High-Precision Semantic Search by Generating and Testing Questions.

William Black; Christopher Rupp; Chikashi Nobata; John McNaught; Junichi Tsujii; Sophia Ananiadou

High-Precision Semantic Search by Generating and Testing Questions.

William Black, Christopher Rupp, Chikashi Nobata, John McNaught, Junichi Tsujii, Sophia Ananiadou

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

A novel way of allowing users to query large collections of scientific papers, looking for facts rather than documents, is presented. This is done in such a way that from ordinary search terms, queries are generated and tested, and only those known to match facts expressed within individual document sentences are proposed to the user, who then selects from a drop-down list.

Original language	English
Title of host publication	Proceedings of the UK e-Science All Hands Meeting
Pages	3pp
Publication status	Published - 2010
Event	UK e-Science All Hands Meeting 2010 - Duration: 1 Jan 1824 → …

Conference

Conference	UK e-Science All Hands Meeting 2010
Period	1/01/24 → …

Keywords

text mining
semantic search
fact extraction
information extraction

Access to Document

http://www.nactem.ac.uk/papers/Black_2010_AHM.pdfLicence: Other

Cite this

@inproceedings{4c8ee5f9503e47d3b46b5581d885e2f3,

title = "High-Precision Semantic Search by Generating and Testing Questions.",

abstract = "A novel way of allowing users to query large collections of scientific papers, looking for facts rather than documents, is presented. This is done in such a way that from ordinary search terms, queries are generated and tested, and only those known to match facts expressed within individual document sentences are proposed to the user, who then selects from a drop-down list.",

keywords = "text mining, semantic search, fact extraction, information extraction",

author = "William Black and Christopher Rupp and Chikashi Nobata and John McNaught and Junichi Tsujii and Sophia Ananiadou",

year = "2010",

language = "English",

pages = "3pp",

booktitle = "Proceedings of the UK e-Science All Hands Meeting",

note = "UK e-Science All Hands Meeting 2010 ; Conference date: 01-01-1824",

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TY - GEN

T1 - High-Precision Semantic Search by Generating and Testing Questions.

AU - Black, William

AU - Rupp, Christopher

AU - Nobata, Chikashi

AU - McNaught, John

AU - Tsujii, Junichi

AU - Ananiadou, Sophia

PY - 2010

Y1 - 2010

N2 - A novel way of allowing users to query large collections of scientific papers, looking for facts rather than documents, is presented. This is done in such a way that from ordinary search terms, queries are generated and tested, and only those known to match facts expressed within individual document sentences are proposed to the user, who then selects from a drop-down list.

AB - A novel way of allowing users to query large collections of scientific papers, looking for facts rather than documents, is presented. This is done in such a way that from ordinary search terms, queries are generated and tested, and only those known to match facts expressed within individual document sentences are proposed to the user, who then selects from a drop-down list.

KW - text mining

KW - semantic search

KW - fact extraction

KW - information extraction

M3 - Conference contribution

SP - 3pp

BT - Proceedings of the UK e-Science All Hands Meeting

T2 - UK e-Science All Hands Meeting 2010

Y2 - 1 January 1824

ER -

High-Precision Semantic Search by Generating and Testing Questions.

Abstract

Conference

Keywords

Access to Document

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Cite this