Low Resource Nlp Professors in Global

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Anna Korhonen
University of Cambridge United Kingdom
low resource nlp
multilingual nlp
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Adam Laytin
Johns Hopkins University United States of America
low resource settings
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Usman Naseem
Macquarie University Australia
low resource language processing
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Sharla Rent
Duke University Singapore
low-resource settings
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Huteng Dai
University of Michigan United States of America
low-resource corpora
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Line Clemmensen
University of Copenhagen Denmark
low resource domains
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Visvesh Sathe
University of Washington United States of America
low power computing
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Karthikeyan Sundaresan
Georgia Institute of Technology United States of America
low power wireless networking
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Marieke Meelen
University of Cambridge United Kingdom
low-resource languages
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Mikko Lipasti
University of Wisconsin–Madison United States of America
low power computing
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Omar Anwar
University of Western Australia Australia
low power computing
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Meriem Beloucif
Uppsala University Sweden
low-resource languages
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Swarun Kumar
Carnegie Mellon University United States of America
low-power networks
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David Metcalf
London School of Economics and Political Science United Kingdom
low pay
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Taekwang Jang
ETH Zurich Switzerland
low power systems
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Bruce Quinton
Memorial University of Newfoundland Canada
low
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Sina Kheirkhah
University of British Columbia Canada
low
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Kent Stevens
Johns Hopkins University United States of America
resource-poor settings
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Sachita Shah
University of Washington United States of America
limited resource settings
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Mara Strungaru
University of Manchester United Kingdom
low energy computing
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Nanyun Peng
University of California Los Angeles United States of America
low-resource information extraction
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