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Titlebook: Natural Language Understanding and Intelligent Applications; 5th CCF Conference o Chin-Yew Lin,Nianwen Xue,Yansong Feng Conference proceedi

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發(fā)表于 2025-3-21 16:24:14 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Natural Language Understanding and Intelligent Applications
副標題5th CCF Conference o
編輯Chin-Yew Lin,Nianwen Xue,Yansong Feng
視頻videohttp://file.papertrans.cn/662/661855/661855.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Natural Language Understanding and Intelligent Applications; 5th CCF Conference o Chin-Yew Lin,Nianwen Xue,Yansong Feng Conference proceedi
描述This book constitutes the joint refereed proceedings of the?5th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2016, and the 24th International Conference on Computer Processing of Oriental Languages, ICCPOL 2016, held in Kunming, China, in December 2016..The 48 revised full papers presented together with 41 short papers were?carefully reviewed and selected from 216 submissions. The papers cover fundamental research in language computing, multi-lingual access, web?mining/text mining, machine learning for NLP, knowledge graph, NLP for?social network, as well as applications?in language computing..
出版日期Conference proceedings 2016
關鍵詞computational linguistics; information extraction; machine learning; semantic matching; social media; dee
版次1
doihttps://doi.org/10.1007/978-3-319-50496-4
isbn_softcover978-3-319-50495-7
isbn_ebook978-3-319-50496-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2016
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-22 00:06:19 | 只看該作者
TDSS: A New Word Sense Representation Framework for Information Retrievalfurther propose an novel method to automatically learn such representations from large scale of query logs. Experimental results show that our new sense representations can better handle word substitutions in a query rewriting task.
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Topic Segmentation of Web Documents with Automatic Cue Phrase Identification and BLSTM-CNNy cue phrases from documents. Experiments show that our proposed model is able to achieve much better performance than strong baselines, and our mined cue phrases are reasonable and effective. Also, this is the first work that investigates the task of topic segmentation for web documents.
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發(fā)表于 2025-3-22 13:54:00 | 只看該作者
0302-9743 s. The papers cover fundamental research in language computing, multi-lingual access, web?mining/text mining, machine learning for NLP, knowledge graph, NLP for?social network, as well as applications?in language computing..978-3-319-50495-7978-3-319-50496-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Multi-task Learning for Gender and Age Prediction on Chinese Microblogedicting gender and age simultaneously on Chinese microblog. With MTCNN, we can effectively reduce the burden of feature engineering and explore common and unique representations for both tasks. Experimental results show that our method can significantly outperform the state-of-the-art baselines.
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發(fā)表于 2025-3-23 05:37:49 | 只看該作者
0302-9743 ng and Chinese Computing, NLPCC 2016, and the 24th International Conference on Computer Processing of Oriental Languages, ICCPOL 2016, held in Kunming, China, in December 2016..The 48 revised full papers presented together with 41 short papers were?carefully reviewed and selected from 216 submission
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