Daniel Cer
Titel
Zitiert von
Zitiert von
Jahr
Universal sentence encoder
D Cer, Y Yang, S Kong, N Hua, N Limtiaco, RS John, N Constant, ...
arXiv preprint arXiv:1803.11175, 2018
804*2018
Semeval-2012 task 6: A pilot on semantic textual similarity
E Agirre, D Cer, M Diab, A Gonzalez-Agirre
* SEM 2012: The First Joint Conference on Lexical and Computational …, 2012
5872012
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
5712013
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
4662017
* SEM 2013 shared task: Semantic textual similarity
E Agirre, D Cer, M Diab, A Gonzalez-Agirre, W Guo
Second joint conference on lexical and computational semantics (* SEM …, 2013
3432013
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
3032015
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
2972016
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
2842014
Parsing to Stanford Dependencies: Trade-offs between Speed and Accuracy.
DM Cer, MC De Marneffe, D Jurafsky, CD Manning
LREC, 2010
1782010
Learning to recognize features of valid textual entailments
B MacCartney, T Grenager, MC Marneffe, D Cer, CD Manning
STANFORD UNIV CA DEPT OF COMPUTER SCIENCE, 2006
1552006
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
912007
Learning semantic textual similarity from conversations
Y Yang, S Yuan, D Cer, SY Kong, N Constant, P Pilar, H Ge, YH Sung, ...
arXiv preprint arXiv:1804.07754, 2018
792018
Phrasal: A statistical machine translation toolkit for exploring new model features
D Cer, M Galley, D Jurafsky, CD Manning
69*2010
The best lexical metric for phrase-based statistical MT system optimization
D Cer, CD Manning, D Jurafsky
Human Language Technologies: The 2010 Annual Conference of the North …, 2010
662010
Learning to distinguish valid textual entailments
MC De Marneffe, B MacCartney, T Grenager, D Cer, A Rafferty, ...
Second Pascal RTE Challenge Workshop 62, 2006
632006
Regularization and search for minimum error rate training
D Cer, D Jurafsky, CD Manning
Proceedings of the Third Workshop on Statistical Machine Translation, 26-34, 2008
552008
Neural mechanisms of binding in the hippocampus and neocortex: insights from computational models.
DM Cer, RC O'Reilly
Handbook of Binding and Memory, 193-220, 2006
542006
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
512019
Measuring machine translation quality as semantic equivalence: A metric based on entailment features
S Padó, D Cer, M Galley, D Jurafsky, CD Manning
Machine Translation 23 (2-3), 181-193, 2009
502009
Fast and adaptive online training of feature-rich translation models
S Green, SI Wang, D Cer, CD Manning
Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013
482013
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