Handling Entity Normalization with no Annotated Corpus: Weakly Supervised Methods Based on Distributional Representation and Ontological Information

no code implementations • LREC 2020 • Arnaud Ferr{\'e}, Robert Bossy, Mouhamadou Ba, Louise Del{\'e}ger, Thomas Lavergne, Pierre Zweigenbaum, Claire N{\'e}dellec

We propose a new approach to address the scarcity of training data that extends the CONTES method by corpus selection, pre-processing and weak supervision strategies, which can yield high-performance results without any manually annotated examples.

BIG-bench Machine Learning Entity Linking

Combining rule-based and embedding-based approaches to normalize textual entities with an ontology

no code implementations • LREC 2018 • Arnaud Ferr{\'e}, Louise Del{\'e}ger, Pierre Zweigenbaum, Claire N{\'e}dellec

Entity Linking Word Embeddings

Representation of complex terms in a vector space structured by an ontology for a normalization task

no code implementations • WS 2017 • Arnaud Ferr{\'e}, Pierre Zweigenbaum, Claire N{\'e}dellec

The method generates continuous vector representations of complex terms in a semantic space structured by the ontology.

Normalisation de termes complexes par s\'emantique distributionnelle guid\'ee par une ontologie (Normalization of complex terms with distributional semantics guided by an ontology)

no code implementations • JEPTALNRECITAL 2017 • Arnaud Ferr{\'e}

Nous proposons dans cet article une m{\'e}thode semi-supervis{\'e}e originale pour la cr{\'e}ation de repr{\'e}sentations vectorielles pour des termes (complexes ou non) dans un espace s{\'e}mantique pertinent pour une t{\^a}che de normalisation de termes d{\'e}signant des entit{\'e}s dans un corpus.

Overview of the Bacteria Biotope Task at BioNLP Shared Task 2016

no code implementations • WS 2016 • Louise Del{\'e}ger, Robert Bossy, Estelle Chaix, Mouhamadou Ba, Arnaud Ferr{\'e}, Philippe Bessi{\`e}res, Claire N{\'e}dellec