SubstanReview: the First Annotated Dataset for Analyzing Substantiation in Peer Reviews
Findings of Empirical Methods in Natural Language Processing (EMNLP)
Yanzhu Guo, Guokan Shang, #Virgile Rennard, Michalis Vazirgiannis, Chloé Clavel
Virgile RENNARD
NLP
After obtaining a Master’s degree from the Ecole polytechnique in Paris, Virgile Rennard joined LINAGORA in September 2021 as a research engineer and CIFRE PhD student, carrying out his doctorate in collaboration with LIX, the computer science department of the École Polytechnique in Paris. His research centers on deep learning for graphs and natural language processing, and his thesis combines both threads by tackling the topic of leveraging discourse graphs for abstractive meeting summarization.
Projects
Projects
2023
FREDSum: A Dialogue Summarization Corpus for French Political Debates
Findings of Empirical Methods in Natural Language Processing (EMNLP)
#Virgile Rennard, Guokan Shang, Damien Grari, #Julie Hunter, Michalis Vazirgiannis
Abstractive Meeting Summarization: A Survey
Transactions of the Association for Computational Linguistics (TACL)
#Virgile Rennard, Guokan Shang, #Julie Hunter, Michalis Vazirgiannis
2022
Political Communities on Twitter: Case Study of the 2022 French Presidential Election
PoliticalNLP, LREC 2022
Abdine Hadi, Guo Yanzhu, #Virgile Rennard, Vazirgiannis Michalis
