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Understanding the Natural Language: A Case Study of the Academic Interview Domain

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dc.contributor.advisor Phan Minh, Dung
dc.contributor.author Poonperm, Chaichan
dc.contributor.other Dailey, Matthew
dc.contributor.other L.J. Bohez, Erik
dc.contributor.other Phan Minh, Thang
dc.date.accessioned 2019-05-07T04:33:46Z
dc.date.available 2019-05-07T04:33:46Z
dc.date.issued 2019-05
dc.identifier.other AIT
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/938
dc.description 66 P. en_US
dc.description.abstract The initiation of this thesis is how to understand the natural language that contains an enor- mous number of ambiguity aspects. With the aim of observing difficulties and coping with them, a system will be developed by applying natural language understanding (NLU). How- ever, dealing with the natural language demands a lot of processing, word, syntax, semantic analyzing and etc. Most of these tasks are successful and can be used in many applications, a search engine for example. The most difficult task of Natural Language Processing is Natural Language Understanding since the correct meaning has to be precisely determined and there are a huge number of possible meanings. Therefore, the focus of this thesis is this obscure component. The system going to be developed is a pipeline with several subsystems taken from other publicly available sources except some of the NLU part. The understanding part will be deliberately examined in order to disambiguate any ambiguities and yield the result the user needs. To make it feasible to solve, NLU will be applied to a small specific domain, the academic interview domain in which the vocabulary and number of word meaning size shrink and the language structure is much simpler. A number of sample AIT applications will be used to find out the language specification. Eventually, essential knowledge gained from this thesis will potentially be useful in a bigger domain. en_US
dc.description.sponsorship His Majesty the King’s Scholarships (Thailand) en_US
dc.publisher AIT en_US
dc.subject Natural Language Processing (NLP) en_US
dc.subject Natural Language Understanding (NLU) en_US
dc.subject Reasoning en_US
dc.subject Logic Programming en_US
dc.subject Prolog en_US
dc.subject Constraint Checking en_US
dc.subject Semantic en_US
dc.subject Ambiguity en_US
dc.title Understanding the Natural Language: A Case Study of the Academic Interview Domain en_US
dc.type Thesis en_US

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