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A low-resources approach to Opinion Analysis: Machine Learning and Simple Approaches
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In: http://davidkirkevans.com/Publications_files/2007_05_NTCIR.pdf (2007)
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A low-resources approach to Opinion Analysis: Machine Learning and Simple Approaches
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In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings6/NTCIR/66.pdf (2007)
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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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ABSTRACT Identifying Similarity in Text: Multi-Lingual Analysis for Summarization
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In: http://www1.cs.columbia.edu/nlp/theses/dave_evans.pdf (2005)
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Similarity-based Multilingual Multi-Document Summarization
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In: http://www.cs.columbia.edu/nlp/papers/2005/evans_al_05.pdf (2005)
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Columbia newsblaster: multilingual news summarization on the web
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In: http://www.cs.columbia.edu/%7Edevans/papers/mlNewsblaster.pdf (2004)
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Abstract:
We propose to show the new multilingual ver-sion of the Columbia Newsblaster news sum-marization system. The system addresses the problem of user access to browsing news in multiple languages from multiple sites on the internet. The system automatically collects, organizes, and summarizes news in multiple source languages, allowing the user to browse news topics with English summaries, and com-pare perspectives from different countries on the topics. 1 Multilingual Columbia Newsblaster We propose to present a demo of the multilingual version of Columbia Newsblaster which is currently in develop-ment. Columbia Newsblaster1 (McKeown et al., 2002) is a system for news browsing that crawls news from the web, clusters related articles, summarizes the multi-document clusters, and presents the clusters in a browsing interface separated into pre-defined categories. In this demo, participants will be able to Browse summaries of current news from multiple languages View news clusters with documents from a particu-lar language Compare summaries from documents in different languages The Multilingual version of Columbia Newsblaster is built upon the English version of Columbia News-blaster, taking advantage of the existing system by trans-lating documents into English. The system has six major phases: crawling, article extraction, clustering, sum-marization, classification, and interface generation. In
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URL: http://www.cs.columbia.edu/%7Edevans/papers/mlNewsblaster.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.665.3427
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A Platform for Multilingual News Summarization Paper ID: Multilingual-Summarization-CU
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In: http://www.cs.columbia.edu/techreports/cucs-014-03.pdf (2003)
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A Platform for Multilingual . . .
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In: http://www.cs.columbia.edu/~library/TR-repository/reports/reports-2003/cucs-014-03.ps.gz (2003)
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1. NTCIR Cross-Language Retrieval
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In: http://www.lrec-conf.org/proceedings/lrec2008/pdf/363_paper.pdf
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1. NTCIR Cross-Language Retrieval
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In: http://www.mt-archive.info/LREC-2008-Gey.pdf
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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://nlg18.csie.ntu.edu.tw:8080/opinion/clip2007.pdf
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Multi-lingual Opinion Analysis Applied to World News: A Case Study
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In: http://davidkirkevans.com/Publications_files/2007.03.jnlp.pdf
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