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Computational Linguistics and Intelligent Text Processing

12th International Conference, CICLing 2011, Tokyo, Japan, February 20-26, 2011. Proceedings, Part II

  • Conference proceedings
  • © 2011

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Editors:
  1. Alexander Gelbukh

    1. Center for Computing Research, National Polytechnic Institute, Mexico

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6609)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: CICLing 2011.

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About this book

This two-volume set, consisting of LNCS 6608 and LNCS 6609, constitutes the thoroughly refereed proceedings of the 12th International Conference on Computer Linguistics and Intelligent Processing, held in Tokyo, Japan, in February 2011. The 74 full papers, presented together with 4 invited papers, were carefully reviewed and selected from 298 submissions. The contents have been ordered according to the following topical sections: lexical resources; syntax and parsing; part-of-speech tagging and morphology; word sense disambiguation; semantics and discourse; opinion mining and sentiment detection; text generation; machine translation and multilingualism; information extraction and information retrieval; text categorization and classification; summarization and recognizing textual entailment; authoring aid, error correction, and style analysis; and speech recognition and generation.

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Table of contents (42 papers)

  1. Front Matter

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  2. Machine Translation and Multilingualism

    1. Ontology Based Interlingua Translation

      • Leonardo Lesmo, Alessandro Mazzei, Daniele P. Radicioni
      Pages 1-12

    2. Phrasal Equivalence Classes for Generalized Corpus-Based Machine Translation

      • Rashmi Gangadharaiah, Ralf D. Brown, Jaime Carbonell
      Pages 13-28

    3. A Multi-view Approach for Term Translation Spotting

      • Raphaël Rubino, Georges Linarès
      Pages 29-40

    4. ICE-TEA: In-Context Expansion and Translation of English Abbreviations

      • Waleed Ammar, Kareem Darwish, Ali El Kahki, Khaled Hafez
      Pages 41-54

    5. Word Segmentation for Dialect Translation

      • Michael Paul, Andrew Finch, Eiichiro Sumita
      Pages 55-67

    6. TEP: Tehran English-Persian Parallel Corpus

      • Mohammad Taher Pilevar, Heshaam Faili, Abdol Hamid Pilevar
      Pages 68-79

    7. Effective Use of Dependency Structure for Bilingual Lexicon Creation

      • Daniel Andrade, Takuya Matsuzaki, Jun’ichi Tsujii
      Pages 80-92

    8. Online Learning via Dynamic Reranking for Computer Assisted Translation

      • Pascual Martínez-Gómez, Germán Sanchis-Trilles, Francisco Casacuberta
      Pages 93-105

  3. Information Extraction and Information Retrieval

    1. Learning Relation Extraction Grammars with Minimal Human Intervention: Strategy, Results, Insights and Plans

      • Hans Uszkoreit
      Pages 106-126

    2. Using Graph Based Method to Improve Bootstrapping Relation Extraction

      • Haibo Li, Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka
      Pages 127-138

    3. A Hybrid Approach for the Extraction of Semantic Relations from MEDLINE Abstracts

      • Asma Ben Abacha, Pierre Zweigenbaum
      Pages 139-150

    4. An Active Learning Process for Extraction and Standardisation of Medical Measurements by a Trainable FSA

      • Jon Patrick, Mojtaba Sabbagh
      Pages 151-162

    5. Topic Chains for Understanding a News Corpus

      • Dongwoo Kim, Alice Oh
      Pages 163-176

    6. From Italian Text to TimeML Document via Dependency Parsing

      • Livio Robaldo, Tommaso Caselli, Irene Russo, Matteo Grella
      Pages 177-187

    7. Self-adjusting Bootstrapping

      • Shoji Fujiwara, Satoshi Sekine
      Pages 188-201

    8. Story Link Detection Based on Event Words

      • Letian Wang, Fang Li
      Pages 202-211

    9. Ranking Multilingual Documents Using Minimal Language Dependent Resources

      • G. S. K. Santosh, N. Kiran Kumar, Vasudeva Varma
      Pages 212-220

    10. Measuring Chinese-English Cross-Lingual Word Similarity with HowNet and Parallel Corpus

      • Yunqing Xia, Taotao Zhao, Jianmin Yao, Peng Jin
      Pages 221-233

  4. Text Categorization and Classification

    1. Comparing Manual Text Patterns and Machine Learning for Classification of E-Mails for Automatic Answering by a Government Agency

      • Hercules Dalianis, Jonas Sjöbergh, Eriks Sneiders
      Pages 234-243
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Other volumes

  1. Computational Linguistics and Intelligent Text Processing

  2. Computational Linguistics and Intelligent Text Processing

Editors and Affiliations

  • Center for Computing Research, National Polytechnic Institute, Mexico

    Alexander Gelbukh

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