no code implementations • TERM (LREC) 2022 • Ayla Rigouts Terryn, Veronique Hoste, Els Lefever
This contribution presents D-Terminer: an open access, online demo for monolingual and multilingual automatic term extraction from parallel corpora.
no code implementations • LREC 2020 • Ayla Rigouts Terryn, Veronique Hoste, Patrick Drouin, Els Lefever
The TermEval 2020 shared task provided a platform for researchers to work on automatic term extraction (ATE) with the same dataset: the Annotated Corpora for Term Extraction Research (ACTER).
no code implementations • RANLP 2019 • Ayla Rigouts Terryn, Patrick Drouin, Veronique Hoste, Els Lefever
Traditional approaches to automatic term extraction do not rely on machine learning (ML) and select the top n ranked candidate terms or candidate terms above a certain predefined cut-off point, based on a limited number of linguistic and statistical clues.