'Multi document summarization' presentation slideshows

Multi document summarization - PowerPoint PPT Presentation

Text summarization

Text summarization

Text summarization. Tutorial ACM SIGIR Sheffield, UK July 25, 2004. Dragomir R. Radev CLAIR: Computational Linguistics And Information Retrieval group University of Michigan radev@umich.edu. Part I Introduction. Information overload. The problem: 4 Billion URLs indexed by Google

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1.7k views • 153 slides
Text summarization

Text summarization

Text summarization. radev@umich.edu. Part I Introduction. Information overload. The problem: 40 Billion URLs indexed by Google Possible approaches: information retrieval document clustering information extraction visualization question answering text summarization. Types of summaries.

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1.77k views • 150 slides
Text summarization

Text summarization

Text summarization. Dragomir R. Radev . Part I Introduction. Information overload. The problem: 4 Billion URLs indexed by Google 200 TB of data on the Web [Lyman and Varian 03] Possible approaches: information retrieval document clustering information extraction visualization

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1.82k views • 150 slides
Towards Automated Related Work Summarization

Towards Automated Related Work Summarization

Towards Automated Related Work Summarization. Cong Duy Vu Hoang July 2010. Outline. Introduction Previous Studies Data Manual Analysis Proposed System Experiments & Results Future Work Conclusion. Introduction. Scenario :. Prior community knowledge. relate.

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987 views • 70 slides
An IR Approach to Multi-document Summarization

An IR Approach to Multi-document Summarization

An IR Approach to Multi-document Summarization. Joint work with Prasad Pingali, Jagadeesh J, Chandan Kumar and Praveen B. Vasudeva Varma, IIIT Hyderabad. Agenda. Multi-document Summarization (MDS) - Motivation Three Flavors of MDS Query focused Summarization Update Summarization

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381 views • 38 slides
A Machine Reading-based Approach to Update Summarization

A Machine Reading-based Approach to Update Summarization

A Machine Reading-based Approach to Update Summarization. Andrew Hickl , Kirk Roberts , and Finley Lacatusu Language Computer Corporation April 26, 2007. Overview. Introduction Why Machine Reading? System Overview Question Processing Sentence Retrieval and Ranking

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456 views • 29 slides
A Machine Reading-based Approach to Update Summarization

A Machine Reading-based Approach to Update Summarization

A Machine Reading-based Approach to Update Summarization. Andrew Hickl , Kirk Roberts , and Finley Lacatusu Language Computer Corporation April 26, 2007. Overview. Introduction Why Machine Reading? System Overview Question Processing Sentence Retrieval and Ranking

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295 views • 29 slides

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