Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition - researchr publication authors

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Shima Asaadi, Saif Mohammad, Svetlana Kiritchenko. Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition. In Jill Burstein, Christy Doran, Thamar Solorio, editors, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2-7, 2019, Volume 1 (Long and Short Papers). pages 505-516, Association for Computational Linguistics, 2019. [doi]

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