Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Head-Driven Statistical Models for Natural Language Parsing
Computational Linguistics
Coarse-to-fine n-best parsing and MaxEnt discriminative reranking
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Graph transformations in data-driven dependency parsing
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Using the web as an implicit training set: application to structural ambiguity resolution
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
High-precision biological event extraction with a concept recognizer
BioNLP '09 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing: Shared Task
Parallel entity and treebank annotation
CorpusAnno '05 Proceedings of the Workshop on Frontiers in Corpus Annotations II: Pie in the Sky
Coordinate structure analysis with global structural constraints and alignment-based local features
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
Identifying non-elliptical entity mentions in a coordinated NP with ellipses
Journal of Biomedical Informatics
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Determining the correct structure of coordinating conjunctions and the syntactic constituents that they coordinate is a difficult task. This subtask of syntactic parsing is explored here for biomedical scientific literature. In particular, the intuition that sentences containing coordinating conjunctions can often be rephrased as two or more smaller sentences derived from the coordination structure is exploited. Generating candidate sentences corresponding to different possible coordination structures and comparing them with a language model is employed to help determine which coordination structure is best. This strategy is used to augment a simple baseline system for coordination resolution which outperforms both the baseline system and a constituent parser on the same task.