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

12th China National Conference, CCL 2013 and First International Symposium, NLP-NABD 2013, Suzhou, China, October 10-12, 2013, Proceedings

  • Conference proceedings
  • © 2013

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Editors:
  1. Maosong Sun

    1. Department of Computer Science and Technology, Tsinghua University, Beijing, China

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  2. Min Zhang

    1. Horizon Doctoral Training Centre, School of Computer Science, University of Nottingham, Nottingham, UK

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  3. Dekang Lin

    1. Google Inc., Mountain View, USA

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  4. Haifeng Wang

    1. Baidu Inc., Beijing, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8202)

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

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Table of contents (32 papers)

  1. Front Matter

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  2. Word Segmentation

    1. Improving Chinese Word Segmentation Using Partially Annotated Sentences

      • Kaixu Zhang, Jinsong Su, Changle Zhou
      Pages 1-12

    2. Chinese Natural Chunk Research Based on Natural Annotations in Massive Scale Corpora

      • Zhi-e Huang, En-dong Xun, Gao-qi Rao, Dong Yu
      Pages 13-24

    3. A Kalman Filter Based Human-Computer Interactive Word Segmentation System for Ancient Chinese Texts

      • Tongfei Chen, Weimeng Zhu, Xueqiang Lv, Junfeng Hu
      Pages 25-35

    4. Chinese Word Segmentation with Character Abstraction

      • Le Tian, Xipeng Qiu, Xuanjing Huang
      Pages 36-43

    5. A Refined HDP-Based Model for Unsupervised Chinese Word Segmentation

      • Wenzhe Pei, Dongxu Han, Baobao Chang
      Pages 44-51

    6. Enhancing Chinese Word Segmentation with Character Clustering

      • Yijia Liu, Wanxiang Che, Ting Liu
      Pages 52-60

    7. Integrating Multi-source Bilingual Information for Chinese Word Segmentation in Statistical Machine Translation

      • Wei Chen, Wei Wei, Zhenbiao Chen, Bo Xu
      Pages 61-72

  3. Open-Domain Q&A

    1. Interactive Question Answering Based on FAQ

      • Song Liu, Yi-Xin Zhong, Fu-Ji Ren
      Pages 73-84

  4. Discourse, Coreference and Pragmatics

    1. Document Oriented Gap Filling of Definite Null Instantiation in FrameNet

      • Ning Wang, Ru Li, Zhangzhang Lei, Zhiqiang Wang, Jingpan Jin
      Pages 85-96

    2. Interesting Linguistic Features in Coreference Annotation of an Inflectional Language

      • Maciej Ogrodniczuk, Katarzyna GÅ‚owiÅ„ska, Mateusz Kopeć, Agata Savary, Magdalena ZawisÅ‚awska
      Pages 97-108

  5. Statistical and Machine Learning Methods in NLP

    1. Semi-supervised Learning with Transfer Learning

      • Huiwei Zhou, Yan Zhang, Degen Huang, Lishuang Li
      Pages 109-119

    2. Online Distributed Passive-Aggressive Algorithm for Structured Learning

      • Jiayi Zhao, Xipeng Qiu, Zhao Liu, Xuanjing Huang
      Pages 120-130

    3. Power Law for Text Categorization

      • Wuying Liu, Lin Wang, Mianzhu Yi
      Pages 131-143

  7. Text Mining, Open-Domain Information Extraction and Machine Reading of the Web

    1. Learning to Extract Attribute Values from a Search Engine with Few Examples

      • Xingxing Zhang, Tao Ge, Zhifang Sui
      Pages 154-165

    2. User-Characteristics Topic Model

      • Wenfeng Li, Xiaojie Wang, Shaowei Jiang
      Pages 166-178

    3. Mining User Preferences for Recommendation: A Competition Perspective

      • Shaowei Jiang, Xiaojie Wang, Caixia Yuan, Wenfeng Li
      Pages 179-189

  8. Sentiment Analysis, Opinion Mining and Text Classification

    1. A Classification-Based Approach for Implicit Feature Identification

      • Lingwei Zeng, Fang Li
      Pages 190-202

    2. Role of Emoticons in Sentence-Level Sentiment Classification

      • Martin Min, Tanya Lee, Ray Hsu
      Pages 203-213
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  1. Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

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About this book

This book constitutes the refereed proceedings of the 12th China National Conference on Computational Linguistics, CCL 2013, and of the First International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2013, held in Suzhou, China, in October 2013. The 32 papers presented were carefully reviewed and selected from 252 submissions. The papers are organized in topical sections on word segmentation; open-domain question answering; discourse, coreference and pragmatics; statistical and machine learning methods in NLP; semantics; text mining, open-domain information extraction and machine reading of the Web; sentiment analysis, opinion mining and text classification; lexical semantics and ontologies; language resources and annotation; machine translation; speech recognition and synthesis; tagging and chunking; and large-scale knowledge acquisition and reasoning.

Editors and Affiliations

  • Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Maosong Sun

  • Horizon Doctoral Training Centre, School of Computer Science, University of Nottingham, Nottingham, UK

    Min Zhang

  • Google Inc., Mountain View, USA

    Dekang Lin

  • Baidu Inc., Beijing, China

    Haifeng Wang

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