The DOI matches its OpenAlex record; 33 of the 33 references it cites were found in a registry or an index.
A Universal Part-of-Speech Tagset
Open accessAbstract
To facilitate future research in unsupervised induction of syntactic structure and to standardize best-practices, we propose a tagset that consists of twelve universal part-of-speech categories. In addition to the tagset, we develop a mapping from 25 different treebank tagsets to this universal set. As a result, when combined with the original treebank data, this universal tagset and mapping produce a dataset consisting of common parts-of-speech for 22 different languages. We highlight the use of this resource via two experiments, including one that reports competitive accuracies for unsupervised grammar induction without gold standard part-of-speech tags.
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Cites
Building a Large Annotated Corpus of English: The Penn Treebank
Marcus, M. (1993) · doi:10.21236/ada273556 · Cited by 7,405
Feature-rich part-of-speech tagging with a cyclic dependency network
Toutanova, K., Klein, D., Manning, C. D., & Singer, Y. (2003) · Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - NAACL '03 · doi:10.3115/1073445.1073478 · Cited by 2,844
The myth of language universals: Language diversity and its importance for cognitive science
Evans, N., & Levinson, S. C. (2009) · Behavioral and Brain Sciences · doi:10.1017/s0140525x0999094x · Cited by 2,623
TnT: a statistical part-of-speech tagger
Brants, T. (2000) · Proceedings of the sixth conference on Applied natural language processing - · doi:10.3115/974147.974178 · Cited by 1,329
CoNLL-X shared task on multilingual dependency parsing
Buchholz, S., & Marsi, E. (2006) · Proceedings of the Tenth Conference on Computational Natural Language Learning - CoNLL-X '06 · doi:10.3115/1596276.1596305 · Cited by 963
Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments
Gimpel, K., Schneider, N., O'Connor, B., Das, D., Mills, D. P., Eisenstein, J., Heilman, M., Yogatama, D., Flanigan, J., & Smith, N. A. (2018) · Figshare · doi:10.1184/r1/6473609.v1 · Cited by 800
Self-citationThe CoNLL 2007 Shared Task on Dependency Parsing
Nivre, J., Hall, J., Kübler, S., McDonald, R., Nilsson, J., Riedel, S., & Yüret, D. (2007) · Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt) · Cited by 663
Self-citationCorpus-based induction of syntactic structure: models of dependency and constituency
Klein, D., & Manning, C. D. (2004) · Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics - ACL '04 · doi:10.3115/1218955.1219016 · Cited by 440
Building a Treebank for French
Abeillé, A., Clément, L., & Toussenel, F. (2003) · Text, Speech and Language Technology · doi:10.1007/978-94-010-0201-1_10 · Cited by 433
Part-of-Speech Tagging from 97% to 100%: Is It Time for Some Linguistics?
Manning, C. D. (2011) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-19400-9_14 · Cited by 408
Cited by
Low Resource Dependency Parsing: Cross-lingual Parameter Sharing in a Neural Network Parser
Duong, L., Cohn, T., Bird, S., & Cook, P. (2015) · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers) · doi:10.3115/v1/p15-2139 · Cited by 402
Mimicking Word Embeddings using Subword RNNs
Pinter, Y., Guthrie, R., & Eisenstein, J. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d17-1010 · Cited by 177
Multi-Source Domain Adaptation with Mixture of Experts
Guo, J., Shah, D., & Barzilay, R. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d18-1498 · Cited by 168
Towards Transparent and Explainable Attention Models
Mohankumar, A. K., Nema, P., Narasimhan, S., Khapra, M. M., Srinivasan, B. V., & Ravindran, B. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/2020.acl-main.387 · Cited by 91
Linguistically debatable or just plain wrong?
Plank, B., Hovy, D., & Søgaard, A. (2014) · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · doi:10.3115/v1/p14-2083 · Cited by 86
Metadata
- Authors
- Petrov, S., Das, D., & McDonald, R.
- Venue
- Language Resources and Evaluation Conference (LREC)
- Published
- 2012-05-01
- Pages
- 2089-2096
- OpenAlex
- W2143995218
- Cited by
- 722
- References
- 33
- FWCI
- 51.70
- Type
- conference paper
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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