Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/41231
Title: Automatic relation extraction with model order selection and discriminative label identification
Authors: Chen, J.
Ji, D.
Tan, C.L. 
Niu, Z.
Issue Date: 2005
Source: Chen, J.,Ji, D.,Tan, C.L.,Niu, Z. (2005). Automatic relation extraction with model order selection and discriminative label identification. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3651 LNAI : 390-401. ScholarBank@NUS Repository.
Abstract: In this paper, we study the problem of unsupervised relation extraction based on model order identification and discriminative feature analysis. The model order identification is achieved by stability-based clustering and used to infer the number of the relation types between entity pairs automatically. The discriminative feature analysis is used to find discriminative feature words to name the relation types. Experiments on ACE corpus show that the method is promising. © Springer-Verlag Berlin Heidelberg 2005.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/41231
ISBN: 3540291725
ISSN: 03029743
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

53
checked on Dec 16, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.