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Hybrid CNN-LSTM Model for Answer Identification
2019
International journal of recent technology and engineering
User quest for information has led to development of Question Answer (QA) system to provide relevant answers to user questions. The QA task are different than normal NLP tasks as they heavily depend to semantics and context of given data. Retrieving and predicting answers to verity of questions require understanding of question, relevance with context and identifying and retrieving of suitable answers. Deep learning helps to produce impressive performance as it employs deep neural network with
doi:10.35940/ijrte.c4281.098319
fatcat:manqnd4r75b33c2dasxt6nvyxe