Felix Hill
Felix Hill
Research Scientist, Deepmind
Verified email at cam.ac.uk - Homepage
TitleCited byYear
Simlex-999: Evaluating semantic models with (genuine) similarity estimation
F Hill, R Reichart, A Korhonen
Computational Linguistics 41 (4), 665-695, 2015
6232015
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
3102015
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
3082015
Learning distributed representations of sentences from unlabelled data
F Hill, K Cho, A Korhonen
arXiv preprint arXiv:1602.03483, 2016
2452016
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
1642018
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
962016
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
872015
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
79*2017
Learning to understand phrases by embedding the dictionary
F Hill, K Cho, A Korhonen, Y Bengio
Transactions of the Association for Computational Linguistics 4, 17-30, 2016
772016
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
632014
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
522014
Not all neural embeddings are born equal
F Hill, KH Cho, S Jean, C Devin, Y Bengio
arXiv preprint arXiv:1410.0718, 2014
402014
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
362017
Measuring abstract reasoning in neural networks
A Santoro, F Hill, D Barrett, A Morcos, T Lillicrap
International Conference on Machine Learning, 4477-4486, 2018
35*2018
Adaptive communication: Languages with more non-native speakers tend to have fewer word forms
C Bentz, A Verkerk, D Kiela, F Hill, P Buttery
PLoS One 10 (6), e0128254, 2015
35*2015
Embedding word similarity with neural machine translation
F Hill, K Cho, S Jean, C Devin, Y Bengio
arXiv preprint arXiv:1412.6448, 2014
322014
Zipf's law and the grammar of languages: A quantitative study of Old and Modern English parallel texts
C Bentz, D Kiela, F Hill, P Buttery
Corpus Linguistics and Linguistic Theory 10 (2), 175-211, 2014
302014
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
272018
Multi-modal models for concrete and abstract concept meaning
F Hill, R Reichart, A Korhonen
Transactions of the Association for Computational Linguistics 2, 285-296, 2014
262014
A quantitative empirical analysis of the abstract/concrete distinction
F Hill, A Korhonen, C Bentz
Cognitive science 38 (1), 162-177, 2014
252014
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