Summary of the paper
| Title | Using Verb Subcategorization for Word Sense Disambiguation |
|---|---|
| Authors | Will Roberts and Valia Kordoni |
| Abstract | We develop a model for predicting verb sense from subcategorization information and integrate it into SSI-Dijkstra, a wide-coverage knowledge-based WSD algorithm. Adding syntactic knowledge in this way should correct the current poor performance of WSD systems on verbs. This paper also presents, for the first time, an evaluation of SSI-Dijkstra on a standard data set which enables a comparison of this algorithm with other knowledge-based WSD systems. Our results show that our system is competitive with current graph-based WSD algorithms, and that the subcategorization model can be used to achieve better verb sense disambiguation performance. |
| Topics | Word Sense Disambiguation, Parsing, Language modelling |
Full paper  |
Using Verb Subcategorization for Word Sense Disambiguation |
| Bibtex | @InProceedings{ROBERTS12.269, author = {Will Roberts and Valia Kordoni}, title = {Using Verb Subcategorization for Word Sense Disambiguation}, booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)}, year = {2012}, month = {may}, date = {23-25}, address = {Istanbul, Turkey}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-7-7}, language = {english} } |