M. Collins. Discriminative reranking for natural language parsing. In Machine Learning: Proceedings of the Seventeenth International Conference, 2000.  Home/Search Document Details and Download
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....conversely, interpretive failure at a higher level leaves intact the propositions extracted from lower levels. The choice of Treebank corpora as a basis for our initial knowledge extraction work is a natural one, since there exist robust, fairly accurate parsers trained on Treebank corpora (e.g. [7, 10, 9]) and these would eventually allow us to bootstrap our approach to very large unannotated corpora. The major challenge was that of providing reasonably reliable interpretive rules, at least for many of the clausal and other phrasal units that we viewed as potential sources of general ....
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Collins, M. (2000). Discriminative Reranking for Natural Language Parsing. Proceedings of the Seventeenth International Conference on Machine Learning. San Francisco: Morgan Kaufmann.
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M. Collins. Discriminative reranking for natural language parsing. In Machine Learning: Proceedings of the Seventeenth International Conference, 2000.
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