Multi-Task Learning in Conditional Random Fields for Chunking in Shallow Semantic Parsing

Saike He, Xiaojie Wang, Yuan Dong, Taozheng Zhang, Xue Bai
2009 Pacific Asia Conference on Language, Information and Computation  
Alternating Structure Optimization (ASO) is a recently proposed linear Multitask Learning algorithm. Although its effective has been verified in both semi-supervised as well as supervised methods, yet they necessitate taking external resource as a prerequisite. Therefore, feasibility of employing ASO to further improve the performance merely rests on the labeled data on hand proves to be a task deserving close scrutiny. Catering to this challenging while untapped problem, this paper presents a
more » ... ovel application of ASO to the subtask of Shallow Semantic Parsing: Chunking. Our experiments on Chinese Treebank 5.0 present promising result in chunk analysis, and the error rate is reduced by 5.72%, proposing a profound way to further improve the performance.
dblp:conf/paclic/HeWDZB09 fatcat:ffzytoroibah3ev5xcjedh3jdq