Papers by Olivier Sauvage

1 papers
A French Corpus and Annotation Schema for Named Entity Recognition and Relation Extraction of Financial News (2020.lrec-1)

Copied to clipboard

Challenge: Strict regulatory regimes mandate financial institutions to rigorously monitor their customers' financial activities.
Approach: They propose to use an ontology of compliance-related concepts and relationships along with a corpus annotated according to it to train and evaluate named entity recognition algorithms.
Outcome: The proposed ontology allows for training and evaluating domain-specific named entity recognition and relation extraction algorithms.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations