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Edward Grefenstette
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My research draws on topics and methods from Machine Learning, Computational Linguistics (Natural Language Processing) and Quantum Information Theory (specifically the use of category theoretical frameworks). My main project presently involves developing, implementing and evaluating compositional vector-based models of natural language semantics. I am generally interested in theories of—and applications for—mathematical linguistics, natural language semantics, and empirical semantic knowledge discovery.
Papers57 papers
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ICLR 2021, (2021)
ICML, pp.6938-6949, (2020)
NIPS 2020, (2020)
international conference on machine learning, (2020)
national conference on artificial intelligence, (2020)
Küttler Heinrich,Nardelli Nantas, Lavril Thibaut, Selvatici Marco, Sivakumar Viswanath,Rocktäschel Tim,Grefenstette Edward
Bahdanau Dzmitry,Hill Felix,Leike Jan, Hughes Edward, Hosseini Arian,Kohli Pushmeet,Grefenstette Edward
ICLR, (2019)
Thomas Kipf,Yujia Li,Hanjun Dai, Vinicius Zambaldi,Alvaro Sanchez,Edward Grefenstette,Pushmeet Kohli,Peter Battaglia
international conference on machine learning, pp.3418-3428, (2019)
CVPR, pp.12260-12269, (2019)
ICLR, (2019)
arXiv: Learning, (2018)
arXiv: Artificial Intelligence, (2018)
Cited by9Bibtex
Thomas Kipf,Yujia Li,Hanjun Dai, Vinícius Flores Zambaldi,Edward Grefenstette,Pushmeet Kohli,Peter Battaglia
arXiv: Machine Learning, (2018)
Edward Grefenstette, Robert Stanforth,Brendan O'Donoghue, Jonathan Uesato,Grzegorz Swirszcz,Pushmeet Kohli
arXiv: Neural and Evolutionary Computing, (2018)
CIKM, pp.5-6, (2018)
IJCAI, pp.5598-5602, (2018)
ICLR, (2018)
Tomáš Kočiský, Jonathan Schwarz,Phil Blunsom,Chris Dyer,Karl Moritz Hermann, Gáabor Melis,Edward Grefenstette
Transactions of the Association for Computational Linguistics, (2018)
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