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1
Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs ...
Shang, Chao; Wang, Guangtao; Qi, Peng. - : arXiv, 2022
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2
Universal Dependencies 2.9
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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3
Universal Dependencies 2.8.1
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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4
Universal Dependencies 2.8
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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5
Biomedical and clinical English model packages for the Stanza Python NLP library
In: J Am Med Inform Assoc (2021)
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6
Universal Dependencies 2.7
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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7
Universal Dependencies 2.6
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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8
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages ...
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
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9
Universal Dependencies 2.5
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019
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10
CoNLL 2018 Shared Task System Outputs
Zeman, Daniel; Potthast, Martin; Duthoo, Elie. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2018
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11
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context ...
Khandelwal, Urvashi; He, He; Qi, Peng. - : arXiv, 2018
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12
CoNLL 2017 Shared Task System Outputs
Zeman, Daniel; Potthast, Martin; Straka, Milan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2017
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13
Arc-swift: A Novel Transition System for Dependency Parsing ...
Qi, Peng; Manning, Christopher D.. - : arXiv, 2017
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14
Additional file 1: of The production and sales of anti-tuberculosis drugs in China ...
Yang-Mu Huang; Qi-Peng Zhao; Qiao-Meng Ren. - : Figshare, 2016
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15
Additional file 1: of The production and sales of anti-tuberculosis drugs in China ...
Yang-Mu Huang; Qi-Peng Zhao; Qiao-Meng Ren. - : Figshare, 2016
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