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Pause and stop labeling for Chinese sentence boundary detection
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In: http://www.aclweb.org/anthology/R11-1021/ (2011)
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Traditional Chinese, and Simplified Chinese. Using
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In: http://nlg.csie.ntu.edu.tw/conference_papers/nntcir2008b.pdf (2008)
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Opinion analysis across languages: An overview of and observations from the ntcir6 opinion analysis pilot task
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In: http://nlg.csie.ntu.edu.tw/conference_papers/wilf2007.pdf (2007)
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Question Analysis and Answer Passage Retrieval for Opinion Question Answering Systems
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In: http://www.aclclp.org.tw/clclp/v13n3/v13n3a3.pdf (2007)
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H.H.: Constructing a Named Entity Ontology from Web Corpora
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In: http://gra103.aca.ntu.edu.tw/gdoc/95/d91922022a.pdf (2006)
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An Approach to Using the Web as a Live Corpus for Spoken Transliteration Name Access
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In: http://www.aclclp.org.tw/clclp/v11n3/v11n3a1.pdf (2006)
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Translating–transliterating named entities for multilingual information access
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In: http://nlg3.csie.ntu.edu.tw/journal_papers/jasist2006.pdf (2006)
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H.H.: Constructing a Named Entity Ontology from Web Corpora
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In: http://www.cs.brandeis.edu/~marc/misc/proceedings/lrec-2006/pdf/118_pdf.pdf (2006)
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Y.C.: Language Translation and Media Transformation in CrossLanguage Image Retrieval
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In: http://nlg.csie.ntu.edu.tw/conference_papers/icadl2006.pdf (2006)
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| 10 |
Opinion extraction, summarization and tracking in news and blog corpora
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In: http://nlg18.csie.ntu.edu.tw:8080/opinion/SS0603KuLW.pdf (2006)
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Abstract:
Humans like to express their opinions and are eager to know others ’ opinions. Automatically mining and organizing opinions from heterogeneous information sources are very useful for individuals, organizations and even governments. Opinion extraction, opinion summarization and opinion tracking are three important techniques for understanding opinions. Opinion extraction mines opinions at word, sentence and document levels from articles. Opinion summarization summarizes opinions of articles by telling sentiment polarities, degree and the correlated events. In this paper, both news and web blog articles are investigated. TREC, NTCIR and articles collected from web blogs serve as the information sources for opinion extraction. Documents related to the issue of animal cloning are selected as the experimental materials. Algorithms for opinion extraction at word, sentence and document level are proposed. The issue of relevant sentence selection is discussed, and then topical and opinionated information are summarized. Opinion summarizations are visualized by representative sentences. Text-based summaries in different languages, and from different sources, are compared. Finally, an opinionated curve showing supportive and non-supportive degree along the timeline is illustrated by an opinion tracking system.
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URL: http://nlg18.csie.ntu.edu.tw:8080/opinion/SS0603KuLW.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.483.4602
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| 11 |
Integrating punctuation rules and naïve Bayesian model for Chinese creation title recognition
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In: http://nlg.csie.ntu.edu.tw/conference_papers/ijcnlp2005.pdf (2005)
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| 12 |
Integrating Textual and Visual Information for Cross-Language Image Retrieval
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In: http://nlg.csie.ntu.edu.tw/conference_papers/airs2005b.pdf (2005)
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| 13 |
Combining text and image queries at imageclef 2005
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In: http://www.clef-campaign.org/2005/working_notes/workingnotes2005/chengchang05.pdf (2005)
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| 14 |
Integrating Textual and Visual Information for Cross-Language Image Retrieval
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In: http://nlg3.csie.ntu.edu.tw/conference_papers/airs2005a.pdf (2005)
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| 15 |
H.H.: From Text to Image: Generating Visual Query for Image Retrieval. In: Multilingual Information Access for Text, Speech and Images
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In: http://nlg3.csie.ntu.edu.tw/conference_papers/clef2004w.pdf (2004)
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Clustering and Visualization in a Multi-Lingual Multi-Document Summarization System
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In: http://ccc.inaoep.mx/%7Evillasen/bib/Clustering%20and%20Visualization%20in%20a%20Multi-lingual.pdf (2003)
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| 17 |
Learning formulation and transformation rules for multilingual named entities
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In: http://nlg3.csie.ntu.edu.tw/conference_papers/acl2003-ner.pdf (2003)
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Description of NTU approach to NTCIR3 multilingual information retrieval
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In: http://www.mt-archive.info/NTCIR-2002-Lin.pdf (2003)
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| 19 |
Combining Query Translation and Document Translation in Cross-Language Retrieval
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In: http://nlg3.csie.ntu.edu.tw/conference_papers/amta1998.pdf (2003)
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Clustering and Visualization in a Multilingual Multidocument Summarization System
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In: http://nlg.csie.ntu.edu.tw/conference_papers/ecir2003.pdf (2003)
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