Zobrazeno 1 - 10
of 778
pro vyhledávání: '"A Laleye"'
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 content, featuring both French transcriptions and corresponding Fongbe
Externí odkaz:
http://arxiv.org/abs/2403.05488
Publikováno v:
NTERNET 2024, The Sixteenth International Conference on Evolving Internet, volume 16, pages 6-11
Information retrieval is a rapidly evolving field. However it still faces significant limitations in the scientific and industrial vast amounts of information, such as semantic divergence and vocabulary gaps in sparse retrieval, low precision and lac
Externí odkaz:
http://arxiv.org/abs/2402.13897
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 the task; however, most of these approaches rely on vast amounts of da
Externí odkaz:
http://arxiv.org/abs/2306.04203
Autor:
Freddy Houéhanou Rodrigue Gnangnon, Alexis Parenté, Moufalilou Aboubakar, Yannick Kiki-migan, Terence Totah, Dansou Gaspard Gbessi, Josiane Angéline Tonato-Bagnan, Anatole Laleye, Pierre-Marie Preux, Justin Lewis Denakpo, Véronique Blanquet, Dismand Stephan Houinato
Publikováno v:
BMC Women's Health, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background In Benin, a country in West Africa, breast cancer is the leading cancer in women, both in terms of incidence and mortality. However, evidence on the mortality of breast cancer and its associated factors is lacking in this country.
Externí odkaz:
https://doaj.org/article/dfe841848aa34b20ad2ea10965613727
Autor:
Clement A. Meseko, Ismaila Shittu, Olayinka O. Asala, Adeyinka J. Adedeji, Tinuke A. Laleye, Ebere R. Agusi, Dorcas A. Gado, Kayode A. Olawuyi, Nicodemus Mkpuma, Chinyere Chinonyerem, Bitrus Inuwa, Nneka Chima, Ruth Akintola, Patrick Nyango, Hellen Luka, Judith Bakam, Rebecca Atai, Dennis Kabantiyok, Mark Samson, ThankGod Daniel, Joshua Oyetunde, Olajide A. Owolodun, David D. Lazarus, Emmanuel T. Obishakin, Pam D. Luka, Benshak J. Audu, Sunday Makama, Hussaini G. Ularamu, Yiltawe S. Wungak, James S. Ahmed, Reuben A. Ocholi, Maryam Muhammad
Publikováno v:
Onderstepoort Journal of Veterinary Research, Vol 91, Iss 2, Pp e1-e6 (2024)
The COVID-19 pandemic has caused the death of 7.1 million people worldwide as of 7 July 2024. In Nigeria, the first confirmed case was reported on 27 February 2020, subsequently followed by a nationwide spread of SARS-CoV-2 with morbidity and mortali
Externí odkaz:
https://doaj.org/article/f187c583925e4fbaaa127c54dd73f467
Publikováno v:
Frontiers in Pain Research, Vol 5 (2024)
BackgroundLimited knowledge exists on recognition and treatment of equine abdominal pain in low- and middle-income countries. This study aimed at finding indicators for recognizing abdominal pain, evaluating responses to clinical and behavioral chang
Externí odkaz:
https://doaj.org/article/835787666cdf481db16d0adf2e8118e7
Publikováno v:
Proceedings of the 1st International Workshop on Multimedia AI against Disinformation (2022)
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 a multi-task approach for verifying the scientific questions based on
Externí odkaz:
http://arxiv.org/abs/2204.12263
Autor:
Chen, Qingyu, Allot, Alexis, Leaman, Robert, Doğan, Rezarta Islamaj, Du, Jingcheng, Fang, Li, Wang, Kai, Xu, Shuo, Zhang, Yuefu, Bagherzadeh, Parsa, Bergler, Sabine, Bhatnagar, Aakash, Bhavsar, Nidhir, Chang, Yung-Chun, Lin, Sheng-Jie, Tang, Wentai, Zhang, Hongtong, Tavchioski, Ilija, Pollak, Senja, Tian, Shubo, Zhang, Jinfeng, Otmakhova, Yulia, Yepes, Antonio Jimeno, Dong, Hang, Wu, Honghan, Dufour, Richard, Labrak, Yanis, Chatterjee, Niladri, Tandon, Kushagri, Laleye, Fréjus, Rakotoson, Loïc, Chersoni, Emmanuele, Gu, Jinghang, Friedrich, Annemarie, Pujari, Subhash Chandra, Chizhikova, Mariia, Sivadasan, Naveen, Lu, Zhiyong
The COVID-19 pandemic has been severely impacting global society since December 2019. Massive research has been undertaken to understand the characteristics of the virus and design vaccines and drugs. The related findings have been reported in biomed
Externí odkaz:
http://arxiv.org/abs/2204.09781
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 weights, usually rejected, to build a rich representation of each label
Externí odkaz:
http://arxiv.org/abs/2111.05808
Autor:
Della Berhanu, Gadise Bekele, Hanna Melesse, Felagot Taddese, Patricia Owira, Griffins Manguro, Oluwatosin Laleye, Zubaida Farouk, Mobolanle Balogun, Anne Hyre, Samuel Mwaura, Osborn Koech Kiptoo, Valentino Muyundo Wabwile, Siraj Mohammed, Konjit Wolde, Dedefo Teno, Eberechukwu Chinedu Eke, Jennyfer Oluyemisi Don-Aki, Lisa Noguchi, Stephanie Suhowatsky, Elizabeth Doggett, Gayane Yenokyan, Alemayehu Worku
Publikováno v:
BMC Health Services Research, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Background A birth companion is a simple and low-cost intervention that can improve both maternal and newborn health outcomes. The evidence that birth companionship improves labor outcomes and experiences of care has been available for many
Externí odkaz:
https://doaj.org/article/48a26cab7ff3415994de1a3437416885