The Open UniversitySkip to content
 

Developing position structure based framework for Chinese entity relation extraction

Zhang, Peng; Li, Wenjie; Hou, Yuexian and Song, Dawei (2011). Developing position structure based framework for Chinese entity relation extraction. ACM Transactions on Asian Language Information Processing, 10(3) 14/1-14/22.

DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1145/2002980.2002984
Google Scholar: Look up in Google Scholar

Abstract

Relation extraction is the task of finding semantic relations between two entities in text, and is often cast as a classification problem. In contrast to the significant achievements on English language, research progress in Chinese relation extraction is relatively limited. In this article, we present a novel Chinese relation extraction framework, which is mainly based on a 9-position structure. The design of this proposed structure is motivated by the fact that there are some obvious connections between relation types/subtypes and position structures of two entities. The 9-position structure can be captured with less effort than applying deep natural language processing, and is effective to relieve the class imbalance problem which often hurts the classification performance. In our framework, all involved features do not require Chinese word segmentation, which has long been limiting the performance of Chinese language processing. We also utilize some correction and inference mechanisms to further improve the classified results. Experiments on the ACE 2005 Chinese data set show that the 9-position structure feature can provide strong support for Chinese relation extraction. As well as this, other strategies are also effective to further improve the performance.

Item Type: Journal Article
Copyright Holders: 2011 ACM
ISSN: 1558-3430
Keywords: entity relation extraction; Chinese language; position structure; imbalance class classification
Academic Unit/Department: Mathematics, Computing and Technology > Computing & Communications
Item ID: 33894
Depositing User: Dawei Song
Date Deposited: 21 Jun 2012 08:44
Last Modified: 12 Feb 2014 12:37
URI: http://oro.open.ac.uk/id/eprint/33894
Share this page:

Actions (login may be required)

View Item
Report issue / request change

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340   general-enquiries@open.ac.uk