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Detecting Opinions and their Opinion Targets
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In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings8/NTCIR/07-NTCIR8-MOAT-ChoiY.pdf (2010)
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Domain-specific sentiment analysis using contextual feature generation
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In: http://ir.kaist.ac.kr/papers/2009/tsa09.pdf (2009)
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Opinion Analysis based on Lexical Clues and their Expansion
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In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings6/NTCIR/53.pdf (2007)
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Opinion Analysis based on Lexical Clues and their Expansion
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In: http://ir.kaist.ac.kr/papers/2007/yhkim_opinion_final - NTCIR.pdf (2007)
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Automatic Identification of Text Genres and Their Roles in SubjectBased Categorization
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In: http://csdl.computer.org/comp/proceedings/hicss/2004/2056/04/205640100b.pdf (2004)
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Overview of clir task at the third ntcir workshop
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In: http://nlg.csie.ntu.edu.tw/conference_papers/ntcir2002a.pdf (2002)
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Complementing Dictionary-Based Query Translations with Corpus Statistics for Cross-Language IR
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In: http://www.mt-archive.info/MTS-1999-Myaeng.pdf (1999)
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Using Mutual Information to Resolve Query Translation
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In: http://acl.ldc.upenn.edu/P/P99/P99-1029.pdf (1999)
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Using Syntactic Dependencies and WordNet Classes for Noun Event Recognition
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In: http://ceur-ws.org/Vol-902/paper_5.pdf
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Unsupervised word sense disambiguation using
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In: http://ir.icu.ac.kr/papers/Unsupervised_Word_Sense_Disambiguation.pdf
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Detecting experiences from weblogs
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In: http://aclweb.org/anthology-new/P/P10/P10-1148.pdf
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Concept Unification of Terms in Different Languages for IR
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In: http://www.mt-archive.info/Coling-ACL-2006-Li.pdf
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Concept Unification of Terms in Different Languages for IR
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In: http://ir.kaist.ac.kr/papers/2006/Concept Unification of Terms in Different Languages for IR.pdf
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Proceedingsof the Third NTCIR Workshop Overview of CLIR Task at the Third NTCIR Workshop
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In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings3/NTCIR3-OV-CLIR-ChenK.rev.pdf
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***Department of Statistics, Chungnam National University
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In: http://nlg.csie.ntu.edu.tw/conference_papers/ntcir2005d.pdf
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Abstract:
The purpose of this paper is to overview research efforts at the NTCIR-5 CLIR task, which is a project of large-scale retrieval experiments on cross-lingual information retrieval (CLIR) of Chinese, Japanese, Korean, and English. The project has three sub-tasks, multi-lingual IR (MLIR), bilingual IR (BLIR), and single language IR (SLIR), in which many research groups from over ten countries are participating. This paper describes the system of the NTCIR-5 CLIR task and its test collection (document sets, topic sets, and method for relevance judgments), and reviews CLIR techniques used by participants and search performance of runs submitted for evaluation.
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Keyword:
Cross-lingual information retrieval; Evaluation; Retrieval experiment
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.379.9838 http://nlg.csie.ntu.edu.tw/conference_papers/ntcir2005d.pdf
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Generating and Mixing Feature Sets from Language Models for Sentiment Classification
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In: http://ir.kaist.ac.kr/papers/2009/nlp-ke2009.pdf
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Automatic Discovery of Technology Trends from Patent Text
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In: http://ir.kaist.ac.kr/papers/2008/20081025_2009_SAC_Camera-ready.pdf
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Simple Query Translation Methods for Korean-English and Korean-Chinese CLIR in NTCIR Experiments
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In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings3/NTCIR3-CLIR-JangM.pdf
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Concept Unification of Terms in Different Languages for IR
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In: http://acl.ldc.upenn.edu/P/P06/P06-1081.pdf
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Using Mutual Information to Resolve Query Translation Ambiguities and Query Term Weighting
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