Say, Bilge2016-02-082016-02-081997-07http://hdl.handle.net/11693/27697Date of Conference: 27 - 31 July, 1997Conference name: AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligenceThis 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.EnglishConstraint theoryFormal logicInference enginesKnowledge representationNatural language processing systemsDiscourse representation theoryPunctuationSemanticsComputational linguisticsInformation-based approach to punctuationConference Paper