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Natural Language Processing and Chinese Computing

Third CCF Conference, NLPCC 2014, Shenzhen, China, December 5-9, 2014. Proceedings

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Chengqing Zong

    1. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

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  2. Jian-Yun Nie

    1. Dept. of Computer Science and Operations Research, University of Montreal, Montreal, Canada

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  3. Dongyan Zhao

    1. Peking University, Beijing, China

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  4. Yansong Feng

    1. Institute of Computer Science & Technology, Peking University, Beijing, China

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 496)

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Conference proceedings info: NLPCC 2014.

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Table of contents (43 papers)

  1. Front Matter

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  2. Long Papers

    1. Fundamentals on Language Computing

      1. A Global Generative Model for Chinese Semantic Role Labeling
        • Haitong Yang, Chengqing Zong
        Pages 1-12
      2. Chinese Comma Disambiguation on K-best Parse Trees
        • Fang Kong, Guodong Zhou
        Pages 13-22
      3. Event Schema Induction Based on Relational Co-occurrence over Multiple Documents
        • Tingsong Jiang, Lei Sha, Zhifang Sui
        Pages 23-33
      4. Negation and Speculation Target Identification
        • Bowei Zou, Guodong Zhou, Qiaoming Zhu
        Pages 34-45

    2. Applications on Language Computing

      1. An Adjective-Based Embodied Knowledge Net
        • Chang Su, Jia Tian, Yijiang Chen
        Pages 46-53
      2. A Method of Density Analysis for Chinese Characters
        • Jingwei Qu, Xiaoqing Lu, Lu Liu, Zhi Tang, Yongtao Wang
        Pages 54-66
      3. Computing Semantic Relatedness Using a Word-Text Mutual Guidance Model
        • Bingquan Liu, Jian Feng, Ming Liu, Feng Liu, Xiaolong Wang, Peng Li
        Pages 67-78
      4. Short Text Feature Enrichment Using Link Analysis on Topic-Keyword Graph
        • Peng Wang, Heng Zhang, Bo Xu, Chenglin Liu, Hongwei Hao
        Pages 79-90

    3. Machine Translation and Multi-Lingual Information Access

      1. Sentence-Length Informed Method for Active Learning Based Resource-Poor Statistical Machine Translation
        • Jinhua Du, Miaomiao Wang, Meng Zhang
        Pages 91-102
      2. Detection of Loan Words in Uyghur Texts
        • Chenggang Mi, Yating Yang, Lei Wang, Xiao Li, Kamali Dalielihan
        Pages 103-112
      3. A Novel Rule Refinement Method for SMT through Simulated Post-Editing
        • Sitong Yang, Heng Yu, Qun Liu
        Pages 113-122
      4. Case Frame Constraints for Hierarchical Phrase-Based Translation: Japanese-Chinese as an Example
        • Jiangming Liu, JinAn Xu, Jun Xie, Yujie Zhang
        Pages 123-137

    4. Machine Learning for NLP

      1. Bridging the Language Gap: Learning Distributed Semantics for Cross-Lingual Sentiment Classification
        • Guangyou Zhou, Tingting He, Jun Zhao
        Pages 138-149
      2. A Short Texts Matching Method Using Shallow Features and Deep Features
        • Longbiao Kang, Baotian Hu, Xiangping Wu, Qingcai Chen, Yan He
        Pages 150-159
      3. A Feature Extraction Method Based on Word Embedding for Word Similarity Computing
        • Weitai Zhang, Weiran Xu, Guang Chen, Jun Guo
        Pages 160-167
      4. Word Vector Modeling for Sentiment Analysis of Product Reviews
        • Yuan Wang, Zhaohui Li, Jie Liu, Zhicheng He, Yalou Huang, Dong Li
        Pages 168-180
      5. Cross-Lingual Sentiment Classification Based on Denoising Autoencoder
        • Huiwei Zhou, Long Chen, Degen Huang
        Pages 181-192

    5. NLP for Social Media

      1. Aspect-Object Alignment Using Integer Linear Programming
        • Yanyan Zhao, Bing Qin, Ting Liu
        Pages 193-204
      2. Sentiment Classification of Chinese Contrast Sentences
        • Junjie Li, Yu Zhou, Chunyang Liu, Lin Pang
        Pages 205-216
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About this book

This book constitutes the refereed proceedings of the Third CCF Conference, NLPCC 2014, held in Shenzhen, China, in December 2014. The 35 revised full papers presented together with 8 short papers were carefully reviewed and selected from 110 English submissions. The papers are organized in topical sections on fundamentals on language computing; applications on language computing; machine translation and multi-lingual information access; machine learning for NLP; NLP for social media; NLP for search technology and ads; question answering and user interaction; web mining and information extraction.

Editors and Affiliations

  • National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Chengqing Zong

  • Dept. of Computer Science and Operations Research, University of Montreal, Montreal, Canada

    Jian-Yun Nie

  • Peking University, Beijing, China

    Dongyan Zhao

  • Institute of Computer Science & Technology, Peking University, Beijing, China

    Yansong Feng

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