{"id":87517,"date":"2023-02-23T14:59:04","date_gmt":"2023-02-23T06:59:04","guid":{"rendered":"http:\/\/cips-cl.org\/?page_id=87517"},"modified":"2025-06-30T17:34:16","modified_gmt":"2025-06-30T09:34:16","slug":"ccl","status":"publish","type":"page","link":"http:\/\/cips-cl.org\/?page_id=87517","title":{"rendered":"CCL"},"content":{"rendered":"\n

 <\/p>\n

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\u4e2d\u56fd\u8ba1\u7b97\u8bed\u8a00\u5b66\u5927\u4f1a\uff08China National Conference on Computational Linguistics\uff0c\u7b80\u79f0CCL\uff09\u4ece1991\u5e74\u5f00\u59cb\u6bcf\u4e24\u5e74\u4e3e\u529e\u4e00\u6b21\uff0c\u4ece2013\u5e74\u5f00\u59cb\u6bcf\u5e74\u4e3e\u529e\u4e00\u6b21\u30021991\u81f32017\u5e74\u4e4b\u95f4\u7684\u4f1a\u8bae\u4e2d\u6587\u540d\u79f0\u4e3a\u201c\u5168\u56fd\u8ba1\u7b97\u8bed\u8a00\u5b66\u5b66\u672f\u4f1a\u8bae\u201d\u3002CCL\u7740\u91cd\u4e8e\u4e2d\u56fd\u5883\u5185\u5404\u7c7b\u8bed\u8a00\u7684\u8ba1\u7b97\u5904\u7406\uff0c\u4e3a\u4f20\u64ad\u8ba1\u7b97\u8bed\u8a00\u5b66\u6700\u65b0\u7684\u5b66\u672f\u548c\u6280\u672f\u6210\u679c\u63d0\u4f9b\u4e86\u5e7f\u6cdb\u7684\u4ea4\u6d41\u5e73\u53f0\u3002\u5386\u5e74\u627f\u529e\u5355\u4f4d\u4fe1\u606f\u5982\u4e0b\uff1a<\/p>\n\n\n\n

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\u5c4a\u6570<\/td>\u65f6\u95f4<\/td>\u5730\u70b9<\/td>\u627f\u529e\u5355\u4f4d<\/td>\u4f1a\u8bae\u7f51\u7ad9<\/td><\/tr>
24<\/td>2025<\/td>\u6d4e\u5357<\/td>\u9f50\u9c81\u5de5\u4e1a\u5927\u5b66\uff08\u5c71\u4e1c\u7701\u79d1\u5b66\u9662<\/td>\u94fe\u63a5<\/a><\/td><\/tr>
23<\/td>2024<\/td>\u592a\u539f<\/td>\u5c71\u897f\u5927\u5b66<\/td>\u94fe\u63a5<\/a><\/td><\/tr>
22<\/td>2023<\/td>\u54c8\u5c14\u6ee8<\/td>\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66<\/td>\u94fe\u63a5<\/a><\/td><\/tr>
21<\/td>2022<\/td>\u5357\u660c<\/td>\u6c5f\u897f\u5e08\u8303\u5927\u5b66<\/td>\u94fe\u63a5<\/a><\/td><\/tr>
20<\/td>2021<\/td>\u547c\u548c\u6d69\u7279<\/td>\u5185\u8499\u53e4\u5927\u5b66<\/td>\u94fe\u63a5<\/a><\/td><\/tr>
19<\/td>2020<\/td>\u7ebf\u4e0a<\/td>\u6d77\u5357\u5927\u5b66<\/td>\u94fe\u63a5<\/a><\/td><\/tr>
18<\/td>2019<\/td>\u6606\u660e<\/td>\u6606\u660e\u7406\u5de5\u5927\u5b66<\/td>\u94fe\u63a5<\/a><\/td><\/tr>
17<\/td>2018<\/td>\u957f\u6c99<\/td>\u957f\u6c99\u7406\u5de5\u5927\u5b66<\/td>\u94fe\u63a5<\/a><\/td><\/tr>
16<\/td>2017<\/td>\u5357\u4eac<\/td>\u5357\u4eac\u5e08\u8303\u5927\u5b66<\/td>\u94fe\u63a5<\/a><\/td><\/tr>
