Committee-based decision making in probabilistic partial parsing
説明
This paper explores two directions for the next step beyond the state of the art of statistical parsing: probabilistic partial parsing and committee-based decision making. Probabilistic partial parsing is a probabilistic extension of the existing notion of partial parsing, which enables fine-grained arbitrary choice on the trade-off between accuracy and coverage. Committee-based decision making is to combine the out-puts from different systems to make a better decision. While various committee-based techniques for NLP have recently been investigated, they would need to be further extended so as to be applicable to probabilistic partial parsing. Aiming at this coupling, this paper gives a general framework to committee-based decision making, which consists of a set of weighting functions and a combination function, and discusses how it can be coupled with probabilistic partial parsing. Our experiments have so far been producing promising results.
収録刊行物
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- Proceedings of the 18th conference on Computational linguistics -
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Proceedings of the 18th conference on Computational linguistics - 1 348-354, 2000-01-01
Association for Computational Linguistics (ACL)
