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Amrita-CEN@MSIR-FIRE2016: Code-Mixed Question Classification using BoWs and RNN Embeddings
2016
Forum for Information Retrieval Evaluation
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
dblp:conf/fire/MP16
fatcat:cj6yhogpdndcpiqqcc6tcbtzaq