Improving distant supervision using inference learning

Roller, R.A., Agirre, E., Sorora, A. et al. (1 more author) (2015) Improving distant supervision using inference learning. In: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing. The 53rd Annual Meeting of the Association for Computational Linguistics and The 7th International Joint Conference of the Asian Federation of Natural Language Processing, 27-31 Jul 2015, China. Association for Computational Linguistics

Abstract

Distant supervision is a widely applied approach to automatic training of relation extraction systems and has the advantage that it can generate large amounts of labelled data with minimal effort. However, this data may contain errors and consequently systems trained using distant supervision tend not to perform as well as those based on manually labelled data. This work proposes a novel method for detecting potential false negative training examples using a knowledge inference method. Results show that our approach improves the performance of relation extraction systems trained using distantly supervised data.

Metadata

Item Type:	Proceedings Paper
Authors/Creators:	Roller, R.A. Agirre, E. Sorora, A. Stevenson, M.
Copyright, Publisher and Additional Information:	© 2015 Association for Computational Linguistics. Licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License (https://creativecommons.org/licenses/by-nc-sa/3.0/). Permission is granted to make copies for the purposes of teaching and research.
Dates:	Published: 28 July 2015
Institution:	The University of Sheffield
Academic Units:	The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User:	Symplectic Sheffield
Date Deposited:	29 Jan 2016 15:04
Last Modified:	19 Dec 2022 13:32
Published Version:	http://www.aclweb.org/anthology/P/P15/P15-2045.pdf
Status:	Published
Publisher:	Association for Computational Linguistics
Refereed:	Yes
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:90281

CORE (COnnecting REpositories)

Improving distant supervision using inference learning

Abstract

Metadata

Download

Published Version

Export

Statistics