Nulty, Paul (2007) UCD-PN: classification of semantic relations between nominals using wordnet and web counts. In: Proceedings of the 4th International Workshop on Semantic Evaluations, 2007-01-01.
Full text not available from this repository.Abstract
For our system we use the SMO implementation of a support vector machine provided with the WEKA machine learning toolkit. As with all machine learning approaches, the most important step is to choose a set of features which reliably help to predict the label of the example. We used 76 features drawn from two very different knowledge sources. The first 48 features are Boolean values indicating whether or not each of the nominals in the sentence are linked to certain other words in the WordNet hypernym and meronym networks. The remaining 28 features are web frequency counts for the two nominals joined by certain common prepositions and verbs. Our system performed well on all but two of the relations; theme-tool and origin entity.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Official URL: | http://www.aclweb.org/policies |
| Additional Information: | © 2007 Association for Computational Linguistics |
| Divisions: | Methodology |
| Subjects: | C Auxiliary Sciences of History > C Auxiliary sciences of history (General) Q Science > QA Mathematics > QA76 Computer software |
| JEL classification: | C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology; Computer Programs > C82 - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology; Computer Programs > C88 - Other Computer Software |
| Date Deposited: | 08 Jul 2014 16:07 |
| Last Modified: | 13 Sep 2024 14:04 |
| URI: | http://eprints.lse.ac.uk/id/eprint/57581 |
Actions (login required)
 |
View Item |
