Integration of Linguistic and Web Information to Improve Biomedical Terminology Extraction

Juan Antonio Lossio-Ventura 1, 2, * Clement Jonquet 2, 3 Mathieu Roche 4, 1 Maguelonne Teisseire 4, 1
* Corresponding author
1 ADVANSE - ADVanced Analytics for data SciencE
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
2 SMILE - Système Multi-agent, Interaction, Langage, Evolution
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Comprehensive terminology is essential for a community to describe, exchange, and retrieve data. In multiple domain, the explosion of text data produced has reached a level for which automatic terminology extraction and enrichment is mandatory. Automatic Term Extraction (or Recognition) methods use natural language processing to do so. Methods featuring linguistic and statistical aspects as often proposed in the literature, solve some problems related to term extraction as low frequency, complexity of the multi-word term extraction, human effort to validate candidate terms. In contrast, we present two new measures for extracting and ranking muli-word terms from domain-specific corpora, covering the all mentioned problems. In addition we demonstrate how the use of the Web to evaluate the significance of a multi-word term candidate, helps us to outperform precision results obtain on the biomedical GENIA corpus with previous reported measures such as C-value.
Complete list of metadatas

Cited literature [23 references]  Display  Hide  Download

https://hal-lirmm.ccsd.cnrs.fr/lirmm-01068547
Contributor : Juan Antonio Lossio Ventura <>
Submitted on : Tuesday, September 30, 2014 - 4:34:47 PM
Last modification on : Wednesday, September 18, 2019 - 4:04:04 PM
Long-term archiving on : Wednesday, December 31, 2014 - 11:15:31 AM

File

IDEAS2014.pdf
Files produced by the author(s)

Identifiers

Citation

Juan Antonio Lossio-Ventura, Clement Jonquet, Mathieu Roche, Maguelonne Teisseire. Integration of Linguistic and Web Information to Improve Biomedical Terminology Extraction. IDEAS: International Database Engineering & Applications Symposium, Jul 2014, Porto, Portugal. pp.265-269, ⟨10.1145/2628194.2628208⟩. ⟨lirmm-01068547v2⟩

Share

Metrics

Record views

708

Files downloads

566