Deterministic Choices in a Data-driven Parser

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

Deterministic Choices in a Data-driven Parser

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

Authors

Sardar Jaf

Allan Ramsay

Bernadette Sharp

Wieslaw Lubaszewski

Rodolfo Delmonte

Abstract

Data-driven parsers rely on recommendations from parse models, which are generated from a set of training data using a machine learning classifier, to perform parse operations. However, in some cases a parse model cannot recommend a parse action to a parser unless it learns from the training data what parse action(s) to take in every possible situation. Therefore, it will be hard for a parser to make an informed decision as to what parse operation to perform when a parse model recommends no/several parse actions to a parser. Here we examine the effect of various deterministic choices on a datadriven parser when it is presented with no/several recommendation from a parse model.

Citation

Jaf, S., Ramsay, A., Sharp, B., Lubaszewski, W., & Delmonte, R. (2015). Deterministic Choices in a Data-driven Parser. In Natural language processing and cognitive science : proceedings 2015 (95-103)

Conference Name	The 12th International Workshop on Natural Language Processing and Cognitive Science.
Conference Location	Krakow, Poland
Start Date	Sep 22, 2015
End Date	Sep 24, 2015
Acceptance Date	Sep 22, 2015
Publication Date	Sep 22, 2015
Deposit Date	Feb 12, 2016
Publicly Available Date	Nov 14, 2016
Pages	95-103
Book Title	Natural language processing and cognitive science : proceedings 2015.
Publisher URL	http://nlpcs2015.epi.uj.edu.pl/