no code implementations • 21 Feb 2024 • Loïc Rakotoson, Sylvain Massip, Fréjus A. A. Laleye
We believe this bidirectional approach brings significant advancements in terms of transparency, logical thinking, and comprehensive understanding in the field of scientific information retrieval.
no code implementations • 7 Jun 2023 • Fréjus A. A. Laleye, Loïc Rakotoson, Sylvain Massip
Relation extraction task is a crucial and challenging aspect of Natural Language Processing.
1 code implementation • 26 Apr 2022 • Loïc Rakotoson, Charles Letaillieur, Sylvain Massip, Fréjus Laleye
With the explosive growth of scientific publications, making the synthesis of scientific knowledge and fact checking becomes an increasingly complex task.
no code implementations • 20 Apr 2022 • Qingyu Chen, Alexis Allot, Robert Leaman, Rezarta Islamaj Doğan, Jingcheng Du, Li Fang, Kai Wang, Shuo Xu, Yuefu Zhang, Parsa Bagherzadeh, Sabine Bergler, Aakash Bhatnagar, Nidhir Bhavsar, Yung-Chun Chang, Sheng-Jie Lin, Wentai Tang, Hongtong Zhang, Ilija Tavchioski, Senja Pollak, Shubo Tian, Jinfeng Zhang, Yulia Otmakhova, Antonio Jimeno Yepes, Hang Dong, Honghan Wu, Richard Dufour, Yanis Labrak, Niladri Chatterjee, Kushagri Tandon, Fréjus Laleye, Loïc Rakotoson, Emmanuele Chersoni, Jinghang Gu, Annemarie Friedrich, Subhash Chandra Pujari, Mariia Chizhikova, Naveen Sivadasan, Zhiyong Lu
To close the gap, we organized the BioCreative LitCovid track to call for a community effort to tackle automated topic annotation for COVID-19 literature.
1 code implementation • 10 Nov 2021 • Loïc Rakotoson, Charles Letaillieur, Sylvain Massip, Fréjus Laleye
This paper describes our submission on the COVID-19 literature annotation task at Biocreative VII.