Work

Adapting a general parser to a sublanguage

Year: 2006

Type: preprint

Abstract: In this paper, we propose a method to adapt a general parser (Link Parser) to sublanguages, focusing on the parsing of texts in biology. Our main proposal is the use of terminology (identication and analysis of terms) in order to reduce the complexity of the text to be parsed. Several other strategies are explored and finally combined among which text normalization, lexicon and morpho-guessing module extensions and grammar rules adaptation. We compare the parsing results before and after these adaptations.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.cs/0606118

Authors: Aubin, Sophie, Nazarenko, Adeline, Nédellec, Claire

Institutions: Université Sorbonne Paris Nord, Laboratoire d'Informatique de Paris-Nord

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4299863034

Cites:

Cited by: 16

Related to: 10