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A Comprehensive Comparison of Machine Learning Based Methods Used in Bengali Question Classification
November 08, 2019 ยท Declared Dead ยท ๐ 2019 IEEE International Conference on Signal Processing, Information, Communication & Systems (SPICSCON)
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Authors
Afra Anika, Md. Hasibur Rahman, Salekul Islam, Abu Shafin Mohammad Mahdee Jameel, Chowdhury Rafeed Rahman
arXiv ID
1911.03059
Category
cs.CL: Computation & Language
Citations
3
Venue
2019 IEEE International Conference on Signal Processing, Information, Communication & Systems (SPICSCON)
Last Checked
5 months ago
Abstract
QA classification system maps questions asked by humans to an appropriate answer category. A sound question classification (QC) system model is the pre-requisite of a sound QA system. This work demonstrates phases of assembling a QA type classification model. We present a comprehensive comparison (performance and computational complexity) among some machine learning based approaches used in QC for Bengali language.
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