Pascal Coupet

According to our database, Pascal Coupet authored at least 4 papers between 2016 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

CORA: A Deep Active Learning Covid-19 Relevancy Algorithm to Identify Core Scientific Articles.

Zubair Afzal, Vikrant Yadav, Olga Fedorova, Vaishnavi Kandala, Janneke van de Loo, Saber A. Akhondi, Pascal Coupet, George Tsatsaronis

Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020

2018

OmniScience and Extensions - Lessons Learned from Designing a Multi-domain, Multi-use Case Knowledge Representation System.

Véronique Malaisé, Anke Otten, Pascal Coupet

Proceedings of the Knowledge Engineering and Knowledge Management, 2018

2017

Tagging Funding Agencies and Grants in Scientific Articles using Sequential Learning Models.

Subhradeep Kayal, Zubair Afzal, George Tsatsaronis, Sophia Katrenko, Pascal Coupet, Marius A. Doornenbal, Michelle Gregory

Proceedings of the BioNLP 2017, Vancouver, Canada, August 4, 2017, 2017

2016

Learning Domain Labels Using Conceptual Fingerprints: An In-Use Case Study in the Neurology Domain.

Zubair Afzal, George Tsatsaronis, Marius A. Doornenbal, Pascal Coupet, Michelle Gregory

Proceedings of the Knowledge Engineering and Knowledge Management, 2016