NLPIR/ICTCLA2018 ACADEMIC SEMINAR 8th 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 8th ISSUE

NLPIR/ICTCLA2018 ACADEMIC SEMINAR 8th ISSUE自然语言处理与信息检索共享平台qAD/J7yQ[(Ejq

INTRO自然语言处理与信息检索共享平台I9odO9b1^^g,]

        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2l9MXn’Z|z ?7Z

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Arrangement

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        This week’s seminar is organized as follows:自然语言处理与信息检索共享平台V n0Fy J4o({3[0k7x6{\

        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 \g:q0}$q `

        2. The lecturer is Shen Li, the paper’s title is Design Challenges and Misconceptions in Neural Sequence Labeling.

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        3. The seminar will be hosted Baohua Zhang.自然语言处理与信息检索共享平台,hy6J ^ jN

        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9oy
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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-Jv X*L:F/H y

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Design Challenges and Misconceptions in Neural Sequence Labeling自然语言处理与信息检索共享平台9d#QH4zS

Jie Yang              Shuailong Liang           Yue Zhang自然语言处理与信息检索共享平台5GtP*qeW

Abstract

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        We investigate the design challenges of constructing effective and efficient neural sequence labeling systems, by reproducing twelve neural sequence labeling models, which include most of the state-of-the-art structures, and conduct a systematic model comparison on three benchmarks (i.e. NER, Chunking, and POS tagging). Misconceptions and inconsistent conclusions in existing literature are examined and clarified under statistical experiments. In the comparison and analysis process, we reach several practical conclusions which can be useful to practitioners.自然语言处理与信息检索共享平台8r/D$[
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