206\u6790\u5e76\u975e\u4e00\u4e2a\u5927\u7684\u65b9\u5411\u3002\u7b80\u5355\u7684\u8bcd\u6c47\u3001\u53e5\u5b50\u7ea7\u60c5\u611f\u5206\u6790\uff0c\u7b97\u662f\u201c\u81ea\u7136\u8bed\u8a00\u8ba4\u77e5\u3001\u7406\u89e3\u4e0e\u63a8\u7406\u201d\u4e2d\u7684\u201c\u8bed\u4e49\u5b66\u201d\u7684\u8303\u7574\u3002\u8fd1\u5e74\u6765\uff0c\u60c5\u611f\u5206\u6790\u73a9\u51fa\u82b1\u6d3b\uff0c\u4e5f\u4e0d\u8fc7\u662f\u6709\u4e00\u4e9b\u89c2\u70b9\u68c0\u6d4b (Stance detection\uff0c\u800c\u975e\u6b63\u8d1f\u7684\u4e8c\u503c\u60c5\u611f)\uff0caspect based sentiment analysis\u7b49\u4efb\u52a1\uff0c\u4e5f\u7b97\u662f\u5728\u8bed\u4e49\u5b66\u3001\u4fe1\u606f\u62bd\u53d6\u7684\u8303\u7574\u5185\u3002<\/p>\n\n\n\n<p>\u6211\u731c\uff0c\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u59d4\u5c06\u201c\u60c5\u611f\u8ba1\u7b97\u201d\u5355\u5217\u51fa\u6765\uff0c\u4e3b\u8981\u662f\u8003\u8651\u5230\u8fd9\u4e2a\u4efb\u52a1\u7684\u5e94\u7528\u4ef7\u503c\u3002\u8bed\u8a00\u4e0a\u60c5\u611f\u4e0d\u8fc7\u662f\u8bed\u4e49\u7684\u4e00\u4e2a\u65b9\u9762\uff0c\u4f46\u4eba\u7c7b\u5bf9\u53e5\u5b50\u7684\u60c5\u611f\u503e\u5411\u975e\u5e38\u654f\u611f\uff0c\u4fd7\u8bdd\u8bf4\u201c\u8bdd\u8981\u542c\u97f3\uff0c\u9523\u9f13\u542c\u58f0\u201d\u3002\u8fd9\u5c31\u5bfc\u81f4\u5fae\u535a\u7b49\u793e\u4ea4\u5a92\u4f53\u7684\u60c5\u611f\u5206\u6790\uff0c\u8c46\u74e3\u5f71\u8bc4\u3001\u5546\u54c1\u8bc4\u8bba\u3001\u5927\u4f17\u70b9\u8bc4\u7b49\u60c5\u611f\u5206\u6790\uff0c\u65b0\u95fb\u8bc4\u8bba\u7684\u60c5\u611f\u3001\u7acb\u573a\u5206\u6790\u53d8\u5f97\u5c24\u4e3a\u91cd\u8981\u3002\u5982\u679c\u518d\u4e0a\u5347\u5230\u8206\u60c5\u5206\u6790\u7684\u5c42\u9762\uff0c\u5c31\u66f4\u662f\u56fd\u4e4b\u5927\u5668\u4e86\u3002\u540c\u65f6\uff0c\u4e5f\u6709\u5f88\u591a\u5927\u4f6c\u5728\u7814\u7a76\u8fd9\u4e2a\u65b9\u9762\u3002<\/p>\n\n\n\n<p>\u540e\u9762\u7684\u7b2c\u4e5d\u9879\uff0c\u201c\u793e\u4f1a\u5a92\u4f53\u5904\u7406\u4e0e\u8de8\u5a92\u4f53\u5206\u6790\u201d\uff0c\u4e5f\u662f\u7c7b\u4f3c\u7684\u9053\u7406\u3002<\/p>\n\n\n\n<p>ACL\u7684\u201c\u60c5\u611f\u5206\u6790\u3001\u6587\u672c\u98ce\u683c\u5206\u6790\u548c\u8bba\u70b9\u6316\u6398\u201d\uff0c\u5176\u5b9e\u4e5f\u5305\u542b\u4e86\u60c5\u611f\u8ba1\u7b97\u4e4b\u5916\u7684\u5185\u5bb9\uff0c\u6bd4\u5982\u8bba\u70b9\u6316\u6398\u76f8\u5173\u7684\uff0c\u5e94\u8be5\u5c5e\u4e8e\u4fe1\u606f\u62bd\u53d6\u4e0e\u6587\u672c\u751f\u6210\uff0c\u5305\u62ec\u8bba\u70b9\u6316\u6398 (Argument mining)\uff0c\u8bba\u8bc1\u65b9\u6848\u548c\u63a8\u7406 (Argument schemes and reasoning)\uff0c\u8bba\u70b9\u751f\u6210 (Argument generation)\uff0c\u8bba\u70b9\u8d28\u91cf\u8bc4\u4ef7 (Argument quality assessment\uff0c\u6211\u89c9\u5f97\u8fd9\u4e2a\u6709\u70b9\u8ba1\u7b97\u793e\u4f1a\u5b66\u7684\u611f\u89c9\uff0c\u6bd4\u5982\u5ead\u5ba1\u8fa9\u8bba\u5206\u6790)\u3002\u98ce\u683c\u5206\u6790\u76f8\u5173\u7684\uff0c\u6211\u89c9\u5f97\u5c5e\u4e8e\u6587\u672c\u8bed\u4e49\u4e0e\u6587\u672c\u751f\u6210\uff0c\u5305\u98ce\u683c\u5206\u6790 (Style analysis)\uff0c\u98ce\u683c\u751f\u6210 (Style generation)\u3002<\/p>\n\n\n\n<p>\u6211\u5bf9\u60c5\u611f\u8ba1\u7b97\u5e76\u6ca1\u6709\u5f88\u6df1\u5165\u7684\u7814\u7a76\uff0c\u4ee5\u4e0a\u4e3b\u8981\u662f\u6211\u81ea\u5df1\u7684\u4e00\u70b9\u7406\u89e3\uff0c\u5982\u6709\u758f\u6f0f\u5728\u6240\u96be\u514d\uff0c\u6b22\u8fce\u6307\u6b63\u3002<\/p>\n\n\n\n<p>\u8fd9\u4e24\u7bc7\u6587\u7ae0\u8bb2\u7684\u60c5\u611f\u5206\u6790\u6570\u636e\u96c6\uff0c\u6211\u611f\u89c9\u5199\u5f97\u90fd\u633a\u597d\u7684\uff0c\u5c31\u4e0d\u8d34\u56fe\u4e86\u3002<\/p>\n\n\n\n<p><a target=\"_blank\" href=\"https:\/\/link.zhihu.com\/?target=https%3A\/\/research.aimultiple.com\/sentiment-analysis-dataset\/\" rel=\"noreferrer noopener\">Top 8 Sentiment Analysis Datasets in 2023\u200bresearch.aimultiple.com\/sentiment-analysis-dataset\/<\/a><\/p>\n\n\n\n<p><a target=\"_blank\" href=\"https:\/\/zhuanlan.zhihu.com\/p\/80029681\" rel=\"noreferrer noopener\">\u5c18\u5fc3\uff1a\u6587\u672c\u5206\u7c7b\uff08\u60c5\u611f\u5206\u6790\uff09\u4e2d\u6587\u6570\u636e\u96c6\u6c47\u603b276 \u8d5e\u540c \u00b7 25 \u8bc4\u8bba\u6587\u7ae0<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h_605412919_10\">\u4e5d\u3001\u793e\u4f1a\u5a92\u4f53\u5904\u7406\u4e0e\u8de8\u5a92\u4f53\u5206\u6790<\/h3>\n\n\n\n<p>\uff08\u4e00\uff09\u8ba1\u7b97\u793e\u4f1a\u79d1\u5b66\u548c\u6587\u5316\u5206\u6790 (Computational Social Science and Cultural Analytics)<\/p>\n\n\n\n<p>\uff08\u4e5d\uff09\u89c6\u89c9\u3001\u673a\u5668\u4eba\u7b49\u9886\u57df\u7684\u8bed\u8a00\u57fa\u7840 (Language Grounding to Vision, Robotics and Beyond)<\/p>\n\n\n\n<p>\uff08\u4e8c\u5341\u4e09\uff09\u8bed\u97f3\u548c\u591a\u6a21\u6001 (Speech and Multimodality)<\/p>\n\n\n\n<p>\u8fd9\u4e2a\u7c7b\u522b\u6211\u5e76\u4e0d\u61c2\u3002\u6211\u5c31\u5f53\u793e\u4f1a\u5a92\u4f53\u5904\u7406\u662f\u8ba1\u7b97\u793e\u4f1a\u79d1\u5b66\uff08\u5b9e\u9645\u4e0a\uff0c\u793e\u4f1a\u5a92\u4f53\u53ea\u662f\u8ba1\u7b97\u793e\u4f1a\u5b66\u7684\u6570\u636e\u6e90\u7684\u4e00\u5c0f\u90e8\u5206\uff09\uff0c\u800c\u8de8\u5a92\u4f53\u5206\u6790\u6307\u591a\u6a21\u6001\u4e86\u3002<\/p>\n\n\n\n<p>\u8ba1\u7b97\u793e\u4f1a\u79d1\u5b66\u76f8\u5173\u7684\u4efb\u52a1\u6709\uff1a\u4eba\u7c7b\u884c\u4e3a\u5206\u6790 (Human behavior analysis)\uff0c\u6001\u5ea6\u68c0\u6d4b (Stance detection)\uff0c\u4ec7\u6068\u8a00\u8bba\u68c0\u6d4b (Hate speech detection)\uff0c\u9519\u8bef\u4fe1\u606f\u68c0\u6d4b\u548c\u5206\u6790 (Misinformation detection and analysis)\uff0c\u4eba\u53e3\u5fc3\u7406\u753b\u50cf\u9884\u6d4b (psycho-demographic trait prediction)\uff0c\u60c5\u7eea\u68c0\u6d4b\u548c\u5206\u6790 (emotion detection and 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