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Amrita-CEN@MSIR-FIRE2016: Code-mixed question classification using BoWs and RNN Embeddings

Publisher : CEUR Workshop Proceedings

Campus : Coimbatore

Center : Computational Engineering and Networking

Year : 2016

Abstract : Question classification is a key task in many question answering applications. Nearly all previous work on question classification has used machine learning and knowledge-based methods. This working note presents an embedding based Bag-of-Words method and Recurrent Neural Network to achieve an automatic question classification in the code-mixed Bengali-English text. We build two systems that classify questions mostly at the sentence level. We used a recurrent neural network for extracting features from the questions and Logistic regression for classification. We conduct experiments on Mixed Script Information Retrieval (MSIR) Task 1 dataset at FIRE20161. The experimental result shows that the proposed method is appropriate for the question classification task.

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