12. CICLing 2011: Tokyo, Japan

Machine Translation and Multilingualism

• Leonardo Lesmo, Alessandro Mazzei, Daniele P. Radicioni:
  Ontology Based Interlingua Translation. 1-12
  
• Rashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell:
  Phrasal Equivalence Classes for Generalized Corpus-Based Machine Translation. 13-28
  
• Raphaël Rubino, Georges Linares:
  A Multi-view Approach for Term Translation Spotting. 29-40
  
• Waleed Ammar, Kareem Darwish, Ali El Kahki, Khaled Hafez:
  ICE-TEA: In-Context Expansion and Translation of English Abbreviations. 41-54
  
• Michael Paul, Andrew M. Finch, Eiichiro Sumita:
  Word Segmentation for Dialect Translation. 55-67
  
• Mohammad Taher Pilevar, Heshaam Faili, Abdol Hamid Pilevar:
  TEP: Tehran English-Persian Parallel Corpus. 68-79
  
• Daniel Andrade, Takuya Matsuzaki, Jun-ichi Tsujii:
  Effective Use of Dependency Structure for Bilingual Lexicon Creation. 80-92
  
• Pascual Martínez-Gómez, Germán Sanchis-Trilles, Francisco Casacuberta:
  Online Learning via Dynamic Reranking for Computer Assisted Translation. 93-105
  

Information Extraction and Information Retrieval

• Hans Uszkoreit:
  Learning Relation Extraction Grammars with Minimal Human Intervention: Strategy, Results, Insights and Plans. 106-126
  
• Haibo Li, Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka:
  Using Graph Based Method to Improve Bootstrapping Relation Extraction. 127-138
  
• Asma Ben Abacha, Pierre Zweigenbaum:
  A Hybrid Approach for the Extraction of Semantic Relations from MEDLINE Abstracts. 139-150
  
• Jon Patrick, Mojtaba Sabbagh:
  An Active Learning Process for Extraction and Standardisation of Medical Measurements by a Trainable FSA. 151-162
  
• Dongwoo Kim, Alice H. Oh:
  Topic Chains for Understanding a News Corpus. 163-176
  
• Livio Robaldo, Tommaso Caselli, Irene Russo, Matteo Grella:
  From Italian Text to TimeML Document via Dependency Parsing. 177-187
  
• Shoji Fujiwara, Satoshi Sekine:
  Self-adjusting Bootstrapping. 188-201
  
• Letian Wang, Fang Li:
  Story Link Detection Based on Event Words. 202-211
  
• G. S. K. Santosh, N. Kiran Kumar, Vasudeva Varma:
  Ranking Multilingual Documents Using Minimal Language Dependent Resources. 212-220
  
• Yunqing Xia, Taotao Zhao, Jianmin Yao, Peng Jin:
  Measuring Chinese-English Cross-Lingual Word Similarity with HowNet and Parallel Corpus. 221-233
  

Text Categorization and Classification

• Hercules Dalianis, Jonas Sjöbergh, Eriks Sneiders:
  Comparing Manual Text Patterns and Machine Learning for Classification of E-Mails for Automatic Answering by a Government Agency. 234-243
  
• Nooshin Maghsoodi, Mohammad Mehdi Homayounpour:
  Using Thesaurus to Improve Multiclass Text Classification. 244-253
  
• Dat Huynh, Dat Tran, Wanli Ma, Dharmendra Sharma:
  Adaptable Term Weighting Framework for Text Classification. 254-265
  
• Iria da Cunha, M. Teresa Cabré, Eric SanJuan, Gerardo Sierra, Juan Manuel Torres Moreno, Jorge Vivaldi:
  Automatic Specialized vs. Non-specialized Sentence Differentiation. 266-276
  
• B. Thomas Adler, Luca de Alfaro, Santiago Moisés Mola-Velasco, Paolo Rosso, Andrew G. West:
  Wikipedia Vandalism Detection: Combining Natural Language, Metadata, and Reputation Features. 277-288
  
• Su Yan, Dongwon Lee, Alex Hai Wang:
  Costco: Robust Content and Structure Constrained Clustering of Networked Documents. 289-300
  

Summarization and Recognizing Textual Entailment

• Horacio Saggion:
  Learning Predicate Insertion Rules for Document Abstracting. 301-312
  
• Jun Hatori, Akiko Murakami, Jun-ichi Tsujii:
  Multi-topical Discussion Summarization Using Structured Lexical Chains and Cue Words. 313-327
  
• Nik Adilah Hanin Binti Zahri, Fumiyo Fukumoto:
  Multi-document Summarization Using Link Analysis Based on Rhetorical Relations between Sentences. 328-338
  
• Yunqing Xia, Yonggang Zhang, Jianmin Yao:
  Co-clustering Sentences and Terms for Multi-document Summarization. 339-352
  
• Partha Pakray, Alexander F. Gelbukh, Sivaji Bandyopadhyay:
  Answer Validation Using Textual Entailment. 353-364
  

Authoring Aid, Error Correction, and Style Analysis

• Anabela Barreiro:
  SPIDER: A System for Paraphrasing in Document Editing and Revision - Applicability in Machine Translation Pre-editing. 365-376
  
• Ching-man Au Yeung, Kevin Duh, Masaaki Nagata:
  Providing Cross-Lingual Editing Assistance to Wikipedia Editors. 377-389
  
• Fabrizio Gotti, Philippe Langlais, Guy Lapalme, Simon Charest, Eric Brunelle:
  Reducing Overdetections in a French Symbolic Grammar Checker by Classification. 390-401
  
• Theologos Athanaselis, Stelios Bakamidis, Ioannis Dologlou:
  Performance Evaluation of a Novel Technique for Word Order Errors Correction Applied to Non Native English Speakers' Corpus. 402-410
  
• Xiaohua Liu, Bo Han, Ming Zhou:
  Correcting Verb Selection Errors for ESL with the Perceptron. 411-423
  
• Philip van Oosten, Véronique Hoste, Dries Tanghe:
  A Posteriori Agreement as a Quality Measure for Readability Prediction Systems. 424-435
  
• Keiji Yasuda, Andrew M. Finch, Eiichiro Sumita:
  A Method to Measure the Reading Difficulty of Japanese Words. 436-445
  
• Shibamouli Lahiri, Prasenjit Mitra, Xiaofei Lu:
  Informality Judgment at Sentence Level and Experiments with Formality Score. 446-457
  

Speech Recognition and Generation

• M. Alejandro Reyes-Barragán, Manuel Montes-y-Gómez, Luis Villaseñor Pineda:
  Combining Word and Phonetic-Code Representations for Spoken Document Retrieval. 458-466
  
• Zeeshan Ahmed, Julie Carson-Berndsen:
  Automatic Rule Extraction for Modeling Pronunciation Variation. 467-476
  
• Jun Hatori, Hisami Suzuki:
  Predicting Word Pronunciation in Japanese. 477-492
  
• Chonlasith Jucksriporn, Ohm Sornil:
  A Minimum Cluster-Based Trigram Statistical Model for Thai Syllabification. 493-505
  
• Panagiota Karanasou, Lori Lamel:
  Automatic Generation of a Pronunciation Dictionary with Rich Variation Coverage Using SMT Methods. 506-517
  

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