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个人简介
A professor of computer science, Eisner is affiliated with the Center for Language and Speech Processing and the Human Language Technology Center of Excellence, and leads JHU’s cross-departmental machine learning group. His goal is to develop the probabilistic modeling, inference, and learning techniques needed for a unified model of all kinds of linguistic structure. Eisner has written more than 100 papers in several areas of computational linguistics, especially parsing, grammar induction, machine translation, computational phonology, computational morphology, and weighted finite-state methods. He is also the lead designer of Dyna, a new declarative programming language that provides an infrastructure for AI research.
研究兴趣
论文共 218 篇作者统计合作学者相似作者
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arXiv (Cornell University) (2023): 5126-5152
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TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (2023): 960-973
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CoRR (2023)
CoRR (2023)
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