Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 1246 | 2023 |
Retrofitting Word Vectors to Semantic Lexicons M Faruqui, J Dodge, SK Jauhar, C Dyer, E Hovy, NA Smith Proceedings of NAACL, 2015 | 1152 | 2015 |
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 945 | 2022 |
Improving Vector Space Word Representations Using Multilingual Correlation M Faruqui, C Dyer Proceedings of EACL, 2014 | 747 | 2014 |
Dynet: The dynamic neural network toolkit G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ... arXiv preprint arXiv:1701.03980, 2017 | 443* | 2017 |
Problems With Evaluation of Word Embeddings Using Word Similarity Tasks M Faruqui, Y Tsvetkov, P Rastogi, C Dyer First Workshop on Evaluating Vector Space Representations for NLP, 2016 | 384 | 2016 |
Totto: A controlled table-to-text generation dataset AP Parikh, X Wang, S Gehrmann, M Faruqui, B Dhingra, D Yang, D Das Proc. of EMNLP, 2020 | 328 | 2020 |
Sparse overcomplete word vector representations M Faruqui, Y Tsvetkov, D Yogatama, C Dyer, N Smith Proceedings of ACL, 2015 | 230 | 2015 |
Cross-lingual Models of Word Embeddings: An Empirical Comparison S Upadhyay, M Faruqui, C Dyer, D Roth Proc. of ACL, 2016 | 217 | 2016 |
Attention interpretability across nlp tasks S Vashishth, S Upadhyay, GS Tomar, M Faruqui arXiv preprint arXiv:1909.11218, 2019 | 204 | 2019 |
CoNLL-SIGMORPHON 2017 shared task: Universal morphological reinflection in 52 languages R Cotterell, C Kirov, J Sylak-Glassman, G Walther, E Vylomova, P Xia, ... arXiv preprint arXiv:1706.09031, 2017 | 196 | 2017 |
Evaluation of Word Vector Representations by Subspace Alignment Y Tsvetkov, M Faruqui, W Ling, G Lample, C Dyer Proc. of EMNLP, 2015 | 193 | 2015 |
Handling Divergent Reference Texts when Evaluating Table-to-Text Generation B Dhingra, M Faruqui, A Parikh, MW Chang, D Das, WW Cohen Proc. of ACL, 2019 | 186 | 2019 |
Training and Evaluating a German Named Entity Recognizer with Semantic Generalization M Faruqui, S Padó Proceedings of KONVENS, 2010 | 156 | 2010 |
Morphological Inflection Generation Using Character Sequence to Sequence Learning M Faruqui, Y Tsvetkov, G Neubig, C Dyer Proceedings of NAACL, 2016 | 155 | 2016 |
Community Evaluation and Exchange of Word Vectors at wordvectors.org M Faruqui, C Dyer ACL System Demonstrations, 2014 | 148 | 2014 |
UniMorph 2.0: universal morphology C Kirov, R Cotterell, J Sylak-Glassman, G Walther, E Vylomova, P Xia, ... arXiv preprint arXiv:1810.11101, 2018 | 144 | 2018 |
Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning Y Tsvetkov, M Faruqui, W Ling, C Dyer Proc. of ACL, 2016 | 102 | 2016 |
Multilingual Open Relation Extraction Using Cross-lingual Projection M Faruqui, S Kumar Proceedings of NAACL, 2015 | 102 | 2015 |
Non-distributional Word Vector Representations M Faruqui, C Dyer Proceedings of ACL, 2015 | 100 | 2015 |