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Alan Ritter
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Much of human knowledge is encoded in text. Broadly I am interested in getting computers to better understand natural language. My research uses machine learning to extract knowledge from large heterogeneous corpora, such as the Web
Papers73 papers
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ACL, pp.5317-5331, (2020)
empirical methods in natural language processing, pp.4727-4734, (2020)
ACL, pp.4913-4926, (2020)
ACL, pp.191-207, (2020)
IEEE transactions on visualization and computer graphics, no. 6 (2019): 2181-2192
(2019)
North American Chapter of the Association for Computational Linguistics, (2019): 1380-1390
arXiv: Computation and Language, (2019)
Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User-generated Text, (2018)
EMNLP, (2018): 3970-3980
north american chapter of the association for computational linguistics, (2018): 97-106
Journal of Biomedical Informatics, (2017): 33-42
EMNLP, (2017): 1583-1592
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