Information-based approach to punctuation
Date
1997-07Source Title
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Publisher
AAAI
Pages
818
Language
English
Type
Conference PaperItem Usage Stats
128
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34
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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.
Keywords
Constraint theoryFormal logic
Inference engines
Knowledge representation
Natural language processing systems
Discourse representation theory
Punctuation
Semantics
Computational linguistics