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Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

16th China National Conference, CCL 2017, and 5th International Symposium, NLP-NABD 2017, Nanjing, China, October 13-15, 2017, Proceedings

  • Conference proceedings
  • © 2017

Overview

Editors:
  1. Maosong Sun

    1. Tsinghua University, Beijing, China

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  2. Xiaojie Wang

    1. Beijing University of Posts and Telecommunications, Beijing, China

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  3. Baobao Chang

    1. Peking University, Beijing, China

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  4. Deyi Xiong

    1. Soochow University, Suzhou, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10565)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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About this book

This book constitutes the proceedings of the 16th China National Conference on Computational Linguistics, CCL 2017, and the 5th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2017, held in Nanjing, China, in October 2017.

The 39 full papers presented in this volume were carefully reviewed and selected from 272 submissions. They were organized in topical sections named: Fundamental theory and methods of computational linguistics; Machine translation and multilingual information processing; Knowledge graph and information extraction; Language resource and evaluation; Information retrieval and question answering; Text classification and summarization; Social computing and sentiment analysis; NLP applications; Minority language information processing.

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Table of contents (39 papers)

  1. Front Matter

    Pages I-XVIII
    Download chapter PDF

  2. Fundamental Theory and Methods of Computational Linguistics

    1. Front Matter

      Pages 1-1
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    2. Arabic Collocation Extraction Based on Hybrid Methods

      • Alaa Mamdouh Akef, Yingying Wang, Erhong Yang
      Pages 3-12

    3. Employing Auto-annotated Data for Person Name Recognition in Judgment Documents

      • Limin Wang, Qian Yan, Shoushan Li, Guodong Zhou
      Pages 13-23

    4. Closed-Set Chinese Word Segmentation Based on Convolutional Neural Network Model

      • Zhipeng Xie
      Pages 24-36

    5. Improving Word Embeddings for Low Frequency Words by Pseudo Contexts

      • Fang Li, Xiaojie Wang
      Pages 37-47

    6. A Pipelined Pre-training Algorithm for DBNs

      • Zhiqiang Ma, Tuya Li, Shuangtao Yang, Li Zhang
      Pages 48-59

    7. Enhancing LSTM-based Word Segmentation Using Unlabeled Data

      • Bo Zheng, Wanxiang Che, Jiang Guo, Ting Liu
      Pages 60-70

  3. Machine Translation and Multilingual Information Processing

    1. Front Matter

      Pages 71-71
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    2. Context Sensitive Word Deletion Model for Statistical Machine Translation

      • Qiang Li, Yaqian Han, Tong Xiao, Jingbo Zhu
      Pages 73-84

    3. Cost-Aware Learning Rate for Neural Machine Translation

      • Yang Zhao, Yining Wang, Jiajun Zhang, Chengqing Zong
      Pages 85-93

  4. Knowledge Graph and Information Extraction

    1. Front Matter

      Pages 95-95
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    2. Integrating Word Sequences and Dependency Structures for Chemical-Disease Relation Extraction

      • Huiwei Zhou, Yunlong Yang, Zhuang Liu, Zhe Liu, Yahui Men
      Pages 97-109

    3. Named Entity Recognition with Gated Convolutional Neural Networks

      • Chunqi Wang, Wei Chen, Bo Xu
      Pages 110-121

    4. Improving Event Detection via Information Sharing Among Related Event Types

      • Shulin Liu, Yubo Chen, Kang Liu, Jun Zhao, Zhunchen Luo, Wei Luo
      Pages 122-134

    5. Joint Extraction of Multiple Relations and Entities by Using a Hybrid Neural Network

      • Peng Zhou, Suncong Zheng, Jiaming Xu, Zhenyu Qi, Hongyun Bao, Bo Xu
      Pages 135-146

    6. A Fast and Effective Framework for Lifelong Topic Model with Self-learning Knowledge

      • Kang Xu, Feng Liu, Tianxing Wu, Sheng Bi, Guilin Qi
      Pages 147-158

    7. Collective Entity Linking on Relational Graph Model with Mentions

      • Jing Gong, Chong Feng, Yong Liu, Ge Shi, Heyan Huang
      Pages 159-171

    8. XLink: An Unsupervised Bilingual Entity Linking System

      • Jing Zhang, Yixin Cao, Lei Hou, Juanzi Li, Hai-Tao Zheng
      Pages 172-183

    9. Using Cost-Sensitive Ranking Loss to Improve Distant Supervised Relation Extraction

      • Daojian Zeng, Junxin Zeng, Yuan Dai
      Pages 184-196
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Other volumes

  1. Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

Editors and Affiliations

  • Tsinghua University, Beijing, China

    Maosong Sun

  • Beijing University of Posts and Telecommunications, Beijing, China

    Xiaojie Wang

  • Peking University, Beijing, China

    Baobao Chang

  • Soochow University, Suzhou, China

    Deyi Xiong

Bibliographic Information

  • Book Title: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

  • Book Subtitle: 16th China National Conference, CCL 2017, and 5th International Symposium, NLP-NABD 2017, Nanjing, China, October 13-15, 2017, Proceedings

  • Editors: Maosong Sun, Xiaojie Wang, Baobao Chang, Deyi Xiong

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-319-69005-6

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing AG 2017

  • Softcover ISBN: 978-3-319-69004-9Published: 07 October 2017

  • eBook ISBN: 978-3-319-69005-6Published: 06 October 2017

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVIII, 482

  • Number of Illustrations: 133 b/w illustrations

  • Topics: Natural Language Processing (NLP), Artificial Intelligence, Natural Language Processing (NLP), Information Storage and Retrieval

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