A generative re-ranking model for dependency parsing
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| Publication date | 2009 |
| Book title | Proceedings of the 11th International Conference on Parsing Technologies, IWPT-09: 7-9 October 2009, Paris, France |
| Event | 11th International Conference on Parsing Technologies (IWPT-09), Paris, France |
| Pages (from-to) | 238-241 |
| Publisher | Morristown, NJ: Association for Computational Linguistics (ACL) |
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| Abstract | We propose a framework for dependency parsing based on a combination of discriminative and generative models. We use a discriminative model to obtain a k-best list of candidate parses, and subsequently rerank those candidates using a generative model. We show how this approach allows us to evaluate a variety of generative models, without needing different parser implementations. Moreover, we present empirical results that show a small improvement over state-of-the-art dependency parsing of English sentences. |
| Document type | Conference contribution |
| Published at | http://portal.acm.org/citation.cfm?id=1697285 |
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