From lexical cohesion to textual coherence: A data driven perspective

被引：8
|
作者：
Harabagiu, SM [1 ]
机构：
[1] So Methodist Univ, Dept Comp Sci & Engn, Dallas, TX 75275 USA
来源：
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE | 1999年 / 13卷 / 02期
关键词：
coherence relations; lexical paths; thesauri;
D O I：
10.1142/S0218001499000148
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents research that connects the cohesion structure of a text to the derivation of its coherence structure. Two different algorithms that derive the cohesion structure in the form of lexical paths from large thesauri are illustrated. Their results are correlated with (1) cue phrases of discourse usage and (2) coherence constraints empirically derived. A novel model of coherence structure is devised, based on the data provided by lexical paths from real world texts.
引用
收藏
页码：247 / 265
页数：19
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