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Carolina Scarton
Carolina Scarton
Senior Lecturer in Natural Language Processing, NLP group / GATE group, University of Sheffield
在 sheffield.ac.uk 的电子邮件经过验证 - 首页
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Findings of the 2015 Workshop on Statistical Machine Translation
O Bojar, R Chatterjee, C Federmann, B Haddow, M Huck, C Hokamp, ...
Tenth Workshop on Statistical Machine Translation, 1-46, 2015
12322015
Findings of the 2016 conference on machine translation
O Bojar, R Chatterjee, C Federmann, Y Graham, B Haddow, M Huck, ...
Proceedings of the First Conference on Machine Translation: Volume 2, Shared …, 2016
7662016
Readability assessment for text simplification
S Aluisio, L Specia, C Gasperin, C Scarton
Proceedings of the NAACL HLT 2010 Fifth Workshop on Innovative Use of NLP …, 2010
1962010
Análise da Inteligibilidade de textos via ferramentas de Processamento de Língua Natural: adaptando as métricas do Coh-Metrix para o Português
CE Scarton, SM Aluísio
Linguamática 2 (1), 45-61, 2010
1592010
Multi-level translation quality prediction with quest++
L Specia, G Paetzold, C Scarton
Proceedings of ACL-IJCNLP 2015 System Demonstrations, 115-120, 2015
1462015
EASSE: Easier Automatic Sentence Simplification Evaluation
F Alva-Manchego, L Martin, C Scarton, L Specia
2019 Conference on Empirical Methods in Natural Language Processing and the …, 2019
1452019
Data-driven sentence simplification: Survey and benchmark
F Alva-Manchego, C Scarton, L Specia
Computational Linguistics 46 (1), 135-187, 2020
1442020
ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations
F Alva-Manchego, L Martin, A Bordes, C Scarton, B Sagot, L Specia
58th Annual Meeting of the Association for Computational Linguistics, 4668–4679, 2020
1382020
Quality estimation for machine translation
L Specia, C Scarton, GH Paetzold
Synthesis Lectures on Human Language Technologies 11 (1), 1-162, 2018
112*2018
Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis
JA Leite, DF Silva, K Bontcheva, C Scarton
The 1st Conference of the Asia-Pacific Chapter of the Association for …, 2020
972020
Learning Simplifications for Specific Target Audiences
C Scarton, L Specia
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
832018
Learning how to simplify from explicit labeling of complex-simplified text pairs
F Alva-Manchego, J Bingel, G Paetzold, C Scarton, L Specia
Proceedings of the Eighth International Joint Conference on Natural Language …, 2017
812017
The (Un) Suitability of Automatic Evaluation Metrics for Text Simplification
F Alva-Manchego, C Scarton, L Specia
Computational Linguistics 47 (4), 861-889, 2021
732021
Probing for idiomaticity in vector space models
M Garcia, TK Vieira, C Scarton, M Idiart, A Villavicencio
Proceedings of the 16th Conference of the European Chapter of the …, 2021
472021
SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding
HT Madabushi, E Gow-Smith, M Garcia, C Scarton, M Idiart, ...
arXiv preprint arXiv:2204.10050, 2022
422022
Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature
T Goldsack, Z Zhang, C Lin, C Scarton
arXiv preprint arXiv:2210.09932, 2022
402022
SIMPLIFICA: a tool for authoring simplified texts in Brazilian Portuguese guided by readability assessments
C Scarton, M Oliveira, A Candido Jr, C Gasperin, S Aluísio
Proceedings of the NAACL HLT 2010 Demonstration Session, 41-44, 2010
402010
AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models
HT Madabushi, E Gow-Smith, C Scarton, A Villavicencio
arXiv preprint arXiv:2109.04413, 2021
382021
Evaluating progression of alzheimer’s disease by regression and classification methods in a narrative language test in portuguese
S Aluísio, A Cunha, C Scarton
Computational Processing of the Portuguese Language: 12th International …, 2016
352016
MUSST: A Multilingual Syntactic Simplification Tool
C Scarton, AP Aprosio, S Tonelli, TM Wanton, L Specia
Proceedings of the IJCNLP 2017, System Demonstrations, 25-28, 2017
342017
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