Add to ORKGNatural language processing technologies have advanced remarkably in the past two decades. However, biological terminology is a frequent cause of analysis errors when processing literature written in the biology domain. The BOOTStrep BioLexicon is a linguistic resource tailored for the domain to cope with these problems. It contains the following types of entries: (1) a set of terminological verbs; (2) a set of derived forms of the terminological verbs; (3) general English words frequently used in the biology domain; (4) domain terms. This comprehensive coverage of biological terms makes the lexicon a unique linguistic resource within the domain. This paper focuses on the linguistic aspects of the lexicon
WordNet is currently the most widely used lexicon resource for general English language. We here arg...
WordNet is currently the most widely used lexicon resource for general English language. We here arg...
© The Author(s), 2012. This article is distributed under the terms of the Creative Commons Attribut...
The BioLexicon is a publicly available large-scale terminological resource which brings together pot...
The talk will focus on building a biolexicon by leveraging existing bio-resources, combining them wi...
In this paper, we demonstrate three NLP applications of the BioLexicon, which is a lexical resource ...
The BOOTStrep BioLexicon is a large-scale lexical resource developed to address Text Mining requirem...
Abstract Background Due to the rapidly expanding body of biomedical literature, biologists require i...
This paper describes the design, implementation and population of a lexical resource for biology and...
This paper describes the design, implementation and population of the BioLexicon in the framework of...
This paper presents the results of a terminological work on a reference corpus in the domain of Biom...
This paper describes the design, implementation and population of a lexical resource for biology and...
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...
AbstractBackgroundBiomedical natural language processing (NLP) applications that have access to deta...
WordNet is currently the most widely used lexicon resource for general English language. We here arg...
WordNet is currently the most widely used lexicon resource for general English language. We here arg...
© The Author(s), 2012. This article is distributed under the terms of the Creative Commons Attribut...
The BioLexicon is a publicly available large-scale terminological resource which brings together pot...
The talk will focus on building a biolexicon by leveraging existing bio-resources, combining them wi...
In this paper, we demonstrate three NLP applications of the BioLexicon, which is a lexical resource ...
The BOOTStrep BioLexicon is a large-scale lexical resource developed to address Text Mining requirem...
Abstract Background Due to the rapidly expanding body of biomedical literature, biologists require i...
This paper describes the design, implementation and population of a lexical resource for biology and...
This paper describes the design, implementation and population of the BioLexicon in the framework of...
This paper presents the results of a terminological work on a reference corpus in the domain of Biom...
This paper describes the design, implementation and population of a lexical resource for biology and...
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...
AbstractBackgroundBiomedical natural language processing (NLP) applications that have access to deta...
WordNet is currently the most widely used lexicon resource for general English language. We here arg...
WordNet is currently the most widely used lexicon resource for general English language. We here arg...
© The Author(s), 2012. This article is distributed under the terms of the Creative Commons Attribut...