JOURNAL ARTICLE

Dependency Parsing

Joakim Nivre

Year: 2010 Journal:   Language and Linguistics Compass Vol: 4 (3)Pages: 138-152   Publisher: Wiley

Abstract

Abstract Dependency parsing is a form of syntactic parsing of natural language based on the theoretical tradition of dependency grammar. It has recently gained widespread interest in the computational linguistics community and has been used for applications such as information extraction, machine translation and question answering. In this article, we review the current state of the art in dependency parsing, starting with a characterization of the basic problem and some motivation for why dependency parsing may be a useful alternative to other forms of syntactic parsing. The major part of the article is devoted to an examination of the four main approaches that exist in the field today: context‐free dependency parsing, constraint dependency parsing, graph‐based dependency parsing, and transition‐based dependency parsing. Each approach is described in detail and its strengths and weaknesses are highlighted.

Keywords:
Dependency grammar Parsing Computer science Natural language processing Dependency (UML) Top-down parsing language S-attributed grammar Artificial intelligence Bottom-up parsing Top-down parsing Dependency graph Context (archaeology) Parser combinator Parsing expression grammar Computational linguistics Graph Context-free grammar L-attributed grammar Theoretical computer science

Metrics

31
Cited By
0.00
FWCI (Field Weighted Citation Impact)
54
Refs
0.43
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Semantic Web and Ontologies
Physical Sciences →  Computer Science →  Artificial Intelligence

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