Automatic acquisition of adjectival subcategorization from corpora
Pages 614 - 621
Abstract
This paper describes a novel system for acquiring adjectival subcategorization frames (SCFs) and associated frequency information from English corpus data. The system incorporates a decision-tree classifier for 30 SCF types which tests for the presence of grammatical relations (GRs) in the output of a robust statistical parser. It uses a powerful pattern-matching language to classify GRs into frames hierarchically in a way that mirrors inheritance-based lexica. The experiments show that the system is able to detect SCF types with 70% precision and 66% recall rate. A new tool for linguistic annotation of SCFs in corpus data is also introduced which can considerably alleviate the process of obtaining training and test data for subcategorization acquisition.
References
[1]
B. Boguraev, J. Carroll, E. Briscoe, D. Carter, and C. Grover. 1987. The derivation of a grammatically-indexed lexicon from the Longman Dictionary of Contemporary English. In Proceedings of the 25th Annual Meeting of the Association for Computational Linguistics, pages 193--200, Stanford, CA.
[2]
Michael R. Brent. 1991. Automatic acquisition of sub-categorization frames from untagged text. In Meeting of the Association for Computational Linguistics, pages 209--214.
[3]
E. J. Briscoe and J. Carroll. 1997. Automatic Extraction of Subcategorization from Corpora. In Proceedings of the 5th Conference on Applied Natural Language Processing, Washington DC, USA.
[4]
E. Briscoe and J. Carroll. 2002. Robust accurate statistical annotation of general text. In Proceedings of the Third International Conference on Language Resources and Evaluation, pages 1499--1504, Las Palmas, Canary Islands, May.
[5]
E. Briscoe, J. Carroll, Jonathan Graham, and Ann Copestake. 2002. Relational evaluation schemes. In Proceedings of the Beyond PARSEVAL Workshop at the 3rd International Conference on Language Resources and Evaluation, pages 4--8, Las Palmas, Gran Canaria.
[6]
Lou Burnard, 1995. The BNC Users Reference Guide. British National Corpus Consortium, Oxford, May.
[7]
J. Carroll and E. Briscoe. 2002. High precision extraction of grammatical relations. In Proceedings of the 19th International Conference on Computational Linguistics, pages 134--140, Taipei, Taiwan.
[8]
Glenn Carroll and Mats Rooth. 1998. Valence induction with a head-lexicalized pcfg. In Proc. of the 3rd Conference on Empirical Methods in Natural Language Processing, Granada, Spain.
[9]
J. Carroll, E. Briscoe, and A. Sanfilippo. 1998a. Parser evaluation: a survey and a new proposal. In Proceedings of the 1st International Conference on Language Resources and Evaluation, pages 447--454, Granada, Spain.
[10]
John Carroll, Guido Minnen, and Edward Briscoe. 1998b. Can Subcategorisation Probabilities Help a Statistical Parser? In Proceedings of the 6th ACL/SIGDAT Workshop on Very Large Corpora, pages 118--126, Montreal, Canada. Association for Computational Linguistics.
[11]
Eva Esteve Ferrer. 2004. Towards a Semantic Classification of Spanish Verbs Based on Subcategorisation Information. In ACL Student Research Workshop, Barcelona, Spain.
[12]
Dan Flickinger and John Nerbonne. 1992. Inheritance and complementation: A case study of easy adjectives and related nouns. Computational Linguistics, 18(3):269--309.
[13]
Daisuke Kawahara and Sadao Kurohashi. 2002. Fertilization of Case Frame Dictionary for Robust Japanese Case Analysis. In 19th International Conference on Computational Linguistics.
[14]
Anna Korhonen, Yuval Krymolowski, and Zvika Marx. 2003. Clustering Polysemic Subcategorization Frame Distributions Semantically. In Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics, pages 64--71, Sapporo, Japan.
[15]
Anna Korhonen. 2002. Subcategorization acquisition. Ph.D. thesis, University of Cambridge Computer Laboratory, February.
[16]
Catherine Macleod, Ralph Grishman, and Adam Meyers, 1998. COMLEX Syntax Reference Manual. Computer Science Department, New York University.
[17]
Christopher D. Manning. 1993. Automatic Acquisition of a Large Subcategorization Dictionary from Corpora. In Meeting of the Association for Computational Linguistics, pages 235--242.
[18]
S. Schulte im Walde and C. Brew. 2002. Inducing german semantic verb classes from purely syntactic subcategorisation information. In 40th Annual Meeting of the Association for Computational Linguistics, Philadephia, USA.
[19]
Mihai Surdeanu, Sanda Harabagiu, JohnWilliams, and Paul Aarseth. 2003. Using predicate-argument structures for information extraction. In Proc. of the 41st Annual Meeting of the Association for Computational Linguistics, Sapporo.
[20]
Susanne Rohen Wolff, Catherine Macleod, and Adam Meyers, 1998. COMLEX Word Classes Manual. Computer Science Department, New York University, June.
- Automatic acquisition of adjectival subcategorization from corpora
Recommendations
Bengali verb subcategorization frame acquisition: a baseline model
ALR7: Proceedings of the 7th Workshop on Asian Language ResourcesAcquisition of verb subcategorization frames is important as verbs generally take different types of relevant arguments associated with each phrase in a sentence in comparison to other parts of speech categories. This paper presents the acquisition of ...
Acquiring Verb Subcategorization Frames in Bengali from Corpora
ICCPOL '09: Proceedings of the 22nd International Conference on Computer Processing of Oriental Languages. Language Technology for the Knowledge-based EconomySubcategorization frames acquisition of a phrase can be described as a mechanism to extract different types of relevant arguments that are associated with that phrase in a sentence. This paper presents the acquisition of different subcategory frames for ...
A subcategorization acquisition system for French verbs
HLT-SRWS '08: Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Student Research WorkshopThis paper presents a system capable of automatically acquiring subcategorization frames (SCFs) for French verbs from the analysis of large corpora. We applied the system to a large newspaper corpus (consisting of 10 years of the French newspaper 'Le ...
Comments
Information & Contributors
Information
Published In
Publisher
Association for Computational Linguistics
United States
Publication History
Published: 25 June 2005
Qualifiers
- Article
Acceptance Rates
ACL '05 Paper Acceptance Rate 77 of 423 submissions, 18%;
Overall Acceptance Rate 85 of 443 submissions, 19%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 243Total Downloads
- Downloads (Last 12 months)49
- Downloads (Last 6 weeks)11
Reflects downloads up to 09 Nov 2024
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in