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Titlebook: NII Testbeds and Community for Information Access Research; 14th International C Makoto P. Kato,Yiqun Liu,Charles L. A. Clarke Conference p

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書(shū)目名稱NII Testbeds and Community for Information Access Research
副標(biāo)題14th International C
編輯Makoto P. Kato,Yiqun Liu,Charles L. A. Clarke
視頻videohttp://file.papertrans.cn/661/660144/660144.mp4
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: NII Testbeds and Community for Information Access Research; 14th International C Makoto P. Kato,Yiqun Liu,Charles L. A. Clarke Conference p
描述This book constitutes the refereed proceedings of the 14th International Conference on NII Testbeds and Community for Information Access?Research, NTCIR 2019, held in Tokyo, Japan, in June 2019.?.The 15 full papers presented in this book were carefully reviewed and selected from 55 submissions..This NTCIR 2019 proceedings was structured in the following topics: lifelog search; open live test for question retrieval;?QA lab for political information; short text conversation; we want web; and fine-grained numeral understanding in financial tweet..
出版日期Conference proceedings 2019
關(guān)鍵詞recommendation system; lifelog; question retrieval; conversational search; web search; reproducibility; fi
版次1
doihttps://doi.org/10.1007/978-3-030-36805-0
isbn_softcover978-3-030-36804-3
isbn_ebook978-3-030-36805-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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0302-9743 earch, NTCIR 2019, held in Tokyo, Japan, in June 2019.?.The 15 full papers presented in this book were carefully reviewed and selected from 55 submissions..This NTCIR 2019 proceedings was structured in the following topics: lifelog search; open live test for question retrieval;?QA lab for political
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Generating Topical and Emotional Responses Using Topic Attention of the topic attention mechanism to improve the quality of responses. TECM also adopts a method of emotion category embedding to generate emotional responses. The empirical study on automatic evaluation metrics shows that TECM can generate diverse, informative and emotional responses.
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