15<\/td>2016<\/td>\u70df\u53f0<\/td>\u9c81\u4e1c\u5927\u5b66<\/td>\u94fe\u63a5<\/a><\/td><\/tr>
14<\/td>2015<\/td>\u5e7f\u5dde<\/td>\u5e7f\u5dde\u5916\u8bed\u5916\u8d38\u5927\u5b66<\/td>\u94fe\u63a5<\/a><\/td><\/tr>
13<\/td>2014<\/td>\u6b66\u6c49<\/td>\u534e\u4e2d\u5e08\u8303\u5927\u5b66<\/td>\u94fe\u63a5<\/a><\/td><\/tr>
12<\/td>2013<\/td>\u82cf\u5dde<\/td>\u82cf\u5dde\u5927\u5b66<\/td>\u94fe\u63a5<\/a><\/td><\/tr>
11<\/td>2011<\/td>\u6d1b\u9633<\/td>\u4e2d\u56fd\u4eba\u6c11\u89e3\u653e\u519b\u5916\u56fd\u8bed\u5b66\u9662<\/td> <\/td><\/tr>
10<\/td>2009<\/td>\u70df\u53f0<\/td>\u9c81\u4e1c\u5927\u5b66<\/td> <\/td><\/tr>
9<\/td>2007<\/td>\u5927\u8fde<\/td>\u5927\u8fde\u7406\u5de5\u5927\u5b66<\/td> <\/td><\/tr>
8<\/td>2005<\/td>\u5357\u4eac<\/td>\u5357\u4eac\u5e08\u8303\u5927\u5b66<\/td> <\/td><\/tr>
7<\/td>2003<\/td>\u54c8\u5c14\u6ee8<\/td>\u54c8\u5c14\u6ee8\u5de5\u4e1a\u5927\u5b66<\/td> <\/td><\/tr>
6<\/td>2001<\/td>\u592a\u539f<\/td>\u5c71\u897f\u5927\u5b66<\/td> <\/td><\/tr>
5<\/td>1999<\/td>\u5317\u4eac<\/td>\u6e05\u534e\u5927\u5b66<\/td> <\/td><\/tr>
4<\/td>1997<\/td>\u5317\u4eac<\/td>\u6e05\u534e\u5927\u5b66<\/td> <\/td><\/tr>
3<\/td>1995<\/td>\u4e0a\u6d77<\/td>\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66<\/td> <\/td><\/tr>
2<\/td>1993<\/td>\u53a6\u95e8<\/td>\u53a6\u95e8\u5927\u5b66<\/td> <\/td><\/tr>
1<\/td>1991<\/td>\u676d\u5dde<\/td>\u676d\u5dde\u7535\u5b50\u5de5\u4e1a\u5b66\u9662<\/td> <\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n

CCL\u8bbe\u7acb\u6700\u4f73\u8bba\u6587\u5956\uff0c \u5bf9\u9ad8\u8d28\u91cf\u4e2d\u6587\u548c\u82f1\u6587\u7a3f\u4ef6\u5206\u522b\u4e88\u4ee5\u5956\u52b1\uff0c\u7531\u7a0b\u5e8f\u59d4\u5458\u4f1a\u8d1f\u8d23\u8bc4\u9009\uff0c2014\u5e74\u81f32018\u5e74\u671f\u95f4\u6700\u4f73\u8bba\u6587\u5956\u7531CCL\u548cNLP-NABD\u8054\u5408\u8bbe\u7acb\uff0c\u4ece2019\u5e74\u8d77\uff0cNLP-NABD\u505c\u529e\u3002CCL\u6700\u4f73\u8bba\u6587\u5956\u7528\u4e8e\u5956\u52b1\u4e2d\u6587\u4fe1\u606f\u5904\u7406\u65b9\u9762\u7684\u4f18\u79c0\u4e2d\u6587\u8bba\u6587\uff0cNLP-NABD\u6700\u4f73\u8bba\u6587\u5956\u7528\u4e8e\u5956\u52b1\u5927\u6570\u636e\u73af\u5883\u4e0b\u81ea\u7136\u8bed\u8a00\u5904\u7406\u65b9\u9762\u7684\u4f18\u79c0\u82f1\u6587\u8bba\u6587\u3002\u7a0b\u5e8f\u59d4\u5458\u4f1a\u5c06\u4e3a\u6bcf\u7bc7\u83b7\u5956\u8bba\u6587\u9881\u53d1\u5956\u91d1\u548c\u83b7\u5956\u8bc1\u4e66\u3002CCL\u6700\u4f73\u8bba\u6587\u5956\u540c\u65f6\u9881\u7ed9\u4f18\u79c0\u7684\u4e2d\u6587\u8bba\u6587\u548c\u82f1\u6587\u8bba\u6587\u3002 \u5386\u5e74CCL\u6700\u4f73\u8bba\u6587\u5956\u540d\u5355\uff1a<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\u65f6\u95f4<\/td>\n\u7c7b\u578b<\/td>\n\u6807\u9898<\/td>\n\u4f5c\u8005<\/td>\n<\/tr>\n
