Seuraa
Daniel Cer
Daniel Cer
Research Scientist, Google Research
Vahvistettu sähköpostiosoite verkkotunnuksessa google.com - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Universal sentence encoder
D Cer, Y Yang, S Kong, N Hua, N Limtiaco, RS John, N Constant, ...
arXiv preprint arXiv:1803.11175, 2018
3176*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
19812017
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
12942016
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
931*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
7872013
Language-agnostic BERT sentence embedding
F Feng, Y Yang, D Cer, N Arivazhagan, W Wang
arXiv preprint arXiv:2007.01852, 2020
7442020
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
6282014
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
4922019
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
3152021
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
2202021
Parsing to Stanford Dependencies: Trade-offs between Speed and Accuracy.
DM Cer, MC De Marneffe, D Jurafsky, CD Manning
LREC, 2010
2082010
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
1772018
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
1712006
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
1572018
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
1452024
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
1312007
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
1162018
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
1142019
Universal sentence encoder. arXiv 2018
D Cer, Y Yang, SY Kong, N Hua, N Limtiaco, RS John, N Constant, ...
arXiv preprint arXiv:1803.11175, 1803
861803
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
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Artikkelit 1–20