Abstract
Question Answering is a very actively developing filed of Natural Language Processing. In this field, the most active research work is currently going on with relation to the Question Classification module of a Question Answering System. It plays a very important role in determining the expectations of the user. The aim of question classification is to identify the type of questions and based on question type the expected answer will be extracted from the data. In the past years, question classification was done by using only rule-based approach. This approach was too specific for the users and it was difficult to achieve the purpose. In this paper, we will classify the cooking questions into different classes; the overall system is able to identify the new question type that will able to give a perfect answer of the question by using machine learning approach.
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Manna, R., Das, D., Gelbukh, A. (2020). Question Classification in a Question Answering System on Cooking. In: Martínez-Villaseñor, L., Herrera-Alcántara, O., Ponce, H., Castro-Espinoza, F.A. (eds) Advances in Computational Intelligence. MICAI 2020. Lecture Notes in Computer Science(), vol 12469. Springer, Cham. https://doi.org/10.1007/978-3-030-60887-3_10
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DOI: https://doi.org/10.1007/978-3-030-60887-3_10
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