2021<\/td>\n\u6700\u4f73\u4e2d\u6587<\/td>\n\u57fa\u4e8e\u8bcd\u4fe1\u606f\u5d4c\u5165\u7684\u6c49\u8bed\u6784\u8bcd\u7ed3\u6784\u8bc6\u522b\u7814\u7a76<\/a><\/td>\n\u90d1\u5a73, \u6bb7\u96c5\u7426, \u738b\u60a6, \u4ee3\u8fbe\u52a2, \u5218\u626c<\/td>\n<\/tr>\n
\u6700\u4f73\u4e2d\u6587<\/td>\n\u5229\u7528\u56fe\u50cf\u63cf\u8ff0\u4e0e\u77e5\u8bc6\u56fe\u8c31\u589e\u5f3a\u8868\u793a\u7684\u89c6\u89c9\u95ee\u7b54<\/a><\/td>\n\u738b\u5c79\u8d85\uff0c\u6731\u6155\u534e\uff0c\u8bb8\u6668\uff0c\u5f20\u7430\uff0c\u738b\u4f1a\u73cd\uff0c\u6731\u9756\u6ce2<\/td>\n<\/tr>\n
\u6700\u4f73\u8d44\u6e90<\/td>\n\u53e4\u6c49\u8bed\u8bcd\u4e49\u6807\u6ce8\u8bed\u6599\u5e93\u7684\u6784\u5efa\u53ca\u5e94\u7528\u7814\u7a76<\/a><\/td>\n\u8212\u857e, \u90ed\u61ff\u9e3e, \u738b\u6167\u840d, \u5f20\u5b66\u6d9b, \u80e1\u97e7\u594b<\/td>\n<\/tr>\n
\u6700\u4f73\u82f1\u6587<\/td>\nReducing Length Bias in Scoring Neural Machine Translation via a Causal Inference Method<\/a><\/td>\nXuewen Shi, Heyan Huang, Ping Jian and Yi-Kun Tang<\/td>\n<\/tr>\n
\u6700\u4f73\u82f1\u6587<\/td>\nIncorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks<\/a><\/td>\nXiachong Feng, Xiaocheng Feng and Bing Qin<\/td>\n<\/tr>\n
2020<\/td>\n\u6700\u4f73\u4e2d\u6587<\/td>\n\u9762\u5411\u4e2d\u6587AMR\u6807\u6ce8\u4f53\u7cfb\u7684\u517c\u8bed\u8bed\u6599\u5e93\u6784\u5efa\u53ca\u8bc6\u522b\u7814\u7a76<\/a><\/td>\n\u4faf\u6587\u60e0, \u66f2\u7ef4\u5149, \u9b4f\u5ead\u65b0, \u674e\u658c, \u987e\u5f66\u6167, \u5468\u4fca\u751f<\/td>\n<\/tr>\n
\u6700\u4f73\u4e2d\u6587<\/td>\n\u9762\u5411\u53f8\u6cd5\u9886\u57df\u7684\u9ad8\u8d28\u91cf\u5f00\u6e90\u85cf\u6c49\u5e73\u884c\u8bed\u6599\u5e93\u6784\u5efa<\/a><\/td>\n\u6c99\u4e5d, \u5468\u9e6d\u7434, \u51af\u51b2, \u674e\u6d2a\u653f, \u5f20\u5929\u592b, \u6167\u6167<\/td>\n<\/tr>\n
\u6700\u4f73\u82f1\u6587<\/td>\nTowards Causal Explanation Detection with Pyramid Salient-Aware Network<\/a><\/td>\nXinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao<\/td>\n<\/tr>\n
\u6700\u4f73\u82f1\u6587<\/td>\nLiveQA: A Question Answering Dataset over Sports Live<\/a><\/td>\nQianying Liu, Sicong Jiang , Yizhong Wang and Sujian Li<\/td>\n<\/tr>\n
