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Natural Language Understanding and Intelligent Applications

5th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2016, and 24th International Conference on Computer Processing of Oriental Languages, ICCPOL 2016, Kunming, China, December 2–6, 2016, Proceedings

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Chin-Yew Lin

    1. Microsoft Research Asia, Beijing, China

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  2. Nianwen Xue

    1. Brandeis University, Waltham, USA

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  3. Dongyan Zhao

    1. Peking University, Beijing, China

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  4. Xuanjing Huang

    1. Fudan University, Shanghai, China

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  5. Yansong Feng

    1. Peking University, Beijing, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10102)

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

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About this book

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.


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Table of contents (89 papers)

  1. Front Matter

    Pages I-XXII
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  2. Fundamentals on Language Computing

    1. Front Matter

      Pages 1-1
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    2. Integrating Structural Context with Local Context for Disambiguating Word Senses

      • Qianlong Du, Chengqing Zong, Keh-Yih Su
      Pages 3-15

    3. Tibetan Multi-word Expressions Identification Framework Based on News Corpora

      • Minghua Nuo, Congjun Lun, Huidan Liu
      Pages 16-26

    4. Building Powerful Dependency Parsers for Resource-Poor Languages

      • Junjie Yu, Wenliang Chen, Zhenghua Li, Min Zhang
      Pages 27-38

    5. Bidirectional Long Short-Term Memory with Gated Relevance Network for Paraphrase Identification

      • Yatian Shen, Jifan Chen, Xuanjing Huang
      Pages 39-50

    6. Syntactic Categorization and Semantic Interpretation of Chinese Nominal Compounds

      • Taizhong Wu, Jian Liu, Xuri Tang, Min Gu, Yanhui Gu, Junsheng Zhou et al.
      Pages 51-62

    7. TDSS: A New Word Sense Representation Framework for Information Retrieval

      • Liwei Chen, Yansong Feng, Dongyan Zhao
      Pages 63-75

    8. A Word Vector Representation Based Method for New Words Discovery in Massive Text

      • Yang Du, Hua Yuan, Yu Qian
      Pages 76-88

  3. Machine Translation and Multi-lingual Information Access

    1. Front Matter

      Pages 89-89
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    2. Better Addressing Word Deletion for Statistical Machine Translation

      • Qiang Li, Dongdong Zhang, Mu Li, Tong Xiao, Jingbo Zhu
      Pages 91-102

    3. A Simple, Straightforward and Effective Model for Joint Bilingual Terms Detection and Word Alignment in SMT

      • Guoping Huang, Jiajun Zhang, Yu Zhou, Chengqing Zong
      Pages 103-115

    4. Bilingual Parallel Active Learning Between Chinese and English

      • Longhua Qian, JiaXin Liu, Guodong Zhou, Qiaoming Zhu
      Pages 116-128

    5. Study on the English Corresponding Unit of Chinese Clause

      • Wenhe Feng, Yi Yang, Yancui Li, Xia Li, Han Ren
      Pages 129-140

    6. Research for Uyghur-Chinese Neural Machine Translation

      • Jinying Kong, Yating Yang, Xi Zhou, Lei Wang, Xiao Li
      Pages 141-152

    7. MaxSD: A Neural Machine Translation Evaluation Metric Optimized by Maximizing Similarity Distance

      • Qingsong Ma, Fandong Meng, Daqi Zheng, Mingxuan Wang, Yvette Graham, Wenbin Jiang et al.
      Pages 153-161

    8. Automatic Long Sentence Segmentation for Neural Machine Translation

      • Shaohui Kuang, Deyi Xiong
      Pages 162-174

  4. Machine Learning for NLP

    1. Front Matter

      Pages 175-175
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    2. Topic Segmentation of Web Documents with Automatic Cue Phrase Identification and BLSTM-CNN

      • Liang Wang, Sujian Li, Xinyan Xiao, Yajuan Lyu
      Pages 177-188

    3. Multi-task Learning for Gender and Age Prediction on Chinese Microblog

      • Liang Wang, Qi Li, Xuan Chen, Sujian Li
      Pages 189-200
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Other volumes

  1. Natural Language Understanding and Intelligent Applications

Editors and Affiliations

  • Microsoft Research Asia, Beijing, China

    Chin-Yew Lin

  • Brandeis University, Waltham, USA

    Nianwen Xue

  • Peking University, Beijing, China

    Dongyan Zhao, Yansong Feng

  • Fudan University, Shanghai, China

    Xuanjing Huang

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