loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Ludovic Jean-Louis ; Romaric Besançon ; Olivier Ferret and Adrien Durand

Affiliation: CEA, LIST and Vision and Content Engineering Laboratory, France

Keyword(s): Information extraction, Relation extraction.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Mining Text and Semi-Structured Data ; Symbolic Systems

Abstract: Standard Information Extraction (IE) systems are designed for a specific domain and a limited number of relations. Recent work has been undertaken to deal with large-scale IE systems. Such systems are characterized by a large number of relations and no restriction on the domain, which makes difficult the definition of manual resources or the use of supervised techniques. In this paper, we present a large-scale IE system based on a weakly supervised method of pattern learning. This method uses pairs of entities known to be in relation to automatically extract example sentences from which the patterns are learned. We present the results of this system on the data from the KBP task of the TAC 2010 evaluation campaign.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.141.202.54

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Jean-Louis, L.; Besançon, R.; Ferret, O. and Durand, A. (2011). A WEAKLY SUPERVISED APPROACH FOR LARGE-SCALE RELATION EXTRACTION. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR; ISBN 978-989-8425-79-9; ISSN 2184-3228, SciTePress, pages 94-103. DOI: 10.5220/0003661200940103

@conference{kdir11,
author={Ludovic Jean{-}Louis. and Romaric Besan\c{C}on. and Olivier Ferret. and Adrien Durand.},
title={A WEAKLY SUPERVISED APPROACH FOR LARGE-SCALE RELATION EXTRACTION},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR},
year={2011},
pages={94-103},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003661200940103},
isbn={978-989-8425-79-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR
TI - A WEAKLY SUPERVISED APPROACH FOR LARGE-SCALE RELATION EXTRACTION
SN - 978-989-8425-79-9
IS - 2184-3228
AU - Jean-Louis, L.
AU - Besançon, R.
AU - Ferret, O.
AU - Durand, A.
PY - 2011
SP - 94
EP - 103
DO - 10.5220/0003661200940103
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic