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Comparison of Machine Learning Based Methods Used in Bengali Question Classification

2019-11-08 05:30:33
Afra Anika, Md. Hasibur Rahman, Dr. Salekul Islam, Abu Shafin Mohammad Mahdee Jameel, Chowdhury Rafeed Rahman
arXiv_CV
       
Abstract

This paper work demonstrates phases of assembling a question answer type classification model. It is a step towards constructing a Question Answering (QA) system in Bengali Language. Question Answering (QA) has become a significant part of our developed life. As question classification is initial part of Question Answering (QA) system, it has become a concern for us to build question answer type classification system model.Question answer type classification system classifies the natural language questions. It categories the question asked by the user in natural language into correct Answer Category (AC). This paper presents the work to question classification in Bengali on machine learning approach using different types of algorithms such as Multi-Layer Perceptron (MLP), Naive Bayes Classifier (NBC),Support Vector Machine (SVM), Gradient Boosting Classifier(GBC), Stochastic Gradient Descent (SGD) by eliminating and without eliminating stop words.

Abstract (translated)

URL

https://arxiv.org/abs/1911.03059

PDF

https://arxiv.org/pdf/1911.03059.pdf

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