The Selection of Classifiers for a Data-driven Parser

Jaf, Sardar; Ramsay, Allan; Sharp, Bernadette; Lubaszewski, Wieslaw; Delmonte, Rodolfo

Abstract

There is a large number of classifiers that can be used for generating a parse model; i.e., as an oracle for guiding data-driven parsers when parsing natural languages. In this paper we present a general and simple approach for generating a parse model. Additionally, we present a large number of experiments on various classifiers. We also present the effect of various parse models, which are generated from different classifiers, on a data-driven parser to see the way each model contributes to parsing performance.

Citation

Jaf, S., Ramsay, A., Sharp, B., Lubaszewski, W., & Delmonte, R. (2015, September). The Selection of Classifiers for a Data-driven Parser. Presented at The 12th International Workshop on Natural Language Processing and Cognitive Science., Krakow, Poland

• Presentation Conference Type: Conference Paper (published)
• Conference Name: The 12th International Workshop on Natural Language Processing and Cognitive Science.
• Start Date: Sep 22, 2015
• End Date: Sep 24, 2015
• Publication Date: Sep 24, 2015
• Deposit Date: Feb 12, 2016
• Publicly Available Date: Nov 14, 2016
• Pages: 39-49
• Book Title: Natural language processing and cognitive science : proceedings 2015.
• Public URL: https://durham-repository.worktribe.com/output/1151857
• Publisher URL: http://nlpcs2015.epi.uj.edu.pl/