The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Open accessAbstract
We introduce Sta n z a , an open-source Python natural language processing toolkit supporting 66 human languages.Compared to existing widely used toolkits, Sta n z a features a language-agnostic fully neural pipeline for text analysis, including tokenization, multiword token expansion, lemmatization, part-ofspeech and morphological feature tagging, dependency parsing, and named entity recognition.We have trained Sta n z a 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, Sta n z a 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.
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Cites
Enriching Word Vectors with Subword Information
Bojanowski, P., Grave, E., Joulin, A., & Mikolov, T. (2017) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00051 · Cited by 9,645
The Stanford CoreNLP Natural Language Processing Toolkit
Manning, C., Surdeanu, M., Bauer, J., Finkel, J., Bethard, S., & McClosky, D. (2014) · Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations · doi:10.3115/v1/p14-5010 · Cited by 7,037
Self-citationIntroduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition
Tjong Kim Sang, E. F., & De Meulder, F. (2003) · Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - · doi:10.3115/1119176.1119195 · Cited by 2,788
Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition
Sang, E. T. K. (2002) · arXiv (Cornell University) · doi:10.48550/arxiv.cs/0209010 · Cited by 1,560
Contextual String Embeddings for Sequence Labeling
Akbik, A., Blythe, D. A. J., & Vollgraf, R. (2018) · International Conference on Computational Linguistics · Cited by 1,086
One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling
Chelba, C., Mikolov, T., Schuster, M., Ge, Q., Brants, T., Koehn, P., & Robinson, T. (2013) · arXiv · doi:10.48550/arxiv.1312.3005 · Cited by 1,051
Deep Biaffine Attention for Neural Dependency Parsing
Atmani, M., & Lafourcade, M. (2016) · arXiv (Cornell University) · doi:10.4230/oasics.ldk.2021.24 · Cited by 693
One billion word benchmark for measuring progress in statistical language modeling
Chelba, C., Mikolov, T., Schuster, M., Ge, Q., Brants, T., Koehn, P., & Robinson, T. (2014) · Interspeech 2014 · doi:10.21437/interspeech.2014-564 · Cited by 627
Findings of the 2018 Conference on Machine Translation (WMT18)
Bojar, O., Federmann, C., Fishel, M., Graham, Y., Haddow, B., Koehn, P., & Monz, C. (2018) · Proceedings of the Third Conference on Machine Translation: Shared Task Papers · doi:10.18653/v1/w18-6401 · Cited by 520
Introduction to the CoNLL-2002 shared task: language-independent named entity recognition
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Transformers: State-of-the-Art Natural Language Processing
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Nandy, A., Duan, C., & Kulik, H. J. (2021) · Journal of the American Chemical Society · doi:10.1021/jacs.1c07217 · Cited by 200
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation
Miura, Y., Zhang, Y., Tsai, E., Langlotz, C., & Jurafsky, D. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · doi:10.18653/v1/2021.naacl-main.416 · Cited by 149
Self-citationTweetNLP: Cutting-Edge Natural Language Processing for Social Media
Camacho-collados, J., Rezaee, K., Riahi, T., Ushio, A., Loureiro, D., Antypas, D., Boisson, J., Espinosa Anke, L., Liu, F., & Martínez Cámara, E. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations · doi:10.18653/v1/2022.emnlp-demos.5 · Cited by 142
Metadata
- Authors
- Qi, P., Zhang, Y., Zhang, Y., Bolton, J., & Manning, C. D.
- Venue
- Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
- Published
- 2020
- Pages
- 101-108
- OpenAlex
- W3037109418
- Cited by
- 1,431
- References
- 20
- FWCI
- 93.63
- Type
- conference paper
- Language
- en
- Open access
- hybrid
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