Abstract
We present a system developed for the CoNLL-2009 Shared Task (Hajič et al., 2009). We extend the Carreras (2007) parser to jointly annotate syntactic and semantic dependencies. This state-of-the-art parser factorizes the built tree in second-order factors. We include semantic dependencies in the factors and extend their score function to combine syntactic and semantic scores. The parser is coupled with an on-line averaged perceptron (Collins, 2002) as the learning method. Our averaged results for all seven languages are 71.49 macro F1, 79.11 LAS and 63.06 semantic F1.
| Original language | English |
|---|---|
| Title of host publication | CoNLL- 2009: Shared Task - Proceedings of the Thirteenth Conference on Computational Natural Language Learning, CoNLL: Shared Task |
| Pages | 79-84 |
| Number of pages | 6 |
| Publication status | Published - 1 Dec 2009 |
| Externally published | Yes |
| Event | 13th Conference on Computational Natural Language Learning, CoNLL 2009 - Boulder, CO, United States Duration: 4 Jun 2009 → 4 Jun 2009 |
Other
| Other | 13th Conference on Computational Natural Language Learning, CoNLL 2009 |
|---|---|
| Country | United States |
| City | Boulder, CO |
| Period | 4/6/09 → 4/6/09 |
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ASJC Scopus subject areas
- Artificial Intelligence
- Human-Computer Interaction
- Linguistics and Language
Cite this
Lluís, X., Bott, S., & Marques, L. (2009). A second-order Joint Eisner model for syntactic and semantic dependency parsing. In CoNLL- 2009: Shared Task - Proceedings of the Thirteenth Conference on Computational Natural Language Learning, CoNLL: Shared Task (pp. 79-84)