Apportioning Development Effort in a Probabilistic LR Parsing System through Evaluation
| dc.creator | Carroll, John | |
| dc.creator | Briscoe, Ted | |
| dc.date | 1996-04-12 | |
| dc.date.accessioned | 2026-07-07T09:10:08Z | |
| dc.date.available | 2026-07-07T09:10:08Z | |
| dc.description | We describe an implemented system for robust domain-independent syntactic parsing of English, using a unification-based grammar of part-of-speech and punctuation labels coupled with a probabilistic LR parser. We present evaluations of the system's performance along several different dimensions; these enable us to assess the contribution that each individual part is making to the success of the system as a whole, and thus prioritise the effort to be devoted to its further enhancement. Currently, the system is able to parse around 80% of sentences in a substantial corpus of general text containing a number of distinct genres. On a random sample of 250 such sentences the system has a mean crossing bracket rate of 0.71 and recall and precision of 83% and 84% respectively when evaluated against manually-disambiguated analyses. | |
| dc.description | 10 pages, 1 Postscript figure. To Appear in Proceedings of the Conference on Empirical Methods in Natural Language Processing, University of Pennsylvania, May 1996 | |
| dc.identifier | https://arxiv.org/abs/cmp-lg/9604004 | |
| dc.identifier | http://arxiv.org/abs/cmp-lg/9604004 | |
| dc.identifier | Conference on Empirical Methods in Natural Language Processing (EMNLP-96), 92-100 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/151271 | |
| dc.subject | Computation and Language | |
| dc.title | Apportioning Development Effort in a Probabilistic LR Parsing System through Evaluation | |
| dc.type | text |