基本信息
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职业迁徙
个人简介
I am interested in the development, improvement, and analysis of machine learning methods with a focus on systems that can automatically understand natural language, learn from multimodal interactions, and augment the capabilities of people.
My past work has examined a variety of areas — primarily personalization, contextually intelligent assistants, ensemble methods, calibrating classifiers, large-scale classification, search query classification and characterization, and redundancy and diversity, but also extending to transfer learning, machine translation, recommender systems, knowledge bases, and human computation and preferences. In addition to my research, I engage in a variety of professional service activities for the machine learning, data mining, and information retrieval communities.
My past work has examined a variety of areas — primarily personalization, contextually intelligent assistants, ensemble methods, calibrating classifiers, large-scale classification, search query classification and characterization, and redundancy and diversity, but also extending to transfer learning, machine translation, recommender systems, knowledge bases, and human computation and preferences. In addition to my research, I engage in a variety of professional service activities for the machine learning, data mining, and information retrieval communities.
研究兴趣
论文共 212 篇作者统计合作学者相似作者
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Springer eBookspp.39-69, (2023)
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Springer eBookspp.23-38, (2023)
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Springer eBookspp.169-187, (2023)
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Neural Approaches to Conversational Information RetrievalThe Information Retrieval Seriespp.189-192, (2023)
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The Springer international series on information retrieval (2023)
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Conference on Empirical Methods in Natural Language Processing (2023): 11445-11475
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Springer eBookspp.145-167, (2023)
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