A Comprehensive Comparison of Machine Learning Based Methods Used in Bengali Question Classification
| Autor: | Abu Shafin Mohammad Mahdee Jameel, Afra Anika, Salekul Islam, Md. Hasibur Rahman, Chowdhury Rafeed Rahman |
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| Rok vydání: | 2019 |
| Předmět: |
FOS: Computer and information sciences
Boosting (machine learning) Computer Science - Computation and Language business.industry Computer science Feature extraction Machine learning computer.software_genre language.human_language Support vector machine Statistical classification Bengali language Artificial intelligence business computer Computation and Language (cs.CL) |
| DOI: | 10.48550/arxiv.1911.03059 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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