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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 6 Hits 1 – 20 of 113 1 GreaseLM: Graph REASoning Enhanced Language Models for Question Answering ... Zhang, Xikun; Bosselut, Antoine; Yasunaga, Michihiro. - : arXiv, 2022 BASE Show details 2 Universal Dependencies 2.9 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 3 Universal Dependencies 2.8.1 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 4 Universal Dependencies 2.8 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 5 Human-like informative conversations: Better acknowledgements using conditional mutual information ... Paranjape, Ashwin; Manning, Christopher D.. - : arXiv, 2021 BASE Show details 6 Universal Dependencies ... NAACL 2021 2021; de Marneffe, Marie-Catherine; Manning, Christopher. - : Underline Science Inc., 2021 BASE Show details 7 ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts ... Koreeda, Yuta; Manning, Christopher D.. - : arXiv, 2021 BASE Show details 8 ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; D. Manning, Christopher; Koreeda, Yuta. - : Underline Science Inc., 2021 BASE Show details 9 Conditional probing: measuring usable information beyond a baseline ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ethayarajh, Kawin; Hewitt, John. - : Underline Science Inc., 2021 BASE Show details 10 Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Fei-Fei, Li; Karamcheti, Siddharth. - : Underline Science Inc., 2021 BASE Show details 11 Human-like informative conversations: Better acknowledgements using conditional mutual information ... NAACL 2021 2021; Manning, Christopher; Paranjape, Ashwin. - : Underline Science Inc., 2021 BASE Show details 12 Biomedical and clinical English model packages for the Stanza Python NLP library Zhang, Yuhao; Zhang, Yuhui; Qi, Peng... In: J Am Med Inform Assoc (2021) BASE Show details 13 Universal Dependencies 2.7 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 14 Universal Dependencies 2.6 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 15 Stanza: A Python Natural Language Processing Toolkit for Many Human Languages ... Qi, Peng; Zhang, Yuhao; Zhang, Yuhui; Bolton, Jason; Manning, Christopher D.. - : arXiv, 2020 Abstract: We introduce Stanza, an open-source Python natural language processing toolkit supporting 66 human languages. Compared to existing widely used toolkits, Stanza features a language-agnostic fully neural pipeline for text analysis, including tokenization, multi-word token expansion, lemmatization, part-of-speech and morphological feature tagging, dependency parsing, and named entity recognition. We have trained Stanza on a total of 112 datasets, including the Universal Dependencies treebanks and other multilingual corpora, and show that the same neural architecture generalizes well and achieves competitive performance on all languages tested. Additionally, Stanza includes a native Python interface to the widely used Java Stanford CoreNLP software, which further extends its functionality to cover other tasks such as coreference resolution and relation extraction. Source code, documentation, and pretrained models for 66 languages are available at https://stanfordnlp.github.io/stanza. ... : ACL2020 System Demonstration. First two authors contribute equally. Website: https://stanfordnlp.github.io/stanza ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2003.07082 https://arxiv.org/abs/2003.07082 BASE Hide details 16 Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection ... Nivre, Joakim; de Marneffe, Marie-Catherine; Ginter, Filip. - : arXiv, 2020 BASE Show details 17 Syn-QG: Syntactic and Shallow Semantic Rules for Question Generation ... Dhole, Kaustubh D.; Manning, Christopher D.. - : arXiv, 2020 BASE Show details 18 Finding Universal Grammatical Relations in Multilingual BERT ... Chi, Ethan A.; Hewitt, John; Manning, Christopher D.. - : arXiv, 2020 BASE Show details 19 Universal Dependencies 2.5 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019 BASE Show details 20 Universal Dependencies 2.4 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2019 BASE Show details Page: 1 2 3 4 5 6

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