The week's pick
Reseach Article
Machine Learning Approaches for Bengali Automated Question Detection System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 178 - Number 22 |
| Year of Publication: 2019 |
| Authors: Saifuddin Al Azad Sagor, Nurul Azim Rizvi, Md Mahadi Hasan Nahid |
10.5120/ijca2019918937
|
Saifuddin Al Azad Sagor, Nurul Azim Rizvi, Md Mahadi Hasan Nahid . Machine Learning Approaches for Bengali Automated Question Detection System. International Journal of Computer Applications. 178, 22 ( Jun 2019), 1-4. DOI=10.5120/ijca2019918937
Abstract
Question detection is the initial tasks of question answering system. Question detection, the first step of QA system has been done applying SVM, Logistic Regression, K-Neighbor classifier, Multilayer Perceptron and LSTM. We achieved best performance for SVM with linear kernel trick. For 2000 feature words we got 1.4% error rate which is best among the approaches we used for Bengali language. For LSTM algorithm we got 3.22% error rate. LSTM looks promising with large and better dataset.
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