Universal sentence encoder D Cer, Y Yang, S Kong, N Hua, N Limtiaco, RS John, N Constant, ... arXiv preprint arXiv:1803.11175, 2018 | 3230* | 2018 |
SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Crosslingual Focused Evaluation D Cer, M Diab, E Agirre, I Lopez-Gazpio, L Specia 11th International Workshop on Semantic Evaluation (SemEval-2017), 14, 2017 | 2008 | 2017 |
Semeval-2016 task 1: Semantic textual similarity, monolingual and cross-lingual evaluation E Agirre, C Banea, D Cer, M Diab, A Gonzalez Agirre, R Mihalcea, ... SemEval-2016. 10th International Workshop on Semantic Evaluation; 2016 Jun …, 2016 | 1309 | 2016 |
SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability E Agirre, C Banea, C Cardie, D Cer, M Diab, A Gonzalez-Agirre, W Guo, ... Proceedings of the 9th International Workshop on Semantic Evaluation …, 2015 | 937* | 2015 |
Bilingual word embeddings for phrase-based machine translation WY Zou, R Socher, D Cer, CD Manning Proceedings of the 2013 conference on empirical methods in natural language …, 2013 | 794 | 2013 |
Language-agnostic BERT sentence embedding F Feng, Y Yang, D Cer, N Arivazhagan, W Wang arXiv preprint arXiv:2007.01852, 2020 | 776 | 2020 |
Semeval-2014 task 10: Multilingual semantic textual similarity E Agirre, C Banea, C Cardie, D Cer, M Diab, A Gonzalez-Agirre, W Guo, ... Proceedings of the 8th international workshop on semantic evaluation …, 2014 | 634 | 2014 |
Multilingual universal sentence encoder for semantic retrieval Y Yang, D Cer, A Ahmad, M Guo, J Law, N Constant, GH Abrego, S Yuan, ... arXiv preprint arXiv:1907.04307, 2019 | 502 | 2019 |
Sentence-t5: Scalable sentence encoders from pre-trained text-to-text models J Ni, GH Abrego, N Constant, J Ma, KB Hall, D Cer, Y Yang arXiv preprint arXiv:2108.08877, 2021 | 321 | 2021 |
Gemma: Open models based on gemini research and technology G Team, T Mesnard, C Hardin, R Dadashi, S Bhupatiraju, S Pathak, ... arXiv preprint arXiv:2403.08295, 2024 | 229 | 2024 |
Spot: Better frozen model adaptation through soft prompt transfer T Vu, B Lester, N Constant, R Al-Rfou, D Cer arXiv preprint arXiv:2110.07904, 2021 | 223 | 2021 |
Parsing to Stanford Dependencies: Trade-offs between Speed and Accuracy. DM Cer, MC De Marneffe, D Jurafsky, CD Manning LREC, 2010 | 208 | 2010 |
Learning semantic textual similarity from conversations Y Yang, S Yuan, D Cer, S Kong, N Constant, P Pilar, H Ge, YH Sung, ... arXiv preprint arXiv:1804.07754, 2018 | 178 | 2018 |
Learning to recognize features of valid textual entailments B MacCartney, T Grenager, MC De Marneffe, D Cer, CD Manning Proceedings of the Human Language Technology Conference of the NAACL, Main …, 2006 | 172 | 2006 |
Learning cross-lingual sentence representations via a multi-task dual-encoder model M Chidambaram, Y Yang, D Cer, S Yuan, YH Sung, B Strope, R Kurzweil arXiv preprint arXiv:1810.12836, 2018 | 161 | 2018 |
Learning Alignments and Leveraging Natural Logic N Chambers, D Cer, T Grenager, D Hall, C Kiddon, B MacCartney, ... ACL-PASCAL Workshop on Textual Entailment and Paraphrasing, 165-170, 2007 | 132 | 2007 |
Effective parallel corpus mining using bilingual sentence embeddings M Guo, Q Shen, Y Yang, H Ge, D Cer, GH Abrego, K Stevens, N Constant, ... arXiv preprint arXiv:1807.11906, 2018 | 119 | 2018 |
Improving multilingual sentence embedding using bi-directional dual encoder with additive margin softmax Y Yang, GH Abrego, S Yuan, M Guo, Q Shen, D Cer, YH Sung, B Strope, ... arXiv preprint arXiv:1902.08564, 2019 | 114 | 2019 |
Semeval-2015 task 8: Spaceeval J Pustejovsky, P Kordjamshidi, MF Moens, A Levine, S Dworman, ... Proceedings of the 9th International Workshop on Semantic Evaluation …, 2015 | 75 | 2015 |
Phrasal: A statistical machine translation toolkit for exploring new model features D Cer, M Galley, D Jurafsky, CD Manning Proceedings of the NAACL HLT 2010 Demonstration Session, 9-12, 2010 | 74* | 2010 |