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个人简介
Francine’s research interests are in information access and machine learning, with a focus around developing methods for extracting, organizing and finding information in different types of media, including audio, imaged text, images, text, and video. She was a Member of Research Staff and Manager of the Quantitative Content Analysis area at PARC (formerly Xerox PARC).
Projects that Francine has worked on include mining social media and product reviews, smart document capture from a mobile phone, genre identification, audio privacy, topic analysis, keyword advertising, categorization, phrase spotting in imaged text, image retrieval, speech recognition, text segmentation, speaker segmentation, and summarization of video, text, imaged text, and conversations. Francine received her M.S. and Ph.D. from MIT EECS and B.S.E. from the University of Michigan.
研究兴趣
论文共 156 篇作者统计合作学者相似作者
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Annals of Mathematics and Artificial Intelligencepp.1-21, (2024)
Annals of Mathematics and Artificial Intelligencepp.1-1, (2024)
ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE (2024)
Francine Chen, Matthew K. Hong,Laurent Denoue,Kate Glazko,Emily Sarah Sumner,Yan-Ying Chen, Matthew Klenk
CHI Extended Abstractspp.1-7, (2023)
Nikos Arechiga,Francine Chen,Rumen Iliev,Emily Sumner,Scott Carter,Alex Filipowicz,Nayeli Bravo, Monica Van,Kate Glazko, Kalani Murakami,Laurent Denoue, Candice Hogan,
arxiv(2022)
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Proceedings of the Second Workshop on Domain Adaptation for NLP (2021): 245-254
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