Els Lefever

Rigouts Terryn, Ayla, Véronique Hoste and Els Lefever 2022 Tagging terms in text: A supervised sequential labelling approach to automatic term extraction Terminology 28:1, pp. 157–189 | Article

As with many tasks in natural language processing, automatic term extraction (ATE) is increasingly approached as a machine learning problem. So far, most machine learning approaches to ATE broadly follow the traditional hybrid methodology, by first extracting a list of unique candidate terms,… read more

Rigouts Terryn, Ayla, Véronique Hoste and Els Lefever 2021 HAMLET: Hybrid Adaptable Machine Learning approach to Extract Terminology Terminology 27:2, pp. 254–293 | Article

Automatic term extraction (ATE) is an important task within natural language processing, both separately, and as a preprocessing step for other tasks. In recent years, research has moved far beyond the traditional hybrid approach where candidate terms are extracted based on part-of-speech… read more

Vandevoorde, Lore, Els Lefever, Koen Plevoets and Gert de Sutter 2017 A corpus-based study of semantic differences in translation: The case of inchoativity in Dutch Target 29:3, pp. 388–415 | Article

This paper presents a corpus-driven, statistical method for the visualization of semantic structure, thereby tackling the under-researched issue of semantics in corpus-based Translation Studies. We aim to investigate the influence of translation on the structure of semantic fields and in… read more

Lefever, Els and Véronique Hoste 2014 Parallel corpora make sense: Bypassing the knowledge acquisition bottleneck for Word Sense Disambiguation International Journal of Corpus Linguistics 19:3, pp. 333–367 | Article

We present a multilingual approach to Word Sense Disambiguation (WSD), which automatically assigns the contextually appropriate sense to a given word. Instead of using a predefined monolingual sense-inventory, we use a language-independent framework by deriving the senses of a given word from word… read more

Lefever, Els, Marjan Van de Kauter and Véronique Hoste 2014 HypoTerm: Detection of hypernym relations between domain-specific terms in Dutch and English Lexical semantic approaches to terminology, Faber, Pamela and Marie-Claude L'Homme (eds.), pp. 250–278 | Article

HypoTerm is a data-driven semantic relation finder that starts from a list of automatically extracted domain- and user-specific terms from technical corpora, and generates a list of relations between these terms. This research study focused on the detection of hypernym relations between relevant… read more

Macken, Lieve, Els Lefever and Véronique Hoste 2013 TExSIS: Bilingual terminology extraction from parallel corpora using chunk-based alignment Terminology 19:1, pp. 1–30 | Article

We report on TExSIS, a flexible bilingual terminology extraction system that uses a sophisticated chunk-based alignment method for the generation of candidate terms, after which the specificity of the candidate terms is determined by combining several statistical filters. Although the set-up of… read more

Hoste, Véronique, Klaar Vanopstal, Els Lefever and Isabelle Delaere 2010 Classification-based scientific term detection in patient information Terminology 16:1, pp. 1–29 | Article

Although intended for the “average layman”, both in terms of readability and contents, the current patient information still contains many scientific terms. Different studies have concluded that the use of scientific terminology is one of the factors, which greatly influences the readability of… read more

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