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Colloquium - Jing

ECCR 150

Automatic Text Summarization And Information Retrieval
Columbia University

Electronic text is available like never before. In this talk, I will present our research for helping users navigating, browsing, and understanding the vast amount of electronic documents.

Automatic text summarization can help users grasp the main content of a document in a short time. Commercial companies and research institutes have developed dozens of automatic summarizers to date. One common problem with these automatic summarizers is that they rely on simple extraction of sentences to produce summaries. Such summaries are often inconcise, incoherent, or even misleading. We have developed an automatic summarizer that aims to overcome these shortcomings. Rather than simply extracting sentences, our system can do intelligent "editing" to the extracted sentences so that they are more concise and coherent. We used techniques from a number of fields, including information retrieval and natural language processing (both statistical and symbolic techniques).

I will also briefly present our work on Information Retrieval, in which morphology and semantics are meaningfully integrated to address the sense ambiguity problem in retrieval. We used local context information as well as global corpus information for disambiguating words, particularly for retrieval purpose. The system effectively improves performance over the traditional vector-space model.

Hosted by James Martin.

The Department holds colloquia throughout the Fall and Spring semesters. These colloquia, open to the public, are typically held on Thursday afternoons, but sometimes occur at other times as well. If you would like to receive email notification of upcoming colloquia, subscribe to our Colloquia Mailing List. If you would like to schedule a colloquium, see Colloquium Scheduling.

Sign language interpreters are available upon request. Please contact Stephanie Morris at least five days prior to the colloquium.

See also:
Department of Computer Science
College of Engineering and Applied Science
University of Colorado Boulder
Boulder, CO 80309-0430 USA
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May 5, 2012 (13:29)