Restricted Non-Projectivity: Coverage vs. Efficiency

Author:

Gómez-Rodríguez Carlos1

Affiliation:

1. Universidade da Coruña

Abstract

In the last decade, various restricted classes of non-projective dependency trees have been proposed with the goal of achieving a good tradeoff between parsing efficiency and coverage of the syntactic structures found in natural languages. We perform an extensive study measuring the coverage of a wide range of such classes on corpora of 30 languages under two different syntactic annotation criteria. The results show that, among the currently known relaxations of projectivity, the best tradeoff between coverage and computational complexity of exact parsing is achieved by either 1-endpoint-crossing trees or MHk trees, depending on the level of coverage desired. We also present some properties of the relation of MHk trees to other relevant classes of trees.

Publisher

MIT Press - Journals

Subject

Artificial Intelligence,Computer Science Applications,Linguistics and Language,Language and Linguistics

Reference24 articles.

1. Attardi, Giuseppe. 2006. Experiments with a multilanguage non-projective dependency parser. In Proceedings of CoNLL, pages 166–170, New York.

2. Going to the Roots of Dependency Parsing

3. Bodirsky, Manuel, Marco Kuhlmann, and Mathias Möhl. 2005. Well-nested drawings as models of syntactic structure. In Proceedings of FG-MoL, pages 195–203, Edinburgh.

4. Cohen, Shay B., Carlos Gómez-Rodríguez, and Giorgio Satta. 2011. Exact inference for generative probabilistic non-projective dependency parsing. In Proceedings of EMNLP, pages 1234–1245, Edinburgh.

5. Cohen, Shay B., Carlos Gómez-Rodríguez, and Giorgio Satta. 2013. Elimination of spurious ambiguity in transition-based dependency parsing. In Proceedings of ACL, pages 135–144, Sofia.

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