German Kruszewski
German Kruszewski
Facebook AI Research
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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
10902014
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
A Conneau, G Kruszewski, G Lample, L Barrault, M Baroni
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
1082018
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
682016
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
512016
Deriving boolean structures from distributional vectors
G Kruszewski, D Paperno, M Baroni
Transactions of the Association for Computational Linguistics 3, 375-388, 2015
262015
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
202016
Jointly optimizing word representations for lexical and sentential tasks with the C-PHRASE model
N Pham, G Kruszewski, A Lazaridou, M Baroni
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
172015
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
Memorize or generalize? searching for a compositional RNN in a haystack
A Liška, G Kruszewski, M Baroni
arXiv preprint arXiv:1802.06467, 2018
122018
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
122017
The emergence of number and syntax units in LSTM language models
Y Lakretz, G Kruszewski, T Desbordes, D Hupkes, S Dehaene, M Baroni
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
112019
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
112016
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
102014
Cooperative learning of disjoint syntax and semantics
S Havrylov, G Kruszewski, A Joulin
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
52019
Generation for grammar engineering
C Gardent, G Kruszewski
Proceedings of the Seventh International Natural Language Generation …, 2012
52012
Learning compositionally through attentive guidance
D Hupkes, A Singh, K Korrel, G Kruszewski, E Bruni
arXiv preprint arXiv:1805.09657, 2018
42018
The Fast and the Flexible: training neural networks to learn to follow instructions from small data
R Leonandya, E Bruni, D Hupkes, G Kruszewski
Proceedings of the 13th International Conference on Computational Semantics …, 2018
12018
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
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