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Multi-source, Multilingual Information Extraction and Summarization

Overview of attention for book
Attention for Chapter 9: Open-Domain Multi-Document Summarization via Information Extraction: Challenges and Prospects
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Citations

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33 Mendeley
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Chapter title
Open-Domain Multi-Document Summarization via Information Extraction: Challenges and Prospects
Chapter number 9
Book title
Multi-source, Multilingual Information Extraction and Summarization
Published by
Springer, Berlin, Heidelberg, January 2013
DOI 10.1007/978-3-642-28569-1_9
Book ISBNs
978-3-64-228568-4, 978-3-64-228569-1
Authors

Heng Ji, Benoit Favre, Wen-Pin Lin, Dan Gillick, Dilek Hakkani-Tur, Ralph Grishman

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 3%
United States 1 3%
Australia 1 3%
Canada 1 3%
Unknown 29 88%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 36%
Student > Ph. D. Student 9 27%
Student > Doctoral Student 2 6%
Student > Bachelor 2 6%
Researcher 2 6%
Other 3 9%
Unknown 3 9%
Readers by discipline Count As %
Computer Science 27 82%
Unspecified 1 3%
Linguistics 1 3%
Materials Science 1 3%
Unknown 3 9%