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
Recent Advances in Natural Language Processing III
Language: en
Pages: 420
Authors: Nicolas Nicolov
Categories: Language Arts & Disciplines
Type: BOOK - Published: 2004 - Publisher: John Benjamins Publishing

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This volume brings together revised versions of a selection of papers presented at the 2003 International Conference on "Recent Advances in Natural Language Pro
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