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1 - 7 of 7
reviews
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 Who wrote what where: analyzing the content of human and automatic summaries
Owczarzak K., Dang H. WASDGML 11 (Proceedings of the Workshop on Automatic Summarization for Different Genres, Media, and Languages, Portland, OR, Jun 23, 2011) 25-32, 2011. Type: Proceedings
Text summarization remains an elusive goal of automatic summarizers. The state of the art for summarization has begun to reach a limit using extractive techniques. Thus, systems have been given a new task of creating a more responsive ...
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Mar 12 2012 |
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Using topic themes for multi-document summarization
Harabagiu S., Lacatusu F. ACM Transactions on Information Systems 28(3): 1-47, 2010. Type: Article
With the increase of digital text and the rise of related metadata, there is a growing interest in finding ways to reduce information overload while still maintaining the most important and useful content. Focused multi-document summar...
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Nov 22 2010 |
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Author name disambiguation in MEDLINE
Torvik V., Smalheiser N. ACM Transactions on Knowledge Discovery from Data 3(3): 1-29, 2009. Type: Article
Solving the difficult problem of author name disambiguation will help greatly with social networking analysis and determining an individual author’s “image.”...
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Dec 11 2009 |
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Constructing corpora for the development and evaluation of paraphrase systems
Cohn T., Callison-Burch C., Lapata M. Computational Linguistics 34(4): 597-614, 2008. Type: Article
Automatic paraphrasing that provides a means to check the semantic equivalence of syntactically different written statements deriving from different sources improves plagiarism detection, semantic news aggregation, and even information...
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Sep 14 2009 |
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Incorporation of corpus-specific semantic information into question answering context
Banerjee P., Han H. ONISW 2008 (Proceeding of the 2nd International Workshop on Ontologies and Information Systems for the Semantic Web, Napa Valley, CA, Oct 30, 2008) 25-30, 2008. Type: Proceedings
Automatic question answering (QA) has taken another step toward combining proven information retrieval (IR) methods with sound statistically semantic techniques. QA is a specialized area of IR concerned with returning direct answers to...
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May 22 2009 |
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Information retrieval for music and motion
Müller M., Springer-Verlag New York, Inc., Secaucus, NJ, 2007. 318 pp. Type: Book (9783540740476)
Music and motion information retrieval (IR) research has taken a fundamental change in direction, from the standard use of text annotations describing such media for retrieval, to new and exciting research that bridges fundamental IR t...
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Oct 10 2008 |
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Understanding and characterizing insights: how do people gain insights using information visualization?
Yi J., Kang Y., Stasko J., Jacko J. BEyond time and errors (Proceedings of the 2008 Conference on BEyond Time and Errors: Novel EvaLuation Methods for Information Visualization, Florence, Italy, Apr 5, 2008) 1-6, 2008. Type: Proceedings
After extensively reviewing previous literature in information visualization, Yi et al. conclude that “insight” is not easily definable, citing several discrepancies throughout the literature. Insight can be describ...
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Aug 8 2008 |
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