activity
20092023
most citedAutomatic Summarization System coupled with a Question-Answering System (QAAS)

27 citations · 45 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2023★ 6 cited

Complex QA and language models hybrid architectures, Survey

Xavier Daull, Patrice Bellot, Emmanuel Bruno +2

This paper reviews the state-of-the-art of large language models (LLM) architectures and strategies for "complex" question-answering with a focus on hybrid architectures. LLM based…

cs.AI2022

GRAPHYP: A Scientific Knowledge Graph with Manifold Subnetworks of Communities. Detection of Scholarly Disputes in Adversarial Information Routes

Renaud Fabre, Otmane Azeroual, Patrice Bellot +2

The cognitive manifold of published content is currently expanding in all areas of science. However, Scientific Knowledge Graphs (SKGs) only provide poor pictures of the adversaria…

cs.IR2020★ 1 cited

Emotion and Sentiment Lexicon Impact on Sentiment Analysis Applied to Book Reviews

Patrice Bellot, Lerch Soëlie, Bruno Emmanuel +1

Consumers are used to consulting posted reviews on the Internet before buying a product. But it's difficult to know the global opinion considering the important number of those rev…

cs.IR2018★ 6 cited

A logical representation of Arabic questions toward automatic passage extraction from the Web

Patrice Bellot, Wided Bakari, Mahmoud Neji

With the expanding growth of Arabic electronic data on the web, extracting information, which is actually one of the major challenges of the question-answering, is essentially used…

cs.CL2017

A Preliminary Study for Building an Arabic Corpus of Pair Questions-Texts from the Web: AQA-Webcorp

Wided Bakari, Patrice Bellot, Mahmoud Neji

With the development of electronic media and the heterogeneity of Arabic data on the Web, the idea of building a clean corpus for certain applications of natural language processin…

cs.CL2016★ 3 cited

Supervised Term Weighting Metrics for Sentiment Analysis in Short Text

Hussam Hamdan, Patrice Bellot, Frederic Bechet

Term weighting metrics assign weights to terms in order to discriminate the important terms from the less crucial ones. Due to this characteristic, these metrics have attracted gro…