Abstract
The NLP systems often have low performances because they rely on unreliable and heterogeneous knowledge. We show on the task of non-anaphoric it identification how to overcome these handicaps with the Bayesian Network (BN) formalism. The first results are very encouraging compared with the state-of-the-art systems.
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CITATION STYLE
APA
Weissenbacher, D. (2006). Bayesian network, a model for NLP? In EACL 2006 - 11th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference (pp. 195–198). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1608974.1609007
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