A theme allocation for a sentence based on head driven patterns

Authors:
Bo-Yeong Kang;Sung-Hyon Myaeng
Affiliations:
School of Engineering, Information and Communications University, Daejeon, Republic of Korea;School of Engineering, Information and Communications University, Daejeon, Republic of Korea
Venue:
TSD'05 Proceedings of the 8th international conference on Text, Speech and Dialogue
Year:
2005

Citing 1
Cited 1

An Evaluation of Statistical Approaches to Text Categorization

Information Retrieval

Semantic passage segmentation based on sentence topics for question answering

Information Sciences: an International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.