The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe
Open accessAbstract
We present an update to UDPipe 1.0 (Straka et al., 2016), a trainable pipeline which performs sentence segmentation, tokenization, POS tagging, lemmatization and dependency parsing.We provide models for all 50 languages of UD 2.0, and furthermore, the pipeline can be trained easily using data in CoNLL-U format.For the purpose of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, the updated UDPipe 1.1 was used as one of the baseline systems, finishing as the 13th system of 33 participants.A further improved UDPipe 1.2 participated in the shared task, placing as the 8th best system, while achieving low running times and moderately sized models.The tool is available under open-source Mozilla Public Licence (MPL) and provides bindings for C++, Python (through ufal.udpipePyPI package), Perl (through UFAL::UDPipe CPAN package), Java and C#.
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Exploiting Generative AI to Scale up Intelligent Tutoring Systems
Jakubův, J., Chvalovský, K., Goertzel, Z., Kaliszyk, C., Olšák, M., Piotrowski, B., Schulz, S., Suda, M., & Urban, J. (2023) · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · doi:10.4230/lipics.itp.2023.19 · Cited by 76,658
Distributed Representations of Words and Phrases and their Compositionality
Mikolov, T., Sutskever, I., Chen, K., Corrado, G., & Dean, J. (2013) · arXiv · doi:10.48550/arxiv.1310.4546 · Cited by 24,533
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Natural Language Processing (almost) from Scratch
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Cited by
CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
Zeman, D., Popel, M., Straka, M., Hajic, J., Nivre, J., Ginter, F., Luotolahti, J., Pyysalo, S., Petrov, S., Potthast, M., et al. (2017) · Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies · doi:10.18653/v1/k17-3001 · Cited by 367
Self-citationA Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages
Ortiz Suárez, P. J., Romary, L., & Sagot, B. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/2020.acl-main.156 · Cited by 166
Simple, Interpretable and Stable Method for Detecting Words with Usage Change across Corpora
Gonen, H., Jawahar, G., Seddah, D., & Goldberg, Y. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/2020.acl-main.51 · Cited by 59
What Kind of Language Is Hard to Language-Model?
Mielke, S. J., Cotterell, R., Gorman, K., Roark, B., & Eisner, J. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/p19-1491 · Cited by 18
Metadata
- Authors
- Straka, M., & Straková, J.
- Venue
- Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
- Published
- 2017
- Pages
- 88-99
- OpenAlex
- W2741029840
- Cited by
- 567
- References
- 26
- FWCI
- 35.95
- Type
- conference paper
- Language
- en
- Open access
- gold
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