An algorithm for suffix stripping
Readings in information retrieval
The disambiguation of nominalizations
Computational Linguistics
Using the web to obtain frequencies for unseen bigrams
Computational Linguistics - Special issue on web as corpus
Applied morphological processing of English
Natural Language Engineering
Another look at nominal compounds
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
Algorithm for automatic interpretation of noun sequences
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
A comparison of parsing technologies for the biomedical domain
Natural Language Engineering
Detecting novel compounds: the role of distributional evidence
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Transformation-based learning in the fast lane
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
A categorial variation database for English
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Web-based models for natural language processing
ACM Transactions on Speech and Language Processing (TSLP)
Noun-noun compound machine translation: a feasibility study on shallow processing
MWE '03 Proceedings of the ACL 2003 workshop on Multiword expressions: analysis, acquisition and treatment - Volume 18
Search engine statistics beyond the n-gram: application to noun compound bracketing
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Web-based and combined language models: a case study on noun compound identification
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Identification and treatment of multiword expressions applied to information retrieval
MWE '11 Proceedings of the Workshop on Multiword Expressions: from Parsing and Generation to the Real World
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We present two novel paraphrase tests for automatically predicting the inherent semantic relation of a given compound nominalisation as one of subject, direct object, or prepositional object. We compare these to the usual verb-argument paraphrase test using corpus statistics, and frequencies obtained by scraping the Google search engine interface. We also implemented a more robust statistical measure than maximum likelihood estimation --- the confidence interval. A significant reduction in data sparseness was achieved, but this alone is insufficient to provide a substantial performance improvement.