The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Intricacies of Collins' Parsing Model
Open accessAbstract
This article documents a large set of heretofore unpublished details Collins used in his parser, such that, along with Collins' (1999) thesis, this article contains all information necessary to duplicate Collins' benchmark results. Indeed, these as-yet-unpublished details account for an 11% relative increase in error from an implementation including all details to a clean-room implementation of Collins' model. We also show a cleaner and equally well-performing method for the handling of punctuation and conjunction and reveal certain other probabilistic oddities about Collins' parser. We not only analyze the effect of the unpublished details, but also reanalyze the effect of certain well-known details, revealing that bilexical dependencies are barely used by the model and that head choice is not nearly as important to overall parsing performance as once thought. Finally, we perform experiments that show that the true discriminative power of lexicalization appears to lie in the fact that unlexicalized syntactic structures are generated conditioning on the headword and its part of speech.
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Cites
Building a Large Annotated Corpus of English: The Penn Treebank
Marcus, M. (1993) · doi:10.21236/ada273556 · Cited by 7,405
Head-Driven Statistical Models for Natural Language Parsing
Collins, M. (2003) · Computational Linguistics · doi:10.1162/089120103322753356 · Cited by 1,826
Automatic Labeling of Semantic Roles
Gildea, D., & Jurafsky, D. (2002) · Computational Linguistics · doi:10.1162/089120102760275983 · Cited by 1,626
A Maximum Entropy Model for Part-Of-Speech Tagging
Ratnaparkhi, A. (1996) · Cited by 1,317
Three generative, lexicalised models for statistical parsing
Collins, M. (1997) · Proceedings of the 35th annual meeting on Association for Computational Linguistics - · doi:10.3115/976909.979620 · Cited by 743
Witten, I. H., & Bell, T. C. (1991) · IEEE Transactions on Information Theory · doi:10.1109/18.87000 · Cited by 729
Nymble: a high-performance learning name-finder
Bikel, D. M., Miller, S., Schwartz, R., & Weischedel, R. (1997) · Proceedings of the fifth conference on Applied natural language processing - · doi:10.3115/974557.974586 · Cited by 726
Self-citationDiscriminative Reranking for Natural Language Parsing
Collins, M., & Koo, T. (2005) · Computational Linguistics · doi:10.1162/0891201053630273 · Cited by 710
Applications of stochastic context-free grammars using the Inside-Outside algorithm
Lari, K., & Young, S. J. (1991) · Computer Speech & Language · doi:10.1016/0885-2308(91)90009-f · Cited by 639
Empirical methods for artificial intelligence
(1996) · Choice Reviews Online · doi:10.5860/choice.33-5144 · Cited by 625
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Coarse-to-fine n-best parsing and MaxEnt discriminative reranking
Charniak, E., & Johnson, M. (2005) · Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics - ACL '05 · doi:10.3115/1219840.1219862 · Cited by 872
Search-based structured prediction
Daumé, H., Langford, J., & Marcu, D. (2009) · Machine Learning · doi:10.1007/s10994-009-5106-x · Cited by 465
Developing a Robust Part-of-Speech Tagger for Biomedical Text
Tsuruoka, Y., Tateishi, Y., Kim, J.-D., Ohta, T., McNaught, J., Ananiadou, S., & Tsujii, J. (2005) · Lecture Notes in Computer Science · doi:10.1007/11573036_36 · Cited by 436
The Importance of Syntactic Parsing and Inference in Semantic Role Labeling
Punyakanok, V., Roth, D., & Yih, W.-T. (2008) · Computational Linguistics · doi:10.1162/coli.2008.34.2.257 · Cited by 391
(2012) · Cited by 163
Metadata
- Authors
- Bikel, D. M.
- Venue
- Computational Linguistics
- Publisher
- MIT Press - Journals
- Published
- 2004-12
- Volume
- 30
- Issue
- 4
- Pages
- 479-511
- ISSN
- 0891-2017 (ISSN-L)
- 1530-9312
- OpenAlex
- W1985754308
- Cited by
- 265
- References
- 29
- FWCI
- 26.43
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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