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DC Field | Value | Language |
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dc.contributor.author | Upadhya, B.A. | - |
dc.contributor.author | Udupa, S. | - |
dc.contributor.author | Sowmya, Kamath S. | - |
dc.date.accessioned | 2020-03-30T10:02:33Z | - |
dc.date.available | 2020-03-30T10:02:33Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | 2019 10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019, 2019, Vol., , pp.- | en_US |
dc.identifier.uri | https://idr.nitk.ac.in/jspui/handle/123456789/7610 | - |
dc.description.abstract | Automatic generation of responses to questions is a challenging problem that has applications in fields like customer support, question-answering forums etc. Prerequisite to developing such systems is a requirement for a methodology that classifies questions as yes/no or opinion-based questions, so that quick and accurate responses can be provided. Performing this classification is advantageous, as yes/no questions can generally be answered using the data that is already available. In the case of an opinion-based or a yes/no question that wasn't previously answered, an external knowledge source is needed to generate the answer. We propose a LSTM based model that performs question classification into the two aforementioned categories. Given a question as an input, the objective is to classify it into opinion-based or yes/no question. The proposed model was tested on the Amazon community question-answer dataset as it is reflective of the problem statement we are trying to solve. The proposed methodology achieved promising results, with a high accuracy rate of 91% in question classification. � 2019 IEEE. | en_US |
dc.title | Deep Neural Network Models for Question Classification in Community Question-Answering Forums | en_US |
dc.type | Book chapter | en_US |
Appears in Collections: | 2. Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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10 Deep Neural Network.pdf | 792.32 kB | Adobe PDF | View/Open |
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