Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
This page contains various evaluation benchmarks developed and released (as open source) by researchers working in the field of semantics (in no particular order). If you know of a resource that should be present here, please drop me an email.
D. Schmidt, A. Zehe, J. Lorenzen, L. Sergel, S. Düker, M. Krug, и F. Puppe. Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, стр. 49--56. Punta Cana, Dominican Republic (online), Association for Computational Linguistics, (ноября 2021)
D. Schmidt, A. Zehe, J. Lorenzen, L. Sergel, S. Düker, M. Krug, и F. Puppe. Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, стр. 49--56. Punta Cana, Dominican Republic (online), Association for Computational Linguistics, (ноября 2021)
R. Snow, B. O'Connor, D. Jurafsky, и A. Ng. EMNLP '08: Proceedings of the Conference on Empirical Methods in Natural Language Processing, стр. 254--263. Morristown, NJ, USA, Association for Computational Linguistics, (2008)