The Natural Language Decathlon (decaNLP) is a new benchmark for studying general NLP models that can perform a variety of complex, natural language tasks.
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 is a list of 100 important natural language processing (NLP) papers that serious students and researchers working in the field should probably know about and read.
S. Bordia, und S. Bowman. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop, Seite 7--15. Minneapolis, Minnesota, Association for Computational Linguistics, (Juni 2019)
S. Blodgett, S. Barocas, H. Daumé III, und H. Wallach. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, Seite 5454--5476. Online, Association for Computational Linguistics, (Juli 2020)