The DOI matches its Crossref record; 21 of the 22 references it cites were found in a registry or an index.
Multilingual dependency analysis with a two-stage discriminative parser
Open accessAbstract
We present a two-stage multilingual dependency parser and evaluate it on 13 diverse languages. The first stage is based on the unlabeled dependency parsing models described by McDonald and Pereira (2006) augmented with morphological features for a subset of the languages. The second stage takes the output from the first and labels all the edges in the dependency graph with appropriate syntactic categories using a globally trained sequence classifier over components of the graph. We report results on the CoNLL-X shared task (Buchholz et al., 2006) data sets and present an error analysis.
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Metadata
- Authors
- McDonald, R., Lerman, K., & Pereira, F.
- Affiliations
- University of Pennsylvania (US)
- ORCID
- Pereira, Fernando
- Venue
- Proceedings of the Tenth Conference on Computational Natural Language Learning - CoNLL-X '06
- Published
- 2006
- Pages
- 216
- OpenAlex
- W2143541936
- Cited by
- 223
- References
- 22
- Citations by year
- 2022: 3 · 2021: 5 · 2020: 8 · 2019: 2 · 2018: 12 · 2017: 8 · 2016: 9 · 2015: 15 · 2014: 14 · 2013: 25 · 2012: 29
- FWCI
- 13.17
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Conference on Computational Natural Language Learning (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Social Sciences › Arts and Humanities › Language and Linguistics › Syntax, Semantics, Linguistic Variation
- Keywords
- multilingual dependency parsing, morphological features, sequence classification, error analysis
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