A Comprehensive Survey of Document-level Relation Extraction (2016-2023)

no code implementations • 28 Sep 2023 • Julien Delaunay, Hanh Thi Hong Tran, Carlos-Emiliano González-Gallardo, Georgeta Bordea, Nicolas Sidere, Antoine Doucet

Document-level relation extraction (DocRE) is an active area of research in natural language processing (NLP) concerned with identifying and extracting relationships between entities beyond sentence boundaries.

Document-level Relation Extraction Relation +1

The Recent Advances in Automatic Term Extraction: A survey

no code implementations • 17 Jan 2023 • Hanh Thi Hong Tran, Matej Martinc, Jaya Caporusso, Antoine Doucet, Senja Pollak

Automatic term extraction (ATE) is a Natural Language Processing (NLP) task that eases the effort of manually identifying terms from domain-specific corpora by providing a list of candidate terms.

Feature Engineering Information Retrieval +4

Ensembling Transformers for Cross-domain Automatic Term Extraction

no code implementations • 12 Dec 2022 • Hanh Thi Hong Tran, Matej Martinc, Andraz Pelicon, Antoine Doucet, Senja Pollak

Automatic term extraction plays an essential role in domain language understanding and several natural language processing downstream tasks.

Term Extraction