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Georgiana Dinu
Georgiana Dinu
Principal scientist, Amazon AWS
Verified email at amazon.com
Title
Cited by
Cited by
Year
Don’t count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors
M Baroni, G Dinu, G Kruszewski
Proceedings of Association for Computational Linguistics (ACL) 1, 2014
20152014
Improving zero-shot learning by mitigating the hubness problem
G Dinu, A Lazaridou, M Baroni
arXiv preprint arXiv:1412.6568, 2014
4382014
Hubness and pollution: Delving into cross-space mapping for zero-shot learning
A Lazaridou, G Dinu, M Baroni
Zong C, Strube M, editors. Proceedings of the 53rd Annual Meeting of the …, 2015
2482015
Learning morphology with morfette
G Chrupała, G Dinu, J Van Genabith
International Conference on Language Resources and Evaluation (LREC), 2008
1662008
Training neural machine translation to apply terminology constraints
G Dinu, P Mathur, M Federico, Y Al-Onaizan
arXiv preprint arXiv:1906.01105, 2019
1612019
Multi-step regression learning for compositional distributional semantics
E Grefenstette, G Dinu, YZ Zhang, M Sadrzadeh, M Baroni
International Conference on Computational Semantics (IWCS), 2013
1532013
Measuring distributional similarity in context
G Dinu, M Lapata
Proceedings of Empirical Methods in Natural Language Processing (EMNLP …, 2010
1532010
Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection
J Ni, G Dinu, R Florian
ACL, 2017
1452017
DISSECT: DIStributional SEmantics Composition Toolkit
G Dinu, NT Pham, M Baroni
Proceedings of the System Demonstrations of ACL, 2013
1012013
Findings of the IWSLT 2022 Evaluation Campaign.
A Anastasopoulos, L Barrault, L Bentivogli, MZ Boito, O Bojar, R Cattoni, ...
Proceedings of the 19th International Conference on Spoken Language …, 2022
892022
Evaluating robustness to input perturbations for neural machine translation
X Niu, P Mathur, G Dinu, Y Al-Onaizan
arXiv preprint arXiv:2005.00580, 2020
552020
Toward mention detection robustness with recurrent neural networks
TH Nguyen, A Sil, G Dinu, R Florian
arXiv preprint arXiv:1602.07749, 2016
482016
How to make words with vectors: Phrase generation in distributional semantics
G Dinu, M Baroni
Proceedings of the Association for Computational Linguistics (ACL 2014), 2014
462014
General estimation and evaluation of compositional distributional semantic models
G Dinu, NT Pham, M Baroni
ACL 2013 Workshop on Continuous Vector Space Models and their …, 2013
41*2013
Ranking paraphrases in context
S Thater, G Dinu, M Pinkal
ACL 2009 Workshop on Applied Textual Inference, 44-47, 2009
412009
Inference rules and their application to recognizing textual entailment
G Dinu, R Wang
European Chapter of the Association for Computational Linguistics (EACL …, 2009
402009
Nghia The Pham, and Marco Baroni. General estimation and evaluation of compositional distributional semantic models
G Dinu
Workshop on Continuous Vector Space Models and their Compositionality, Sofia …, 2013
32*2013
A relatedness benchmark to test the role of determiners in compositional distributional semantics.
R Bernardi, G Dinu, M Marelli, M Baroni
Proceedings of Association for Computational Linguistics ACL (2), 53-57, 2013
292013
Distilling multiple domains for neural machine translation
A Currey, P Mathur, G Dinu
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
252020
Picking buttercups and eating butter cups: spelling alternations, semantic relatedness and their consequences for compound processing
M Marelli, G Dinu, R Zamparelli, M Baroni
Applied Psycholinguistics, 2014
232014
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Articles 1–20