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 | 2054 | 2014 |
Improving zero-shot learning by mitigating the hubness problem G Dinu, A Lazaridou, M Baroni arXiv preprint arXiv:1412.6568, 2014 | 447 | 2014 |
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 | 254 | 2015 |
Learning morphology with morfette G Chrupała, G Dinu, J Van Genabith International Conference on Language Resources and Evaluation (LREC), 2008 | 167 | 2008 |
Training neural machine translation to apply terminology constraints G Dinu, P Mathur, M Federico, Y Al-Onaizan arXiv preprint arXiv:1906.01105, 2019 | 165 | 2019 |
Measuring distributional similarity in context G Dinu, M Lapata Proceedings of Empirical Methods in Natural Language Processing (EMNLP …, 2010 | 153 | 2010 |
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 | 151 | 2013 |
Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection J Ni, G Dinu, R Florian ACL, 2017 | 146 | 2017 |
DISSECT: DIStributional SEmantics Composition Toolkit G Dinu, NT Pham, M Baroni Proceedings of the System Demonstrations of ACL, 2013 | 102 | 2013 |
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 | 95 | 2022 |
Evaluating robustness to input perturbations for neural machine translation X Niu, P Mathur, G Dinu, Y Al-Onaizan arXiv preprint arXiv:2005.00580, 2020 | 58 | 2020 |
Toward mention detection robustness with recurrent neural networks TH Nguyen, A Sil, G Dinu, R Florian arXiv preprint arXiv:1602.07749, 2016 | 56 | 2016 |
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 | 46 | 2014 |
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 | 41 | 2009 |
Inference rules and their application to recognizing textual entailment G Dinu, R Wang European Chapter of the Association for Computational Linguistics (EACL …, 2009 | 41 | 2009 |
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 | 31* | 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 | 29 | 2013 |
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 | 26 | 2020 |
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 | 24 | 2014 |