Paper: Learning Correlations between Linguistic Indicators and Semantic Constraints: Reuse of Context-Dependent Descriptions of Entities

ACL ID C98-2171
Title Learning Correlations between Linguistic Indicators and Semantic Constraints: Reuse of Context-Dependent Descriptions of Entities
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1998
Authors

This paper presents the results of a study on the semantic constraints imposed on lexical choice by certain contextual indicators. We show how such indicators are computed and how correla- tions between them and the choice of a noun phrase description of a named entity can be au- tomatically established using supervised learn- ing. Based on this correlation, we have devel- oped a technique for automatic lexical choice of descriptions of entities in text generation. We discuss the underlying relationship between the pragmatics of choosing an appropriate descrip- tion that serves a specific purpose in the auto- matically generated text and the semantics of the description itself. We present our work in the framework of the more general concept of reuse of linguistic structur...