Nulty, Paul and Marquez i Villodre, l. and Wicentowski, R. (2007) UCD-PN: classification of semantic relations between nominals using wordnet and web counts. In: Agirre, E. (ed.) Proceedings of the 4th International Workshop on Semantic Evaluations: SemEval@ACL 2007. The Association for Computer Linguistics, pp. 374-377.
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.
Metadata
| Item Type: | Book Section |
|---|---|
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Depositing User: | Sarah Hall |
| Date Deposited: | 13 Jul 2021 14:51 |
| Last Modified: | 09 Aug 2023 12:51 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/45093 |
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