A theme allocation for a sentence based on head driven patterns

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Since sentences are the basic propositional units of text, knowing their themes should help various tasks requiring the knowledge about the semantic content of text. In this paper, we examine the notion of sentence theme and propose an automatic scheme where head-driven patterns are used for theme assignment. We tested our scheme with sentences in encyclopedia articles and obtained a promising result of 98.96% in F-score for training data and 88.57% for testing data, which outperform the baseline.
Publisher
SPRINGER-VERLAG BERLIN
Issue Date
2005
Language
English
Article Type
Article; Proceedings Paper
Citation

TEXT, SPEECH AND DIALOGUE, PROCEEDINGS BOOK SERIES: LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, v.3658, pp.187 - 194

ISSN
0302-9743
URI
http://hdl.handle.net/10203/16875
Appears in Collection
CS-Journal Papers(저널논문)
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