NLPIR/ICTCLA2018 ACADEMIC SEMINAR 7th ISSUE – NLPIR自然语言处理与信息检索共享平台

自然语言处理与信息检索共享平台 自然语言处理与信息检索共享平台

NLPIR/ICTCLA2018 ACADEMIC SEMINAR 7th ISSUE

NLPIR/ICTCLA2018 ACADEMIC SEMINAR 7th ISSUE自然语言处理与信息检索共享平台;\zBPh
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INTRO自然语言处理与信息检索共享平台 M e`~ NPN``

        In the new semester, our Lab, Web Search Mining and Security Lab, plans to hold an academic seminar every Wednesdays, and each time a keynote speaker will share understanding of papers published in recent years with you.自然语言处理与信息检索共享平台i)G!Q8DL

 

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Arrangement

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This week’s seminar is organized as follows:

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        1. The seminar time is 1.pm, Wed, at Zhongguancun Technology Park ,Building 5, 1306.自然语言处理与信息检索共享平台
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        2. The lecturer is Ziyu Liu, the paper’s title is Neural Text Generation in Stories Using Entity Representations as Context.

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        3. The seminar will be hosted Zhaoyang Wang.自然语言处理与信息检索共享平台 g3sb7_^tA

        4. Attachment is the paper of this seminar, please download in advance自然语言处理与信息检索共享平台#y3OJ’S DQy6G1AN

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        Everyone interested in this topic is welcomed to join us. the following is the abstract for this week’s paper自然语言处理与信息检索共享平台:k,~E4Q2xP4U_0W

 


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Neural Text Generation in Stories Using Entity Representations as Context自然语言处理与信息检索共享平台NQY1e_w*]r*N

Elizabeth Clark             Yangfeng Ji         Noah A. Smith

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Abstract自然语言处理与信息检索共享平台#|`4^ UC G,q
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        We introduce an approach to neural text generation that explicitly represents entities mentioned in the text. Entity representations are vectors that are updated as the text proceeds; they are designed specifically for narrative text like fiction or news stories. Our experiments demonstrate that modeling entities offers a benefit in two automatic evaluations: mention generation (in which a model chooses which entity to mention next and which words to use in the mention) and selection between a correct next sentence and a distractor from later in the same story. We also conduct a human evaluation on automatically generated text in story contexts; this study supports our emphasis on entities and suggests directions for further research.自然语言处理与信息检索共享平台.js+a-y:u

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