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

17th China National Conference, CCL 2018, and 6th International Symposium, NLP-NABD 2018, Changsha, China, October 19–21, 2018, Proceedings

  • Maosong Sun
  • Ting Liu
  • Xiaojie Wang
  • Zhiyuan Liu
  • Yang Liu
Conference proceedings CCL 2018, NLP-NABD 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11221)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 11221)

Table of contents

  1. Front Matter
    Pages I-XV
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  2. Semantics

    1. Front Matter
      Pages 1-1
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    2. Radical Enhanced Chinese Word Embedding
      Zheng Chen, Keqi Hu
      Pages 3-11
    3. Syntax Enhanced Research Method of Stylistic Features
      Haiyan Wu, Ying Liu
      Pages 12-23
    4. Addressing Domain Adaptation for Chinese Word Segmentation with Instances-Based Transfer Learning
      Yanna Zhang, Jinan Xu, Guoyi Miao, Yufeng Chen, Yujie Zhang
      Pages 24-36

  3. Machine Translation

    1. Front Matter
      Pages 37-37
      PDF
    2. Collaborative Matching for Sentence Alignment
      Xiaojun Quan, Chunyu Kit, Wuya Chen
      Pages 39-52
    3. Finding Better Subword Segmentation for Neural Machine Translation
      Yingting Wu, Hai Zhao
      Pages 53-64
    4. Improving Low-Resource Neural Machine Translation with Weight Sharing
      Tao Feng, Miao Li, Xiaojun Liu, Yichao Cao
      Pages 65-75
    5. Identifying Word Translations in Scientific Literature Based on Labeled Bilingual Topic Model and Co-occurrence Features
      Mingjie Tian, Yahui Zhao, Rongyi Cui
      Pages 76-87
    6. Term Translation Extraction from Historical Classics Using Modern Chinese Explanation
      Xiaoting Wu, Hanyu Zhao, Chao Che
      Pages 88-98
    7. Research on Chinese-Tibetan Neural Machine Translation
      Wen Lai, Xiaobing Zhao, Xiaqing Li
      Pages 99-108

  4. Knowledge Graph and Information Extraction

    1. Front Matter
      Pages 109-109
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    2. Metadata Extraction for Scientific Papers
      Binjie Meng, Lei Hou, Erhong Yang, Juanzi Li
      Pages 111-122
    3. Knowledge Graph Embedding with Logical Consistency
      Jianfeng Du, Kunxun Qi, Yuming Shen
      Pages 123-135
    4. An End-to-End Entity and Relation Extraction Network with Multi-head Attention
      Lishuang Li, Yuankai Guo, Shuang Qian, Anqiao Zhou
      Pages 136-146
    5. Attention-Based Convolutional Neural Networks for Chinese Relation Extraction
      Wenya Wu, Yufeng Chen, Jinan Xu, Yujie Zhang
      Pages 147-158
    6. A Study on Improving End-to-End Neural Coreference Resolution
      Jia-Chen Gu, Zhen-Hua Ling, Nitin Indurkhya
      Pages 159-169
    7. Type Hierarchy Enhanced Heterogeneous Network Embedding for Fine-Grained Entity Typing in Knowledge Bases
      Hailong Jin, Lei Hou, Juanzi Li
      Pages 170-182
    8. Scientific Keyphrase Extraction: Extracting Candidates with Semi-supervised Data Augmentation
      Qianying Liu, Daisuke Kawahara, Sujian Li
      Pages 183-194

  5. Linguistic Resource Annotation and Evaluation

    1. Front Matter
      Pages 195-195
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    2. Using a Chinese Lexicon to Learn Sense Embeddings and Measure Semantic Similarity
      Zhuo Zhen, Yuquan Chen
      Pages 197-208
    3. Revisiting Correlations between Intrinsic and Extrinsic Evaluations of Word Embeddings
      Yuanyuan Qiu, Hongzheng Li, Shen Li, Yingdi Jiang, Renfen Hu, Lijiao Yang
      Pages 209-221

