In this paper, we demonstrate three NLP applications of the BioLexicon, which is a lexical resource tailored to the biology domain. The applications consist of a dictionary-based POS tagger, a syntactic parser, and query processing for biomedical information retrieval. Biological terminology is a major barrier to the accurate processing of literature within biology domain. In order to address this problem, we have constructed the BioLexicon using both manual and semi-automatic methods. We demonstrate the utility of the biology-oriented lexicon within three separate NLP applications.
The BOOTStrep BioLexicon is a large-scale lexical resource developed to address Text Mining requirem...
This paper presents the results of a terminological work on a reference corpus in the domain of Biom...
WordNet is currently the most widely used lexicon resource for general English language. We here arg...
Natural language processing technologies have advanced remarkably in the past two decades. However, ...
Abstract Background Due to the rapidly expanding body of biomedical literature, biologists require i...
The BioLexicon is a publicly available large-scale terminological resource which brings together pot...
This paper describes the design, implementation and population of a lexical resource for biology and...
This paper explores the use of the resources in the National Library of Medicine's Unified Medical L...
This paper describes the design, implementation and population of a lexical resource for biology and...
The talk will focus on building a biolexicon by leveraging existing bio-resources, combining them wi...
This paper describes the design, implementation and population of the BioLexicon in the framework of...
Motivation: The sheer volume of textually described biomedical knowledge exerts the need for natural...
The terminology used in biomedicine has lexical characteristics that have required the elaboration o...
The terminology used in biomedicine has lexical characteristics that have required the elaboration o...
This paper describes the design, implementation and population of a lexical resource for biology and...
The BOOTStrep BioLexicon is a large-scale lexical resource developed to address Text Mining requirem...
This paper presents the results of a terminological work on a reference corpus in the domain of Biom...
WordNet is currently the most widely used lexicon resource for general English language. We here arg...
Natural language processing technologies have advanced remarkably in the past two decades. However, ...
Abstract Background Due to the rapidly expanding body of biomedical literature, biologists require i...
The BioLexicon is a publicly available large-scale terminological resource which brings together pot...
This paper describes the design, implementation and population of a lexical resource for biology and...
This paper explores the use of the resources in the National Library of Medicine's Unified Medical L...
This paper describes the design, implementation and population of a lexical resource for biology and...
The talk will focus on building a biolexicon by leveraging existing bio-resources, combining them wi...
This paper describes the design, implementation and population of the BioLexicon in the framework of...
Motivation: The sheer volume of textually described biomedical knowledge exerts the need for natural...
The terminology used in biomedicine has lexical characteristics that have required the elaboration o...
The terminology used in biomedicine has lexical characteristics that have required the elaboration o...
This paper describes the design, implementation and population of a lexical resource for biology and...
The BOOTStrep BioLexicon is a large-scale lexical resource developed to address Text Mining requirem...
This paper presents the results of a terminological work on a reference corpus in the domain of Biom...
WordNet is currently the most widely used lexicon resource for general English language. We here arg...