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pro vyhledávání: '"Gregor Geigle"'
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 10 (2022)
Externí odkaz:
https://doaj.org/article/4d498fb3b1c94145816b84a16b808d1a
Autor:
Tim Baumgärtner, Kexin Wang, Rachneet Sachdeva, Gregor Geigle, Max Eichler, Clifton Poth, Hannah Sterz, Haritz Puerto, Leonardo F. R. Ribeiro, Jonas Pfeiffer, Nils Reimers, Gözde Şahin, Iryna Gurevych
Publikováno v:
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations.
Recent advances in NLP and information retrieval have given rise to a diverse set of question answering tasks that are of different formats (e.g., extractive, abstractive), require different model architectures (e.g., generative, discriminative), and