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Listening-oriented response generation by exploiting user responses.

, , and . Pattern Recognit. Lett., (2020)

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Exploiting knowledge base to generate responses for natural language dialog listening agents., , , and . SIGDIAL Conference, page 129-133. The Association for Computer Linguistics, (2015)Cross-lingual Transfer Learning for Fake News Detector in a Low-Resource Language.. CoRR, (2022)Multi-Source Hybrid Question Answering System., , , , and . IWSDS, page 241-245. Springer, (2015)Listening-oriented response generation by exploiting user responses., , and . Pattern Recognit. Lett., (2020)Open-domain personalized dialog system using user-interested topics in system responses., , , and . ASRU, page 771-776. IEEE, (2015)Micro-Counseling Dialog System Based on Semantic Content., , and . IWSDS, page 63-72. Springer, (2015)Answer ranking based on named entity types for question answering., , , and . IMCOM, page 71. ACM, (2017)Keyword question answering system with report generation for linked data., , , , , and . BigComp, page 23-26. IEEE Computer Society, (2015)Question Answering System using Multiple Information Source and Open Type Answer Merge., , , , , and . HLT-NAACL, page 111-115. The Association for Computational Linguistics, (2015)A Hierarchical Domain Model-Based Multi-Domain Selection Framework for Multi-Domain Dialog Systems., , , , , , and . COLING (Posters), page 1049-1058. Indian Institute of Technology Bombay, (2012)