Zobrazeno 1 - 10
of 3 196
pro vyhledávání: '"Naomé, A."'
Autor:
Bayes, Edward, Azime, Israel Abebe, Alabi, Jesujoba O., Kgomo, Jonas, Eloundou, Tyna, Proehl, Elizabeth, Chen, Kai, Khadir, Imaan, Etori, Naome A., Muhammad, Shamsuddeen Hassan, Mpanza, Choice, Thete, Igneciah Pocia, Klakow, Dietrich, Adelani, David Ifeoluwa
Evaluations of Large Language Models (LLMs) on knowledge-intensive tasks and factual accuracy often focus on high-resource languages primarily because datasets for low-resource languages (LRLs) are scarce. In this paper, we present Uhura -- a new ben
Externí odkaz:
http://arxiv.org/abs/2412.00948
Autor:
Olatunji, Tobi, Nimo, Charles, Owodunni, Abraham, Abdullahi, Tassallah, Ayodele, Emmanuel, Sanni, Mardhiyah, Aka, Chinemelu, Omofoye, Folafunmi, Yuehgoh, Foutse, Faniran, Timothy, Dossou, Bonaventure F. P., Yekini, Moshood, Kemp, Jonas, Heller, Katherine, Omeke, Jude Chidubem, MD, Chidi Asuzu, Etori, Naome A., Ndiaye, Aimérou, Okoh, Ifeoma, Ocansey, Evans Doe, Kinara, Wendy, Best, Michael, Essa, Irfan, Moore, Stephen Edward, Fourie, Chris, Asiedu, Mercy Nyamewaa
Recent advancements in large language model(LLM) performance on medical multiple choice question (MCQ) benchmarks have stimulated interest from healthcare providers and patients globally. Particularly in low-and middle-income countries (LMICs) facing
Externí odkaz:
http://arxiv.org/abs/2411.15640
Autor:
Amol, Cynthia Jayne, Chimoto, Everlyn Asiko, Gesicho, Rose Delilah, Gitau, Antony M., Etori, Naome A., Kinyanjui, Caringtone, Ndung'u, Steven, Moruye, Lawrence, Ooko, Samson Otieno, Kitonga, Kavengi, Muhia, Brian, Gitau, Catherine, Ndolo, Antony, Wanzare, Lilian D. A., Kahira, Albert Njoroge, Tombe, Ronald
Kenya, known for its linguistic diversity, faces unique challenges and promising opportunities in advancing Natural Language Processing (NLP) technologies, particularly for its underrepresented indigenous languages. This survey provides a detailed as
Externí odkaz:
http://arxiv.org/abs/2410.09948
Autor:
Afonja, Tejumade, Olatunji, Tobi, Ogun, Sewade, Etori, Naome A., Owodunni, Abraham, Yekini, Moshood
Recent strides in automatic speech recognition (ASR) have accelerated their application in the medical domain where their performance on accented medical named entities (NE) such as drug names, diagnoses, and lab results, is largely unknown. We rigor
Externí odkaz:
http://arxiv.org/abs/2406.12387
Autor:
Ogun, Sewade, Owodunni, Abraham T., Olatunji, Tobi, Alese, Eniola, Oladimeji, Babatunde, Afonja, Tejumade, Olaleye, Kayode, Etori, Naome A., Adewumi, Tosin
Recent advances in speech synthesis have enabled many useful applications like audio directions in Google Maps, screen readers, and automated content generation on platforms like TikTok. However, these systems are mostly dominated by voices sourced f
Externí odkaz:
http://arxiv.org/abs/2406.11727
Autor:
