16 citations · 40 across the 6 of their papers we have counts for
6 papers
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…
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…
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…
Ontologies and Information Extraction
Claire Nédellec, Adeline Nazarenko
This report argues that, even in the simplest cases, IE is an ontology-driven process. It is not a mere text filtering method based on simple pattern matching and keywords, because…
Event-based Information Extraction for the biomedical domain: the Caderige project
Erick Alphonse, Sophie Aubin, Philippe Bessières +9
This paper gives an overview of the Caderige project. This project involves teams from different areas (biology, machine learning, natural language processing) in order to develop…
Adapting a general parser to a sublanguage
Sophie Aubin, Adeline Nazarenko, Claire Nédellec
In this paper, we propose a method to adapt a general parser (Link Parser) to sublanguages, focusing on the parsing of texts in biology. Our main proposal is the use of terminology…