Abstract
In this work we learn clusters of contextual annotations for non-terminals in the Penn Treebank. Perhaps the best way to think about this problem is to contrast our work with that of Klein and Manning (2003). That research used tree-transformations to create various grammars with different contextual annotations on the non-terminals. These grammars were then used in conjunction with a CKY parser. The authors explored the space of different annotation combinations by hand. Here we try to automate the process- to learn the "right" combination automatically. Our results are not quite as good as those carefully created by hand, but they are close (84.8 vs 85.7). © 2006 Association for Computational Linguistics.
Cite
CITATION STYLE
Headden, W. P., Charniak, E., & Johnson, M. (2006). Learning phrasal categories. In COLING/ACL 2006 - EMNLP 2006: 2006 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference (pp. 301–307). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1610075.1610118
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