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Contribution Details
| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | No |
| Title | Pro3Gres Parser in the CoNLL Domain Adaptation Shared Task |
| Authors |
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| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Page Range | 1161 - 1165 |
| Event Title | Proc. of the ACL Conference, Workshop on Computational Natural Language Learning (CoNLL-XI) Shared Task |
| Place of Publication | Prague |
| Abstract Text | We present Pro3Gres, a deep-syntactic, fast dependency parser that combines a handwritten competence grammar with probabilistic performance disambiguation and that has been used in the biomedical domain. We discuss its performance in the domain adaptation open submission. We achieve average results, which is partly due to difficulties in mapping to the dependency representation used for the shared task. |
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