Romero, David, Lyu, Chenyang, Wibowo, Haryo Akbarianto, Lynn, Teresa, Hamed, Injy, Kishore, Aditya Nanda, Mandal, Aishik, Dragonetti, Alina, Abzaliev, Artem, Tonja, Atnafu Lambebo, Balcha, Bontu Fufa, Whitehouse, Chenxi, Salamea, Christian, Velasco, Dan John, Adelani, David Ifeoluwa, Meur, David Le, Villa-Cueva, Emilio, Koto, Fajri, Farooqui, Fauzan, Belcavello, Frederico, Batnasan, Ganzorig, Vallejo, Gisela, Caulfield, Grainne, Ivetta, Guido, Song, Haiyue, Ademtew, Henok Biadglign, Maina, Hernán, Lovenia, Holy, Azime, Israel Abebe, Cruz, Jan Christian Blaise, Gala, Jay, Geng, Jiahui, Ortiz-Barajas, Jesus-German, Baek, Jinheon, Dunstan, Jocelyn, Alemany, Laura Alonso, Nagasinghe, Kumaranage Ravindu Yasas, Benotti, Luciana, D'Haro, Luis Fernando, Viridiano, Marcelo, Estecha-Garitagoitia, Marcos, Cabrera, Maria Camila Buitrago, Rodríguez-Cantelar, Mario, Jouitteau, Mélanie, Mihaylov, Mihail, Imam, Mohamed Fazli Mohamed, Adilazuarda, Muhammad Farid, Gochoo, Munkhjargal, Otgonbold, Munkh-Erdene, Etori, Naome, Niyomugisha, Olivier, Silva, Paula Mónica, Chitale, Pranjal, Dabre, Raj, Chevi, Rendi, Zhang, Ruochen, Diandaru, Ryandito, Cahyawijaya, Samuel, Góngora, Santiago, Jeong, Soyeong, Purkayastha, Sukannya, Kuribayashi, Tatsuki, Clifford, Teresa, Jayakumar, Thanmay, Torrent, Tiago Timponi, Ehsan, Toqeer, Araujo, Vladimir, Kementchedjhieva, Yova, Burzo, Zara, Lim, Zheng Wei, Yong, Zheng Xin, Ignat, Oana, Nwatu, Joan, Mihalcea, Rada, Solorio, Thamar, Aji, Alham Fikri
Visual Question Answering (VQA) is an important task in multimodal AI, and it is often used to test the ability of vision-language models to understand and reason on knowledge present in both visual and textual data. However, most of the current VQA
Externí odkaz:
http://arxiv.org/abs/2406.05967
Autor:
Robinson, Nathaniel R., Dabre, Raj, Shurtz, Ammon, Dent, Rasul, Onesi, Onenamiyi, Monroc, Claire Bizon, Grobol, Loïc, Muhammad, Hasan, Garg, Ashi, Etori, Naome A., Tiyyala, Vijay Murari, Samuel, Olanrewaju, Stutzman, Matthew Dean, Odoom, Bismarck Bamfo, Khudanpur, Sanjeev, Richardson, Stephen D., Murray, Kenton
A majority of language technologies are tailored for a small number of high-resource languages, while relatively many low-resource languages are neglected. One such group, Creole languages, have long been marginalized in academic study, though their
Externí odkaz:
http://arxiv.org/abs/2405.05376
The ability to read, understand and find important information from written text is a critical skill in our daily lives for our independence, comfort and safety. However, a significant part of our society is affected by partial vision impairment, whi
Externí odkaz:
http://arxiv.org/abs/2404.09254
Autor:
Turki, Houcemeddine, Etori, Naome A., Taieb, Mohamed Ali Hadj, Omotayo, Abdul-Hakeem, Emezue, Chris Chinenye, Aouicha, Mohamed Ben, Awokoya, Ayodele, Lawan, Falalu Ibrahim, Nixdorf, Doreen
This paper investigates the role of text categorization in streamlining stopword extraction in natural language processing (NLP), specifically focusing on nine African languages alongside French. By leveraging the MasakhaNEWS, African Stopwords Proje
Externí odkaz:
http://arxiv.org/abs/2401.13398
Autor:
Omotayo, Abdul-Hakeem, Mbilinyi, Ashery, Ismaila, Lukman, Turki, Houcemeddine, Abdien, Mahmoud, Gamal, Karim, Tondji, Idriss, Pimi, Yvan, Etori, Naome A., Matar, Marwa M., Broni-Bediako, Clifford, Oppong, Abigail, Gamal, Mai, Ehab, Eman, Dovonon, Gbetondji, Akinjobi, Zainab, Ajisafe, Daniel, Adegboro, Oluwabukola G., Siam, Mennatullah
Publikováno v:
JAIR 2024
Despite significant efforts to democratize artificial intelligence (AI), computer vision which is a sub-field of AI, still lags in Africa. A significant factor to this, is the limited access to computing resources, datasets, and collaborations. As a
Externí odkaz:
http://arxiv.org/abs/2401.11617