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

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 Głowińska, Mateusz Kopeć, Agata Savary, Magdalena Zawisławska

      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

6. Semantics

   1. Natural Language Understanding for Grading Essay Questions in Persian Language

      • Iman Mokhtari-Fard

      Pages 144-153

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

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.

• chinese word segmentation
• information retrieval
• machine translation
• natural language understanding
• text mining

• 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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