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  LEILA: Learning to Extract Information by Linguistic Analysis

Suchanek, F. M., Ifrim, G., & Weikum, G. (2006). LEILA: Learning to Extract Information by Linguistic Analysis. In Proceedings of the 2nd Workshop on Ontology Learning and Population (OLP2) @COLING/ACL 2006 (pp. 18-25). Stroudsburg, PA, USA: ACL.

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 Creators:
Suchanek, Fabian M.1, Author           
Ifrim, Georgiana1, Author           
Weikum, Gerhard1, Author           
Buitelaar, Paul, Editor
Cimiano, Philipp, Editor
Loos, Berenike, Editor
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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 Abstract: One of the challenging tasks in the context of the Semantic Web is to automatically extract instances of binary relations from Web documents - for example all pairs of a person and the corresponding birthdate. In this paper, we present LEILA, a system that can extract instances of arbitrary given binary relations from natural language Web documents - without human interaction. Different from previous approaches, LEILA uses a deep syntactic analysis. This results in consistent improvements over comparable systems (such as e.g. Snowball or TextToOnto).

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Language(s): eng - English
 Dates: 2006
 Publication Status: Issued
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 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 314377
Other: Local-ID: C1256DBF005F876D-9CEE4361BC63E2DFC125718C0036621D-SuchanekIW06
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Title: Untitled Event
Place of Event: Sydney, Australia
Start-/End Date: 2006-07-22

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Title: Proceedings of the 2nd Workshop on Ontology Learning and Population (OLP2) @COLING/ACL 2006
Source Genre: Proceedings
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Publ. Info: Stroudsburg, PA, USA : ACL
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 18 - 25 Identifier: ISBN: 1-932432-77-9