Autor: |
Coppola, Gregory F., Birch, Alexandra, Deoskar, Tejaswini, Steedman, Mark |
Jazyk: |
angličtina |
Rok vydání: |
2011 |
Zdroj: |
Coppola, G F, Birch, A, Deoskar, T & Steedman, M 2011, Simple Semi-Supervised Learning for Prepositional Phrase Attachment . in Proceedings of the 12th International Conference on Parsing Technologies, IWPT 2011, October 5-7, 2011, Dublin City University, Dubin, Ireland . pp. 129-139 . < http://www.aclweb.org/anthology/W11-2916 > |
Popis: |
Prepositional phrase attachment is an important subproblem of parsing, performance on which suffers from limited availability of labelled data. We present a semi-supervised approach. We show that a discriminative lexical model trained from labelled data, and a generative lexical model learned via Expectation Maximization from unlabelled data can be combined in a product model to yield a PP-attachment model which is better than either is alone, and which outperforms the modern parser of Petrov and Klein (2007) by a significant margin. We show that, when learning from unlabelled data, it can be beneficial to model the generation of modifiers of a head collectively, rather than individually. Finally, we suggest that our pair of models will be interesting to combine using new techniques for discriminatively constraining EM. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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