Felix Hill
Felix Hill
Research Scientist, Deepmind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Simlex-999: Evaluating semantic models with (genuine) similarity estimation
F Hill, R Reichart, A Korhonen
Computational Linguistics 41 (4), 665-695, 2015
9382015
Glue: A multi-task benchmark and analysis platform for natural language understanding
A Wang, A Singh, J Michael, F Hill, O Levy, SR Bowman
arXiv preprint arXiv:1804.07461, 2018
8912018
The goldilocks principle: Reading children's books with explicit memory representations
F Hill, A Bordes, S Chopra, J Weston
arXiv preprint arXiv:1511.02301, 2015
4402015
The goldilocks principle: Reading children's books with explicit memory representations
F Hill, A Bordes, S Chopra, J Weston
arXiv preprint arXiv:1511.02301, 2015
4372015
Learning distributed representations of sentences from unlabelled data
F Hill, K Cho, A Korhonen
arXiv preprint arXiv:1602.03483, 2016
3852016
Superglue: A stickier benchmark for general-purpose language understanding systems
A Wang, Y Pruksachatkun, N Nangia, A Singh, J Michael, F Hill, O Levy, ...
Advances in Neural Information Processing Systems, 3266-3280, 2019
1842019
Simverb-3500: A large-scale evaluation set of verb similarity
D Gerz, I Vulić, F Hill, R Reichart, A Korhonen
arXiv preprint arXiv:1608.00869, 2016
1562016
Grounded language learning in a simulated 3d world
KM Hermann, F Hill, S Green, F Wang, R Faulkner, H Soyer, D Szepesvari, ...
arXiv preprint arXiv:1706.06551, 2017
134*2017
Specializing word embeddings for similarity or relatedness
D Kiela, F Hill, S Clark
Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015
1292015
Learning to understand phrases by embedding the dictionary
F Hill, KH Cho, A Korhonen, Y Bengio
Transactions of the Association for Computational Linguistics 4, 17-30, 2016
1172016
Measuring abstract reasoning in neural networks
A Santoro, F Hill, D Barrett, A Morcos, T Lillicrap
International Conference on Machine Learning, 4477-4486, 2018
82*2018
Neural arithmetic logic units
A Trask, F Hill, SE Reed, J Rae, C Dyer, P Blunsom
Advances in Neural Information Processing Systems, 8035-8044, 2018
822018
Learning abstract concept embeddings from multi-modal data: Since you probably can’t see what I mean
F Hill, A Korhonen
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
752014
Improving multi-modal representations using image dispersion: Why less is sometimes more
D Kiela, F Hill, A Korhonen, S Clark
Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014
732014
Hyperlex: A large-scale evaluation of graded lexical entailment
I Vulić, D Gerz, D Kiela, F Hill, A Korhonen
Computational Linguistics 43 (4), 781-835, 2017
652017
Learning to understand goal specifications by modelling reward
D Bahdanau, F Hill, J Leike, E Hughes, A Hosseini, P Kohli, ...
arXiv preprint arXiv:1806.01946, 2018
58*2018
Analysing mathematical reasoning abilities of neural models
D Saxton, E Grefenstette, F Hill, P Kohli
arXiv preprint arXiv:1904.01557, 2019
552019
The goldilocks principle
F Hill, A Bordes, S Chopra, J Weston
arXiv preprint arXiv:1511.02301, 2015
532015
Not all neural embeddings are born equal
F Hill, KH Cho, S Jean, C Devin, Y Bengio
arXiv preprint arXiv:1410.0718, 2014
482014
Embedding word similarity with neural machine translation
F Hill, K Cho, S Jean, C Devin, Y Bengio
arXiv preprint arXiv:1412.6448, 2014
452014
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