Summary of the paper
| Title | Single Classifier Approach for Verb Sense Disambiguation based on Generalized Features |
|---|---|
| Authors | Daisuke Kawahara and Martha Palmer |
| Abstract | We present a supervised method for verb sense disambiguation based on VerbNet. Most previous supervised approaches to verb sense disambiguation create a classifier for each verb that reaches a frequency threshold. These methods, however, have a significant practical problem that they cannot be applied to rare or unseen verbs. In order to overcome this problem, we create a single classifier to be applied to rare or unseen verbs in a new text. This single classifier also exploits generalized semantic features of a verb and its modifiers in order to better deal with rare or unseen verbs. Our experimental results show that the proposed method achieves equivalent performance to per-verb classifiers, which cannot be applied to unseen verbs. Our classifier could be utilized to improve the classifications in lexical resources of verbs, such as VerbNet, in a semi-automatic manner and to possibly extend the coverage of these resources to new verbs. |
| Topics | Lexicon, Lexical Database, Semantics |
Full paper  |
Single Classifier Approach for Verb Sense Disambiguation based on Generalized Features |
| Bibtex | @InProceedings{KAWAHARA14.90, author = {Daisuke Kawahara and Martha Palmer}, title = {Single Classifier Approach for Verb Sense Disambiguation based on Generalized Features}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |