Schneider, G (2003). A low-complexity, broad-coverage probabilistic Dependency Parser for English. In: NAACL/HLT 2003 Student session, Edmonton, Canada, May 2003.
Large-scale parsing is still a complex and time-consuming process, often so much that it is in-feasible in real-world applications. The parsing system described here addresses this problem by combining finite-state approaches, statistical parsing techniques and engineering knowl- edge, thus keeping parsing complexity as low as possible at the cost of a slight decrease in performance. The parser is robust and fast and at the same time based on strong linguistic foundations.
Large-scale parsing is still a complex and time-consuming process, often so much that it is in-feasible in real-world applications. The parsing system described here addresses this problem by combining finite-state approaches, statistical parsing techniques and engineering knowl- edge, thus keeping parsing complexity as low as possible at the cost of a slight decrease in performance. The parser is robust and fast and at the same time based on strong linguistic foundations.
| Item Type: | Conference or Workshop Item (Paper), refereed, original work |
|---|---|
| Communities & Collections: | 06 Faculty of Arts > Institute of Computational Linguistics |
| Dewey Decimal Classification: | 000 Computer science, knowledge & systems
410 Linguistics |
| Language: | English |
| Event End Date: | May 2003 |
| Deposited On: | 30 Jul 2009 09:49 |
| Last Modified: | 05 Jan 2022 08:16 |
| OA Status: | Green |
Schneider, G