Statistical Models for Unsupervised Prepositional Phrase Attachment
| dc.creator | Ratnaparkhi, Adwait | |
| dc.date | 1998-07-22 | |
| dc.date.accessioned | 2026-07-07T02:36:19Z | |
| dc.date.available | 2026-07-07T02:36:19Z | |
| dc.description | We present several unsupervised statistical models for the prepositional phrase attachment task that approach the accuracy of the best supervised methods for this task. Our unsupervised approach uses a heuristic based on attachment proximity and trains from raw text that is annotated with only part-of-speech tags and morphological base forms, as opposed to attachment information. It is therefore less resource-intensive and more portable than previous corpus-based algorithms proposed for this task. We present results for prepositional phrase attachment in both English and Spanish. | |
| dc.description | uses colacl.sty | |
| dc.identifier | https://arxiv.org/abs/cmp-lg/9807011 | |
| dc.identifier | http://arxiv.org/abs/cmp-lg/9807011 | |
| dc.identifier | Proceedings of the 17th International Conference on Computational Linguistics (COLING-ACL '98) | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/15875 | |
| dc.subject | Computation and Language | |
| dc.title | Statistical Models for Unsupervised Prepositional Phrase Attachment | |
| dc.type | text |