  6. Information Retrieval and Question Answering

    1. Front Matter
      Pages 223-223
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    2. Question-Answering Aspect Classification with Hierarchical Attention Network
      Hanqian Wu, Mumu Liu, Jingjing Wang, Jue Xie, Chenlin Shen
      Pages 225-237
    3. End-to-End Task-Oriented Dialogue System with Distantly Supervised Knowledge Base Retriever
      Libo Qin, Yijia Liu, Wanxiang Che, Haoyang Wen, Ting Liu
      Pages 238-249
    4. Attention-Based CNN-BLSTM Networks for Joint Intent Detection and Slot Filling
      Yufan Wang, Li Tang, Tingting He
      Pages 250-261
    5. Multi-Perspective Fusion Network for Commonsense Reading Comprehension
      Chunhua Liu, Yan Zhao, Qingyi Si, Haiou Zhang, Bohan Li, Dong Yu
      Pages 262-274

  7. Text Classification and Summarization

    1. Front Matter
      Pages 275-275
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    2. A Hierarchical Hybrid Neural Network Architecture for Chinese Text Summarization
      Yunheng Zhang, Leihan Zhang, Ke Xu, Le Zhang
      Pages 277-288
    3. TSABCNN: Two-Stage Attention-Based Convolutional Neural Network for Frame Identification
      Hongyan Zhao, Ru Li, Fei Duan, Zepeng Wu, Shaoru Guo
      Pages 289-301
    4. Linked Document Classification by Network Representation Learning
      Yue Zhang, Liying Zhang, Yao Liu
      Pages 302-313
    5. A Word Embedding Transfer Model for Robust Text Categorization
      Yiming Zhang, Jing Wang, Weijian Deng, Yaojie Lu
      Pages 314-323
    6. Review Headline Generation with User Embedding
      Tianshang Liu, Haoran Li, Junnan Zhu, Jiajun Zhang, Chengqing Zong
      Pages 324-334

  8. Social Computing and Sentiment Analysis

    1. Front Matter
      Pages 335-335
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    2. A Joint Model for Sentiment Classification and Opinion Words Extraction
      Dawei Cong, Jianhua Yuan, Yanyan Zhao, Bing Qin
      Pages 337-347
    3. Network Representation Learning Based on Community and Text Features
      Yu Zhu, Zhonglin Ye, Haixing Zhao, Ke Zhang
      Pages 348-360

  9. NLP Applications

    1. Front Matter
      Pages 361-361
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    2. Learning to Detect Verbose Expressions in Spoken Texts
      Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao
      Pages 363-375
    3. Medical Knowledge Attention Enhanced Neural Model for Named Entity Recognition in Chinese EMR
      Zhichang Zhang, Yu Zhang, Tong Zhou
      Pages 376-385
    4. Coherence-Based Automated Essay Scoring Using Self-attention
      Xia Li, Minping Chen, Jianyun Nie, Zhenxing Liu, Ziheng Feng, Yingdan Cai
      Pages 386-397
    5. Trigger Words Detection by Integrating Attention Mechanism into Bi-LSTM Neural Network—A Case Study in PubMED-Wide Trigger Words Detection for Pancreatic Cancer
      Kaiyin Zhou, Xinzhi Yao, Shuguang Wang, Jin-Dong Kim, Kevin Bretonnel Cohen, Ruiying Chen et al.
      Pages 398-409
  10. Back Matter
    Pages 411-412
    PDF

About these proceedings

Introduction

This book constitutes the proceedings of the 17th China National Conference on Computational Linguistics, CCL 2018, and the 6th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2018, held in Changsha, China, in October 2018.

The 33 full papers presented in this volume were carefully reviewed and selected from 84 submissions. They are organized in topical sections named: Semantics; machine translation; 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.

Keywords

artificial intelligence classification information extraction language resources machine translations named entities Natural Language Processing natural language processing systems neural networks NLP ontologies semantic information semantics text processing web mining

Editors and affiliations

  • Maosong Sun
    • 1
  • Ting Liu
    • 2
  • Xiaojie Wang
    • 3
  • Zhiyuan Liu
    • 4
  • Yang Liu
    • 5
  1. 1.Tsinghua UniversityBeijingChina
  2. 2.Harbin Institute of TechnologyHarbinChina
  3. 3.Beijing University of Posts and TelecommunicationsBeijingChina
  4. 4.Tsinghua UniversityBeijingChina
  5. 5.Tsinghua UniversityBeijingChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-01716-3
  • Copyright Information Springer Nature Switzerland AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-01715-6
  • Online ISBN 978-3-030-01716-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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