German Kruszewski
German Kruszewski
Facebook AI Research
Dirección de correo verificada de fb.com - Página principal
TítuloCitado porAño
Don’t count, predict! a systematic comparison of context-counting vs. context-predicting semantic vectors
M Baroni, G Dinu, G Kruszewski
Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014
10112014
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
A Conneau, G Kruszewski, G Lample, L Barrault, M Baroni
arXiv preprint arXiv:1805.01070, 2018
742018
How cosmopolitan are emojis?: Exploring emojis usage and meaning over different languages with distributional semantics
F Barbieri, G Kruszewski, F Ronzano, H Saggion
Proceedings of the 24th ACM international conference on Multimedia, 531-535, 2016
592016
The LAMBADA dataset: Word prediction requiring a broad discourse context
D Paperno, G Kruszewski, A Lazaridou, QN Pham, R Bernardi, S Pezzelle, ...
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
462016
Deriving boolean structures from distributional vectors
G Kruszewski, D Paperno, M Baroni
Transactions of the Association for Computational Linguistics 3, 375-388, 2015
242015
Generating grammar exercises
L Perez-Beltrachini, C Gardent, G Kruszewski
Proceedings of the Seventh Workshop on Building Educational Applications …, 2012
232012
Convolutional neural network language models
NQ Pham, G Kruszewski, G Boleda
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
162016
Jointly optimizing word representations for lexical and sentential tasks with the C-PHRASE model
N Pham, G Kruszewski, A Lazaridou, M Baroni
ACL 2015, 2015
16*2015
So similar and yet incompatible: Toward the automated identification of semantically compatible words
G Kruszewski, M Baroni
Proceedings of the 2015 Conference of the North American Chapter of the …, 2015
142015
CommAI: Evaluating the first steps towards a useful general AI
M Baroni, A Joulin, A Jabri, G Kruszewski, A Lazaridou, K Simonic, ...
arXiv preprint arXiv:1701.08954, 2017
92017
Dead parrots make bad pets: Exploring modifier effects in noun phrases
G Kruszewski, M Baroni
Proceedings of the third joint conference on Lexical and Computational …, 2014
92014
There is no logical negation here, but there are alternatives: modeling conversational negation with distributional semantics
G Kruszewski, D Paperno, R Bernardi, M Baroni
Computational Linguistics special issue: Formal Distributional Semantics, 2016
82016
Memorize or generalize? searching for a compositional RNN in a haystack
A Liška, G Kruszewski, M Baroni
arXiv preprint arXiv:1802.06467, 2018
72018
The emergence of number and syntax units in LSTM language models
Y Lakretz, G Kruszewski, T Desbordes, D Hupkes, S Dehaene, M Baroni
arXiv preprint arXiv:1903.07435, 2019
62019
Generation for grammar engineering
C Gardent, G Kruszewski
Proceedings of the Seventh International Natural Language Generation …, 2012
52012
Cooperative learning of disjoint syntax and semantics
S Havrylov, G Kruszewski, A Joulin
arXiv preprint arXiv:1902.09393, 2019
42019
Learning compositionally through attentive guidance
D Hupkes, A Singh, K Korrel, G Kruszewski, E Bruni
arXiv preprint arXiv:1805.09657, 2018
22018
The Fast and the Flexible: training neural networks to learn to follow instructions from small data
R Leonandya, E Bruni, D Hupkes, G Kruszewski
arXiv preprint arXiv:1809.06194, 2018
2018
Inference with Distributional Semantic Models
GD Kruszewski Martel
University of Trento, 2016
2016
Convolutional neural network language models
G Boleda, G Kruszewski
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
2016
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20