2019<\/td>\n\u6700\u4f73\u4e2d\u6587<\/td>\n\u7ed3\u5408\u89c4\u5219\u84b8\u998f\u7684\u60c5\u611f\u539f\u56e0\u53d1\u73b0\u65b9\u6cd5<\/a><\/td>\n\u9c8d\u5efa\u7af9\uff0c\u84dd\u606d\u5f3a\uff0c\u5deb\u7ee7\u9e4f\uff0c\u5f90\u777f\u5cf0<\/td>\n<\/tr>\n
\u6700\u4f73\u4e2d\u6587<\/td>\n\u6c49\u8bed\u590d\u5408\u540d\u8bcd\u77ed\u8bed\u8bed\u4e49\u5173\u7cfb\u77e5\u8bc6\u5e93\u6784\u5efa\u4e0e\u81ea\u52a8\u8bc6\u522b\u7814\u7a76<\/a><\/td>\n\u5f20\u6587\u654f\uff0c\u674e\u534e\u52c7\uff0c\u90b5\u8273\u79cb<\/td>\n<\/tr>\n
\u6700\u4f73\u82f1\u6587<\/td>\nHow to Fine-Tune BERT for Text Classification?<\/a><\/td>\nChi Sun, Xipeng Qiu, Yige Xu and Xuanjing Huang<\/td>\n<\/tr>\n
\u6700\u4f73\u82f1\u6587<\/td>\nReconstructed Option Rereading Network for Opinion Questions Reading Comprehension<\/a><\/td>\nDelai Qiu, Liang Bao, Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao and Xiangwen Liao<\/td>\n<\/tr>\n
2018<\/td>\n\u6700\u4f73\u4e2d\u6587<\/td>\n\u57fa\u4e8e\u795e\u7ecf\u7f51\u7edc\u7684\u96c6\u53e5\u8bd7\u81ea\u52a8\u751f\u6210<\/a><\/td>\n\u6881\u5065\u6960\uff0c\u5b59\u8302\u677e\uff0c\u77e3\u6653\u6c85\uff0c\u6768\u6210\uff0c\u9648\u6167\u654f\uff0c\u5218\u6b63\u7693<\/td>\n<\/tr>\n
\u6700\u4f73\u4e2d\u6587<\/td>\n\u4e2d\u6587\u57fa\u672c\u590d\u5408\u540d\u8bcd\u77ed\u8bed\u8bed\u4e49\u5173\u7cfb\u4f53\u7cfb\u53ca\u77e5\u8bc6\u5e93\u6784\u5efa<\/a><\/td>\n\u5218\u9e4f\u8fdc\uff0c\u5218\u7389\u6d01<\/td>\n<\/tr>\n
\u6700\u4f73\u82f1\u6587<\/td>\nType Hierarchy Enhanced Heterogeneous Network Embedding for Fine-Grained Entity Typing in Knowledge Bases<\/a><\/td>\nHailong Jin, Lei Hou and Juanzi Li<\/td>\n<\/tr>\n
\u6700\u4f73\u82f1\u6587<\/td>\nRevisiting Correlations between Intrinsic and Extrinsic Evaluations of Word Embeddings<\/a><\/td>\nYuanyuan Qiu, Hongzheng Li, Shen Li, Yingdi Jiang, Renfen Hu and Lijiao Yang<\/td>\n<\/tr>\n
2017<\/td>\n\u6700\u4f73\u4e2d\u6587<\/td>\n\u878d\u5408\u6982\u5ff5\u5bf9\u9f50\u4fe1\u606f\u7684\u4e2d\u6587AMR\u8bed\u6599\u5e93\u7684\u6784\u5efa<\/a><\/td>\n\u674e\u658c\uff0c\u95fb\u5a9b\uff0c\u5b8b\u4e3d\uff0c\u535c\u4e3d\u541b\uff0c\u66f2\u7ef4\u5149\uff0c\u859b\u5ff5\u6587<\/td>\n<\/tr>\n
\u6700\u4f73\u82f1\u6587<\/td>\nUsing Cost-Sensitive Ranking Loss to Improve Distant Supervised Relation Extraction<\/a><\/td>\nDaojian Zeng, Junxin Zeng and Yuan Dai<\/td>\n<\/tr>\n
