Improving Part-of-speech Tagging for Context-free Parsing
Year: 2011
Type: conference-paper
Abstract: In this paper, we propose a factored parsing model consisting of a lexical and a constituent model. The discriminative lexical model allows the parser to utilize rich contextual features beyond those encoded in the context-free grammar (CFG) in use. Experiment results reveal that our parser achieves statistically significant improvement in both parsing and tagging accuracy on both English and Chinese. © 2011 AFNLP
Source: CityU Scholars
Authors: Xiao Dong Chen, Chunyu Kit
Institution: City University of Hong Kong
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2250187521