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Author Ke Wang
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2010
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Presses ♦ Accuracy ♦ Semantics ♦ Artificial neural networks ♦ Syntactics ♦ Feature extraction ♦ Labeling
Abstract In this paper I propose a new method for labeling Chinese with semantic roles neither using syntactic parsing nor Part Of Speech tagging technologies. The whole task was divided into two subtasks, clustering and labeling. Clustering is aimed at partially replacing syntactic parsing, during which similar sentences are clustered together. In the labeling step, artificial neural networks is planted as many as the number of clusters, each of which takes charge of summing up features of chunks of a sentence and then labeling them with semantic roles. The experiment result shows this method is useful; and 83.8% correctness on average is achieved.
ISBN 9781424484829
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2010-08-31
Publisher Place Canada
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 139.44 kB
Page Count 4
Starting Page 182
Ending Page 185


Source: IEEE Xplore Digital Library