activity
20182024
most citedBuilding Large Lexicalized Ontologies from Text: a Use Case in Automatic Indexing of Biotechnology Patents

10 citations · 22 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024★ 1 cited

Taec: a Manually annotated text dataset for trait and phenotype extraction and entity linking in wheat breeding literature

Claire Nédellec, Clara Sauvion, Robert Bossy +2

Wheat varieties show a large diversity of traits and phenotypes. Linking them to genetic variability is essential for shorter and more efficient wheat breeding programs. Newly desi…

cs.CL2021★ 1 cited

Does constituency analysis enhance domain-specific pre-trained BERT models for relation extraction?

Anfu Tang, Louise Deléger, Robert Bossy +2

Recently many studies have been conducted on the topic of relation extraction. The DrugProt track at BioCreative VII provides a manually-annotated corpus for the purpose of the dev…

q-bio.OT2021

Global alignment for relation extraction in Microbiology

Anfu Tang, Claire Nédellec, Pierre Zweigenbaum +2

We investigate a method to extract relations from texts based on global alignment and syntactic information. Combined with SVM, this method is shown to have a performance comparabl…

cs.AI2020★ 10 cited

Building Large Lexicalized Ontologies from Text: a Use Case in Automatic Indexing of Biotechnology Patents

Claire Nédellec, Wiktoria Golik, Sophie Aubin +1

This paper presents a tool, TyDI, and methods experimented in the building of a termino-ontology, i.e. a lexicalized ontology aimed at fine-grained indexation for semantic search a…

q-bio.QM2018★ 10 cited

Text-mining and ontologies: new approaches to knowledge discovery of microbial diversity

Claire Nédellec, Robert Bossy, Estelle Chaix +1

Microbiology research has access to a very large amount of public information on the habitats of microorganisms. Many areas of microbiology research uses this information, primaril…