Information-based approach to punctuation
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
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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.
Natural language processing systems
Discourse representation theory