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20192025
most citedMulti-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations

3 citations · 9 across the 8 of their papers we have counts for

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cs.CL2024

FFSTC: Fongbe to French Speech Translation Corpus

D. Fortune Kponou, Frejus A. A. Laleye, Eugene C. Ezin

In this paper, we introduce the Fongbe to French Speech Translation Corpus (FFSTC) for the first time. This corpus encompasses approximately 31 hours of collected Fongbe language c…

cs.CL2023★ 2 cited

Leveraging Knowledge Graph Embeddings to Enhance Contextual Representations for Relation Extraction

Fréjus A. A. Laleye, Loïc Rakotoson, Sylvain Massip

Relation extraction task is a crucial and challenging aspect of Natural Language Processing. Several methods have surfaced as of late, exhibiting notable performance in addressing…

cs.CL2022★ 3 cited

Science Checker: Extractive-Boolean Question Answering For Scientific Fact Checking

Loïc Rakotoson, Charles Letaillieur, Sylvain Massip +1

With the explosive growth of scientific publications, making the synthesis of scientific knowledge and fact checking becomes an increasingly complex task. In this paper, we propose…

cs.CL2021

BagBERT: BERT-based bagging-stacking for multi-topic classification

Loïc Rakotoson, Charles Letaillieur, Sylvain Massip +1

This paper describes our submission on the COVID-19 literature annotation task at Biocreative VII. We proposed an approach that exploits the knowledge of the globally non-optimal w…

cs.CL2019

Semantic Similarity To Improve Question Understanding in a Virtual Patient

Fréjus A. A. Laleye, Antonia Blanié, Antoine Brouquet +2

In medicine, a communicating virtual patient or doctor allows students to train in medical diagnosis and develop skills to conduct a medical consultation. In this paper, we describ…