Ranking and Reranking with Perceptron

Author:

Shen Libin,Joshi Aravind K.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference28 articles.

1. Charniak, E. (2000). A maximum-entropy-inspired parser. In J. Wiebe (Ed.), Proceedings of the 1st meeting of the north American chapter of the association for computational linguistics (pp. 132–139). Washington, USA: Seattle.

2. Collins, M., (1999). Head-Driven statistical models for natural language parsing. Ph.D. thesis, University of Pennsylvania.

3. Collins, M. (2000). Discriminative reranking for natural language parsing. In P. Langley (Ed.), Proceedings of the 17th International Conference on Machine Learning (pp. 175–182). Standord, CA, USA: Morgan Kaufmann.

4. Collins, M. (2004). Parameter estimation for statistical parsing models: Theory and practice of distribution-free methods. In H. Bunt, J. Carroll, & G. Satta (Eds.), New developments in parsing technology. Kluwer Academic Publishers.

5. Collins, M., & Duffy N. (2002). New ranking algorithms for parsing and tagging: Kernels over discrete structures, and the voted perceptron. In E. Charniak, & D. Lin (Eds.), Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL)(pp. 263–270). Philadelphia, PA, USA.

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