Combining Answers from Heterogeneous Web Documents for Question Answering

Combining Answers from Heterogeneous Web Documents for Question Answering
Author: Christian Martin Meyer
Publisher:
Total Pages:
Release: 2009
Genre:
ISBN:

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Combining Answers from Heterogeneous Web Documents for Question Answering
Language: en
Pages:
Authors: Christian Martin Meyer
Categories:
Type: BOOK - Published: 2009 - Publisher:

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Knowledge-Based Information Retrieval and Filtering from the Web
Language: en
Pages: 316
Authors: Witold Abramowicz
Categories: Computers
Type: BOOK - Published: 2013-03-09 - Publisher: Springer Science & Business Media

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Knowledge-Based Information Retrieval and Filtering from the Web contains fifteen chapters, contributed by leading international researchers, addressing the mat
Question Answering for the Curated Web
Language: en
Pages: 172
Authors: Rishiraj Saha Roy
Categories: Mathematics
Type: BOOK - Published: 2022-05-31 - Publisher: Springer Nature

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Question answering (QA) systems on the Web try to provide crisp answers to information needs posed in natural language, replacing the traditional ranked list of
Encyclopaedic Question Answering
Language: en
Pages:
Authors: Iustin Dornescu
Categories:
Type: BOOK - Published: 2012 - Publisher:

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Open-domain question answering (QA) is an established NLP task which enables users to search for speciVc pieces of information in large collections of texts. In
Information Retrieval Technology
Language: en
Pages: 457
Authors: Dawei Song
Categories: Computers
Type: BOOK - Published: 2009-09-30 - Publisher: Springer

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This book constitutes the refereed proceedings of the 5th Asia Information Retrieval Symposium, AIRS 2009, held in Sapporo, Japan, in October 2009. The 18 revis