The Selection of Classifiers for a Data-driven Parser

Sardar Jaf; [Unknown] Ramsay

The Selection of Classifiers for a Data-driven Parser

Sardar Jaf, [Unknown] Ramsay

The University of Manchester

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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 that are generated from different classifiers on a data-driven parser to see they way each model contributes to parsing performance.

Original language	English
Title of host publication	The 12th International Workshop on Natural Language Processing and Cognitive Science
Place of Publication	Poland
Publication status	Published - Sept 2015
Event	The 12th International Workshop on Natural Language Processing and Cognitive Science - Jagiellonian University Duration: 22 Sept 2015 → 24 Sept 2015

Conference

Conference	The 12th International Workshop on Natural Language Processing and Cognitive Science
City	Jagiellonian University
Period	22/09/15 → 24/09/15

Keywords

Natural language parsing
Classification algorithms for parsing
Parsing Arabic
Data-driven parsing

Cite this

@inproceedings{0de65bea6e6f4ed5a7cf66a7dc82fa78,

title = "The Selection of Classifiers for a Data-driven Parser",

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 that are generated from different classifiers on a data-driven parser to see they way each model contributes to parsing performance.",

keywords = "Natural language parsing, Classification algorithms for parsing, Parsing Arabic, Data-driven parsing",

author = "Sardar Jaf and [Unknown] Ramsay",

year = "2015",

month = sep,

language = "English",

booktitle = "The 12th International Workshop on Natural Language Processing and Cognitive Science",

note = "The 12th International Workshop on Natural Language Processing and Cognitive Science ; Conference date: 22-09-2015 Through 24-09-2015",

}

TY - GEN

T1 - The Selection of Classifiers for a Data-driven Parser

AU - Jaf, Sardar

AU - Ramsay, [Unknown]

PY - 2015/9

Y1 - 2015/9

N2 - 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 that are generated from different classifiers on a data-driven parser to see they way each model contributes to parsing performance.

AB - 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 that are generated from different classifiers on a data-driven parser to see they way each model contributes to parsing performance.

KW - Natural language parsing

KW - Classification algorithms for parsing

KW - Parsing Arabic

KW - Data-driven parsing

M3 - Conference contribution

BT - The 12th International Workshop on Natural Language Processing and Cognitive Science

CY - Poland

T2 - The 12th International Workshop on Natural Language Processing and Cognitive Science

Y2 - 22 September 2015 through 24 September 2015

ER -

The Selection of Classifiers for a Data-driven Parser

Abstract

Conference

Keywords

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Cite this