基本信息
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Bio
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.
Research Interests
Papers共 42 篇Author StatisticsCo-AuthorSimilar Experts
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Conference of the European Chapter of the Association for Computational Linguistics (2024): 2146-2161
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CoRR (2024)
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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
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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)
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CoRR (2023): 14957-14972
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arXiv (Cornell University) (2023)
AfricaNLP (2023)
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CoRR (2023): 5077-5081
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Author Statistics
#Papers: 41
#Citation: 1698
H-Index: 9
G-Index: 41
Sociability: 7
Diversity: 0
Activity: 2
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