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个人简介
I am a final year Ph.D. student in Computer Science at Purdue University. I am working with Dan Goldwasser in the Purdue Natural Language Processing (NLP) group.
My research interests are connectionism inspired machine learning methods for natural language processing, more specifically, neural networks and probabilistic models. I am particularly interested in structural models that try to understand language as a structured cognitive representation.
Before I joined the CS department, I worked on Neural Networks (Adaptive Resonance Theory) and numerical optimization methods for Human-Computer Interaction (HCI), with Gregory Francis in Psychological Sciences at Purdue University, from where I obtained my master in psychology (Mathematical and Computational Cognitive Science concentrated). During that period, I received intensive quantitative and computational training, and also developped my interest in machine learning.
My research interests are connectionism inspired machine learning methods for natural language processing, more specifically, neural networks and probabilistic models. I am particularly interested in structural models that try to understand language as a structured cognitive representation.
Before I joined the CS department, I worked on Neural Networks (Adaptive Resonance Theory) and numerical optimization methods for Human-Computer Interaction (HCI), with Gregory Francis in Psychological Sciences at Purdue University, from where I obtained my master in psychology (Mathematical and Computational Cognitive Science concentrated). During that period, I received intensive quantitative and computational training, and also developped my interest in machine learning.
研究兴趣
论文共 16 篇作者统计合作学者相似作者
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International Conference on Computational Linguistics (2022): 1179-1192
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ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019) (2019): 5564-5574
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semanticscholar(2019)
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57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2019) (2019): 579-590
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