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

13th China National Conference, CCL 2014, and First International Symposium, NLP-NABD 2014, Wuhan, China, October 18-19, 2014. Proceedings

  • Conference proceedings
  • © 2014

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8801)

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

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Table of contents (27 papers)

  1. Word Segmentation

  2. Syntactic Analysis and Parsing the Web

  3. Lexical Semantics and Ontologies

  4. Semantics

  5. Discourse, Coreference and Pragmatics

  6. Textual Entailment

  7. Language Resources and Annotation

  8. Sentiment Analysis, Opinion Mining and Text Classification

  9. Large-Scale Knowledge Acquisition and Reasoning

  10. Text Mining, Open IE and Machine Reading of the Web

  11. Machine Translation

Other volumes

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

Keywords

About this book

This book constitutes the refereed proceedings of the 13th China National Conference on Computational Linguistics, CCL 2014, and of the First International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2014, held in Wuhan, China, in October 2014. The 27 papers presented were carefully reviewed and selected from 233 submissions. The papers are organized in topical sections on word segmentation; syntactic analysis and parsing the Web; semantics; discourse, coreference and pragmatics; textual entailment; language resources and annotation; sentiment analysis, opinion mining and text classification; large‐scale knowledge acquisition and reasoning; text mining, open IE and machine reading of the Web; machine translation; multilinguality in NLP; underresourced languages processing; NLP applications.

Editors and Affiliations

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

    Maosong Sun, Yang Liu

  • Chinese Academy of Sciences, Institute of Automation, Beijing, China

    Jun Zhao

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