Information-based approach to punctuation

Date
1997-07
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Source Title
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Print ISSN
Electronic ISSN
Publisher
AAAI
Volume
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Pages
818
Language
English
Type
Conference Paper
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Abstract

This thesis analyzes, in an information-based framework, the semantic and discourse aspects of punctuation, drawing computational implications for Natural Language Processing (NLP) systems. The Discourse Representation Theory (DRT) is taken as the theoretical framework of the thesis. By following this analysis, it is hoped that NLP software writers will be able to make use of the punctuation marks effectively as well as reveal interesting linguistic phenomena in conjunction with punctuation marks.

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Keywords
Constraint theory, Formal logic, Inference engines, Knowledge representation, Natural language processing systems, Discourse representation theory, Punctuation, Semantics, Computational linguistics
Citation
Published Version (Please cite this version)