2016<\/td>\n\u6700\u4f73\u4e2d\u6587<\/td>\n\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u52a0\u5f3a\u7684\u6df7\u5408\u63a8\u8350\u65b9\u6cd5<\/a><\/td>\n\u4e01\u5f3c\u539f\uff0c\u5f20\u654f\uff0c\u8c2d\u4e91\u5fd7\uff0c\u5218\u5955\u7fa4\uff0c\u9a6c\u5c11\u5e73<\/td>\n<\/tr>\n
\u6700\u4f73\u4e2d\u6587<\/td>\n\u4f9d\u5b58\u8fb9\u8f6c\u6362\u7ffb\u8bd1\u89c4\u5219\u751f\u6210\u5668<\/a><\/td>\n\u9648\u5b8f\u7533\uff0c\u5218\u7fa4<\/td>\n<\/tr>\n
\u6700\u4f73\u82f1\u6587<\/td>\nTransition-based Chinese Semantic Dependency Graph Parsing<\/a><\/td>\nYuxuan Wang, Jiang Guo, Wanxiang Che and Ting Liu<\/td>\n<\/tr>\n
\u6700\u4f73\u82f1\u6587<\/td>\nEvent Extraction via Bidirectional Long Short-Term Memory Tensor Neural Networks<\/a><\/td>\nYubo Chen, Shulin Liu, Shizhu He, Kang Liu and Jun Zhao<\/td>\n<\/tr>\n
2015<\/td>\n\u6700\u4f73\u82f1\u6587<\/td>\nA Neural Network based Translation Constrained Reranking Model for Chinese Dependency Parsing<\/a><\/td>\nMiaohong Chen, Baobao Chang and Yang Liu<\/td>\n<\/tr>\n
2014<\/td>\n\u6700\u4f73\u4e2d\u6587<\/td>\n\u4ece\u5e7f\u4e49\u8bdd\u9898\u7ed3\u6784\u8003\u5bdf\u6c49\u8bed\u7bc7\u7ae0\u8bdd\u9898\u8ba4\u77e5\u590d\u6742\u5ea6<\/a><\/td>\n\u5362\u8fbe\u5a01\uff0c\u5b8b\u67d4\uff0c\u5c1a\u82f1<\/td>\n<\/tr>\n
\u6700\u4f73\u82f1\u6587<\/td>\nUnsupervised Joint Monolingual Character Alignment and Word Segmentation<\/a><\/td>\nZhiyang Teng, Hao Xiong and Qun Liu<\/td>\n<\/tr>\n<\/tbody>\n<\/table>","protected":false},"excerpt":{"rendered":"

    \u4e2d\u56fd\u8ba1\u7b97\u8bed\u8a00\u5b66\u5927\u4f1a\uff08China National Conference on Co…<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-87517","page","type-page","status-publish","hentry","description-off"],"_links":{"self":[{"href":"http:\/\/cips-cl.org\/index.php?rest_route=\/wp\/v2\/pages\/87517","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/cips-cl.org\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/cips-cl.org\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/cips-cl.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/cips-cl.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=87517"}],"version-history":[{"count":12,"href":"http:\/\/cips-cl.org\/index.php?rest_route=\/wp\/v2\/pages\/87517\/revisions"}],"predecessor-version":[{"id":88423,"href":"http:\/\/cips-cl.org\/index.php?rest_route=\/wp\/v2\/pages\/87517\/revisions\/88423"}],"wp:attachment":[{"href":"http:\/\/cips-cl.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=87517"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}