Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition
Aus International Center for Computational Logic
Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition
Shima AsaadiShima Asaadi, Saif M. MohammadSaif M. Mohammad, Svetlana KiritchenkoSvetlana Kiritchenko
Shima Asaadi, Saif M. Mohammad, Svetlana Kiritchenko
Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition
Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), June 2019
Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition
Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), June 2019
- Weitere Informationen unter:Further Information: Link, Link
- Forschungsgruppe:Research Group: Computational LogicComputational Logic
@inproceedings{bird-naacl2019,
title={Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition},
author={Asaadi, Shima and Mohammad, Saif M. and Kiritchenko, Svetlana},
booktitle={Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL)},
year={2019},
address={Minneapolis, USA}
}
