Deterministic parsing using PCFGs
- Submitting institution
-
University of St Andrews
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 255251332
- Type
- E - Conference contribution
- DOI
-
10.3115/v1/E14-1036
- Title of conference / published proceedings
- Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics
- First page
- 338
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- April
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
A - Artificial Intelligence
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work offers a novel view on deterministic context-free parsing of natural language, demonstrating that there is a trade-off between speed and accuracy. This opens the possibility of fine-tuning the parameters of a single parsing framework, depending on the requirements of the application.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
