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

1. Front Matter

   Pages I-XVIII

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2. Semantics

   1. Front Matter

      Pages 1-1

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   2. Improving Chinese Semantic Role Labeling with English Proposition Bank

      • Tianshi Li, Qi Li, BaoBao Chang

      Pages 3-11

   3. Transition-Based Chinese Semantic Dependency Graph Parsing

      • Yuxuan Wang, Jiang Guo, Wanxiang Che, Ting Liu

      Pages 12-24

   4. Improved Graph-Based Dependency Parsing via Hierarchical LSTM Networks

      • Wenhui Wang, Baobao Chang

      Pages 25-32

3. Machine Translation

   1. Front Matter

      Pages 33-33

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   2. Error Analysis of English-Chinese Machine Translation

      • Fei Fang, Shili Ge, Rou Song

      Pages 35-49

   3. I Can Guess What You Mean: A Monolingual Query Enhancement for Machine Translation

      • Chenxi Pang, Hai Zhao, Zhongyi Li

      Pages 50-63

   4. Keeping the Meanings of the Source Text: An Introduction to Yes Translate

      • Xiaoheng Zhang

      Pages 64-75

   5. Sentence Alignment Method Based on Maximum Entropy Model Using Anchor Sentences

      • Chao Che, Wenwen Guo, Jianxin Zhang

      Pages 76-85

   6. Using Collaborative Training Method to Build Vietnamese Dependency Treebank

      • Guoke Qiu, Jianyi Guo, Zhengtao Yu, Yantuan Xian, Cunli Mao

      Pages 86-100

4. Multilinguality in NLP

   1. Front Matter

      Pages 101-101

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   2. A Novel Approach to Improve the Mongolian Language Model Using Intermediate Characters

      • Xiaofei Yan, Feilong Bao, Hongxi Wei, Xiangdong Su

      Pages 103-113

   3. Improved Joint Kazakh POS Tagging and Chunking

      • Hao Wu, Gulila Altenbek

      Pages 114-124

   4. Coping with Problems of Unicoded Traditional Mongolian

      • Boli Wang, Xiaodong Shi, Yidong Chen

      Pages 125-131

   5. Tibetan Person Attributes Extraction Based on BP Neural Network

      • Lili Guo, Yuan Sun

      Pages 132-142

   6. Semi-supervised Learning for Mongolian Morphological Segmentation

      • Zhenxin Yang, Miao Li, Lei Chen, Weihui Zeng, Yi Gao, Sha Fu

      Pages 143-152

   7. Investigation and Use of Methods for Defining the Extends of Similarity of Kazakh Language Sentences

      • Unzila Kamanur, Altynbek Sharipbay, Gulila Altenbek, Gulmira Bekmanova, Lena Zhetkenbay

      Pages 153-161

5. Knowledge Graph and Information Extraction

   1. Front Matter

      Pages 163-163

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   2. Recognizing Biomedical Named Entities Based on the Sentence Vector/Twin Word Embeddings Conditioned Bidirectional LSTM

      • Lishuang Li, Liuke Jin, Yuxin Jiang, Degen Huang

      Pages 165-176

This book constitutes the proceedings of the 15th China National Conference on Computational Linguistics, CCL 2016, and the 4th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2016, held in Yantai City, China, in October 2016. 
The 29 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 85 submissions. They were organized in topical sections named: semantics; machine translation; multilinguality in NLP; knowledge graph and information extraction; linguistic resource annotation and evaluation; information retrieval and question answering; text classification and summarization; social computing and sentiment analysis; and NLP applications.

• information extraction
• lexical semantics
• machine learning
• machine translation
• Web mining
• active learning
• collaborative training
• emotion classification
• joint modeling
• language resources
• natural language processing
• neural network
• recurrent neural network
• semantic information
• sentiment analysis
• social media
• speech recognition
• structure information
• support vector machine
• topic modelin

• Tsinghua University , Beijing, China

  Maosong Sun, Zhiyuan Liu, Yang Liu

• Fudan University , Shanghai, China

  Xuanjing Huang

• Dalian University of Technology , Dalian, China

  Hongfei Lin

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