Contextualized Embeddings based Transformer Encoder for Sentence Similarity Modeling in Answer Selection Task - researchr publication related

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Md. Tahmid Rahman Laskar, Jimmy Xiangji Huang, Enamul Hoque. Contextualized Embeddings based Transformer Encoder for Sentence Similarity Modeling in Answer Selection Task. In Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asunción Moreno, Jan Odijk, Stelios Piperidis, editors, Proceedings of The 12th Language Resources and Evaluation Conference, LREC 2020, Marseille, France, May 11-16, 2020. pages 5505-5514, European Language Resources Association, 2020. [doi]

The following publications are possibly variants of this publication:

Multi-task Sentence Encoding Model for Semantic Retrieval in Question Answering SystemsQiang Huang, Jianhui Bu, Weijian Xie, ShengWen Yang, Weijia Wu, Liping Liu. ijcnn 2019: 1-8 [doi]

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