An Event-oriented Multi-Pass Sieve Module for Coreference Resolution

被引：1
|
作者：
Li, Qiang [1 ]
Liu, Zongtian [1 ]
Chen, Lei [1 ]
Wang, Xianchuan [1 ]
机构：
[1] Shanghai Univ, Sch Comp Engn & Sci, Shanghai, Peoples R China
来源：
2015 10TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND KNOWLEDGE ENGINEERING (ISKE) | 2015年
关键词：
event-oriented; object element; multi-pass sieve; coreference resolution;
D O I：
10.1109/ISKE.2015.56
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Coreference resolution is one of the key issues in the natural language processing, it can eliminate uncertain problems of event in the event-oriented natural language processing, and that is important for the upper application of event. This paper builds an event-oriented multi-pass sieve module for coreference resolution, and combined with the characteristics of the event, we add the constraint conditions to each sieve to improve the accuracy of each sieve. We use this module to carry on experiment for object elements of the event. Compared with machine learning method based on C4.5 decision tree, it has a very big enhancement on the performance.
引用
收藏
页码：203 / 207
页数：5
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