基本信息
浏览量:14
职业迁徙
个人简介
Chris Emezue is a seasoned researcher committed to developing intelligent systems that can learn even in low-resource scenarios, and are reliable. His research areas are natural language processing, causality, and reinforcement learning. As a dedicated contributor to the field of AfricaNLP, he has worked on several key projects to improve the representation of low-resource African language technologies and datasets. Furthermore, as an entrepreneur, Chris is building Lanfrica, a startup that aims to accelerate the development of AI applications in under-represented regions.
研究兴趣
论文共 42 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Conference of the European Chapter of the Association for Computational Linguistics (2024): 2146-2161
引用0浏览0EI引用
0
0
CoRR (2024)
引用0浏览0EI引用
0
0
Chris Chinenye Emezue, Ifeoma Okoh,Chinedu Mbonu,Chiamaka Chukwuneke, Daisy Lal,Ignatius Ezeani,Paul Rayson, Ijemma Onwuzulike,Chukwuma Okeke, Gerald Nweya, Bright Ogbonna, Chukwuebuka Oraegbunam,
International Conference on Computational Linguistics (2024): 15932-15941
引用0浏览0EI引用
0
0
Angelina McMillan-Major,Francesco De Toni,Zaid Alyafeai,Stella Biderman, Kimbo Chen,Gérard Dupont,Hady Elsahar,Chris Emezue,Alham Fikri Aji,Suzana Ilić, Nurulaqilla Khamis, Colin Leong,
Northern European Journal of Language Technologyno. 1 (2024)
Khyathi Raghavi Chandu,David M. Howcroft,Dimitra Gkatzia, Yi-Ling Chung,Yufang Hou ,Chris Chinenye Emezue, Pawan Rajpoot,Tosin P. Adewumi
INLG (Generation Challenges)pp.1-9, (2023)
引用0浏览0EI引用
0
0
EMNLP 2023 (2023): 14957-14972
引用0浏览0EI引用
0
0
arXiv (Cornell University) (2023)
AfricaNLP (2023)
引用0浏览0EI引用
0
0
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn