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ORCIDCarolina Scarton
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- affiliation: University of Sheffield, Department of Computer Science
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2020 – today
- 2022
[c49]Sebastian T. Vincent, Loïc Barrault, Carolina Scarton:
Controlling Extra-Textual Attributes about Dialogue Participants: A Case Study of English-to-Polish Neural Machine Translation. EAMT 2022: 121-130- [c48]Sebastian T. Vincent, Loïc Barrault, Carolina Scarton:
Controlling Formality in Low-Resource NMT with Domain Adaptation and Re-Ranking: SLT-CDT-UoS at IWSLT2022. IWSLT@ACL 2022: 341-350 - [c47]Harish Tayyar Madabushi, Edward Gow-Smith, Marcos García, Carolina Scarton, Marco Idiart, Aline Villavicencio:
SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding. SemEval@NAACL 2022: 107-121 - [c46]Iknoor Singh, Yue Li, Melissa Thong, Carolina Scarton:
GateNLP-UShef at SemEval-2022 Task 8: Entity-Enriched Siamese Transformer for Multilingual News Article Similarity. SemEval@NAACL 2022: 1121-1128 - [e2]Helena Moniz, Lieve Macken, Andrew Rufener, Loïc Barrault, Marta R. Costa-jussà, Christophe Declercq, Maarit Koponen, Ellie Kemp, Spyridon Pilos, Mikel L. Forcada, Carolina Scarton, Joachim Van den Bogaert, Joke Daems, Arda Tezcan, Bram Vanroy, Margot Fonteyne:
Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, EAMT 2022, Ghent, Belgium, June 1-3, 2022. European Association for Machine Translation 2022, ISBN 9789464597622 [contents] - [e1]Vládia Pinheiro
, Pablo Gamallo, Raquel Amaro, Carolina Scarton, Fernando Batista, Diego Furtado Silva, Catarina Magro, Hugo Pinto:
Computational Processing of the Portuguese Language - 15th International Conference, PROPOR 2022, Fortaleza, Brazil, March 21-23, 2022, Proceedings. Lecture Notes in Computer Science 13208, Springer 2022, ISBN 978-3-030-98304-8 [contents] - [i18]Sidney Evaldo Leal, Magali Sanches Duran, Carolina Evaristo Scarton, Nathan Siegle Hartmann, Sandra Maria Aluísio:
NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguese. CoRR abs/2201.03445 (2022) - [i17]Edward Gow-Smith, Harish Tayyar Madabushi, Carolina Scarton, Aline Villavicencio:
Improving Tokenisation by Alternative Treatment of Spaces. CoRR abs/2204.04058 (2022) - [i16]Harish Tayyar Madabushi, Edward Gow-Smith, Marcos García, Carolina Scarton, Marco Idiart, Aline Villavicencio:
SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding. CoRR abs/2204.10050 (2022) - [i15]Sebastian T. Vincent, Loïc Barrault, Carolina Scarton:
Controlling Extra-Textual Attributes about Dialogue Participants - A Case Study of English-to-Polish Neural Machine Translation. CoRR abs/2205.04747 (2022) - [i14]Sebastian T. Vincent, Loïc Barrault, Carolina Scarton:
Controlling Formality in Low-Resource NMT with Domain Adaptation and Re-Ranking: SLT-CDT-UoS at IWSLT2022. CoRR abs/2205.05990 (2022) - [i13]Dylan Phelps, Xuan-Rui Fan, Edward Gow-Smith, Harish Tayyar Madabushi, Carolina Scarton, Aline Villavicencio:
Sample Efficient Approaches for Idiomaticity Detection. CoRR abs/2205.11306 (2022) - [i12]Iknoor Singh, Yue Li, Melissa Thong, Carolina Scarton:
GateNLP-UShef at SemEval-2022 Task 8: Entity-Enriched Siamese Transformer for Multilingual News Article Similarity. CoRR abs/2205.15812 (2022) - [i11]Yue Li, Carolina Scarton, Xingyi Song, Kalina Bontcheva:
Classifying COVID-19 vaccine narratives. CoRR abs/2207.08522 (2022) - 2021
- [j5]Fernando Alva-Manchego, Carolina Scarton, Lucia Specia:
The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification. Comput. Linguistics 47(4): 861-889 (2021) - [j4]Yelena Mejova, Marinella Petrocchi, Carolina Scarton:
Special Issue on Disinformation, Hoaxes and Propaganda within Online Social Networks and Media. Online Soc. Networks Media 23: 100132 (2021) - [c45]Marcos García, Tiago Kramer Vieira, Carolina Scarton, Marco Idiart, Aline Villavicencio:
Assessing the Representations of Idiomaticity in Vector Models with a Noun Compound Dataset Labeled at Type and Token Levels. ACL/IJCNLP (1) 2021: 2730-2741 - [c44]Marcos García, Tiago Kramer Vieira, Carolina Scarton, Marco Idiart, Aline Villavicencio:
Probing for idiomaticity in vector space models. EACL 2021: 3551-3564 - [c43]Harish Tayyar Madabushi, Edward Gow-Smith, Carolina Scarton, Aline Villavicencio:
AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models. EMNLP (Findings) 2021: 3464-3477 - [c42]Carolina Scarton, Yue Li:
Cross-lingual Rumour Stance Classification: a First Study with BERT and Machine Translation. TTO 2021: 50-59 - [i10]Iknoor Singh, Carolina Scarton, Kalina Bontcheva:
Multistage BiCross Encoder: Team GATE Entry for MLIA Multilingual Semantic Search Task 2. CoRR abs/2101.03013 (2021) - [i9]Ye Jiang, Xingyi Song, Carolina Scarton, Ahmet Aker, Kalina Bontcheva:
Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemic. CoRR abs/2106.11702 (2021) - [i8]Iknoor Singh, Kalina Bontcheva, Carolina Scarton:
The False COVID-19 Narratives That Keep Being Debunked: A Spatiotemporal Analysis. CoRR abs/2107.12303 (2021) - [i7]Harish Tayyar Madabushi, Edward Gow-Smith, Carolina Scarton, Aline Villavicencio:
AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models. CoRR abs/2109.04413 (2021) - 2020
- [j3]Fernando Alva-Manchego, Carolina Scarton, Lucia Specia:
Data-Driven Sentence Simplification: Survey and Benchmark. Comput. Linguistics 46(1): 135-187 (2020) - [j2]Carolina Scarton:
Horacio Saggion, Automatic Text Simplification. Synthesis lectures on human language technologies, April 2017. Nat. Lang. Eng. 26(4): 489-492 (2020) - [c41]Fernando Alva-Manchego, Louis Martin, Antoine Bordes, Carolina Scarton, Benoît Sagot, Lucia Specia:
ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations. ACL 2020: 4668-4679 - [c40]Carolina Scarton, Pranava Madhyastha, Lucia Specia:
Deciding When, How and for Whom to Simplify. ECAI 2020: 2172-2179 - [c39]João Augusto Leite, Diego F. Silva, Kalina Bontcheva, Carolina Scarton:
Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis. AACL/IJCNLP 2020: 914-924 - [c38]Carolina Scarton, Diego F. Silva, Kalina Bontcheva:
Measuring What Counts: The Case of Rumour Stance Classification. AACL/IJCNLP 2020: 925-932 - [c37]Roney L. S. Santos, Gabriela Wick-Pedro, Sidney Evaldo Leal, Oto A. Vale, Thiago A. S. Pardo, Kalina Bontcheva, Carolina Scarton:
Measuring the Impact of Readability Features in Fake News Detection. LREC 2020: 1404-1413 - [c36]Gabriela Wick-Pedro, Roney L. S. Santos, Oto A. Vale, Thiago A. S. Pardo, Kalina Bontcheva, Carolina Scarton:
Linguistic Analysis Model for Monitoring User Reaction on Satirical News for Brazilian Portuguese. PROPOR 2020: 313-320 - [i6]Fernando Alva-Manchego, Louis Martin, Antoine Bordes, Carolina Scarton, Benoît Sagot, Lucia Specia:
ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations. CoRR abs/2005.00481 (2020) - [i5]Carolina Scarton, Diego F. Silva, Kalina Bontcheva:
Measuring What Counts: The case of Rumour Stance Classification. CoRR abs/2010.04532 (2020) - [i4]João Augusto Leite, Diego F. Silva, Kalina Bontcheva, Carolina Scarton:
Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis. CoRR abs/2010.04543 (2020)
2010 – 2019
- 2019
- [c35]Fernando Alva-Manchego, Carolina Scarton, Lucia Specia:
Cross-Sentence Transformations in Text Simplification. WNLP@ACL 2019: 181-184 - [c34]Fernando Alva-Manchego, Louis Martin, Carolina Scarton, Lucia Specia:
EASSE: Easier Automatic Sentence Simplification Evaluation. EMNLP/IJCNLP (3) 2019: 49-54 - [c33]Carolina Scarton, Mikel L. Forcada, Miquel Esplà-Gomis, Lucia Specia:
Estimating post-editing effort: a study on human judgements, task-based and reference-based metrics of MT quality. IWSLT 2019 - [i3]Fernando Alva-Manchego, Louis Martin, Carolina Scarton, Lucia Specia:
EASSE: Easier Automatic Sentence Simplification Evaluation. CoRR abs/1908.04567 (2019) - [i2]Carolina Scarton, Mikel L. Forcada, Miquel Esplà-Gomis, Lucia Specia:
Estimating post-editing effort: a study on human judgements, task-based and reference-based metrics of MT quality. CoRR abs/1910.06204 (2019) - 2018
- [b2]Lucia Specia, Carolina Scarton, Gustavo Henrique Paetzold:
Quality Estimation for Machine Translation. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2018 - [c32]Carolina Scarton, Lucia Specia:
Learning Simplifications for Specific Target Audiences. ACL (2) 2018: 712-718 - [c31]Carolina Scarton, Gustavo Paetzold, Lucia Specia:
Text Simplification from Professionally Produced Corpora. LREC 2018 - [c30]Carolina Scarton, Gustavo Paetzold, Lucia Specia:
SimPA: A Sentence-Level Simplification Corpus for the Public Administration Domain. LREC 2018 - [c29]Mikel L. Forcada, Carolina Scarton, Lucia Specia, Barry Haddow, Alexandra Birch:
Exploring gap filling as a cheaper alternative to reading comprehension questionnaires when evaluating machine translation for gisting. WMT 2018: 192-203 - [c28]Chiraag Lala, Pranava Swaroop Madhyastha, Carolina Scarton, Lucia Specia:
Sheffield Submissions for WMT18 Multimodal Translation Shared Task. WMT (shared task) 2018: 624-631 - [c27]Julia Ive, Carolina Scarton, Frédéric Blain, Lucia Specia:
Sheffield Submissions for the WMT18 Quality Estimation Shared Task. WMT (shared task) 2018: 794-800 - [i1]Mikel L. Forcada, Carolina Scarton, Lucia Specia, Barry Haddow, Alexandra Birch:
Exploring Gap Filling as a Cheaper Alternative to Reading Comprehension Questionnaires when Evaluating Machine Translation for Gisting. CoRR abs/1809.00315 (2018) - 2017
- [c26]Yvette Graham, Qingsong Ma, Timothy Baldwin, Qun Liu, Carla Parra Escartín, Carolina Scarton:
Improving Evaluation of Document-level Machine Translation Quality Estimation. EACL (2) 2017: 356-361 - [c25]Carolina Scarton, Alessio Palmero Aprosio, Sara Tonelli, Tamara Martín-Wanton, Lucia Specia:
MUSST: A Multilingual Syntactic Simplification Tool. IJCNLP (System Demonstrations) 2017: 25-28 - [c24]Fernando Alva-Manchego, Joachim Bingel, Gustavo Paetzold, Carolina Scarton, Lucia Specia:
Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs. IJCNLP(1) 2017: 295-305 - [c23]Frédéric Blain, Carolina Scarton, Lucia Specia:
Bilexical Embeddings for Quality Estimation. WMT 2017: 545-550 - 2016
- [b1]Carolina Scarton:
Document-level machine translation quality estimation. University of Sheffield, UK, 2016 - [c22]Carolina Scarton, Gustavo Paetzold, Lucia Specia:
Quality Estimation for Language Output Applications. COLING (Tutorials) 2016: 14-17 - [c21]Carolina Scarton, Lucia Specia:
A Reading Comprehension Corpus for Machine Translation Evaluation. LREC 2016 - [c20]Sandra M. Aluísio, Andre Cunha, Carolina Scarton:
Evaluating Progression of Alzheimer's Disease by Regression and Classification Methods in a Narrative Language Test in Portuguese. PROPOR 2016: 109-114 - [c19]Liling Tan, Carolina Scarton, Lucia Specia, Josef van Genabith:
SAARSHEFF at SemEval-2016 Task 1: Semantic Textual Similarity with Machine Translation Evaluation Metrics and (eXtreme) Boosted Tree Ensembles. SemEval@NAACL-HLT 2016: 628-633 - [c18]Ondrej Bojar, Rajen Chatterjee, Christian Federmann, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno-Yepes, Philipp Koehn, Varvara Logacheva, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana L. Neves, Martin Popel, Matt Post, Raphael Rubino, Carolina Scarton, Lucia Specia, Marco Turchi, Karin Verspoor, Marcos Zampieri:
Findings of the 2016 Conference on Machine Translation. WMT 2016: 131-198 - [c17]Carolina Scarton, Daniel Beck, Kashif Shah, Karin Sim Smith, Lucia Specia:
Word embeddings and discourse information for Quality Estimation. WMT 2016: 831-837 - 2015
- [c16]Lucia Specia, Gustavo Paetzold, Carolina Scarton:
Multi-level Translation Quality Prediction with QuEst++. ACL (System Demonstrations) 2015: 115-120 - [c15]Carolina Scarton, Marcos Zampieri, Mihaela Vela, Josef van Genabith, Lucia Specia:
Searching for Context: a Study on Document-Level Labels for Translation Quality Estimation. EAMT 2015 - [c14]Carolina Scarton:
Discourse and Document-level Information for Evaluating Language Output Tasks. HLT-NAACL 2015: 118-125 - [c13]Liling Tan, Carolina Scarton, Lucia Specia, Josef van Genabith:
USAAR-SHEFFIELD: Semantic Textual Similarity with Deep Regression and Machine Translation Evaluation Metrics. SemEval@NAACL-HLT 2015: 85-89 - [c12]Ondrej Bojar, Rajen Chatterjee, Christian Federmann, Barry Haddow, Matthias Huck, Chris Hokamp, Philipp Koehn, Varvara Logacheva, Christof Monz, Matteo Negri, Matt Post, Carolina Scarton, Lucia Specia, Marco Turchi:
Findings of the 2015 Workshop on Statistical Machine Translation. WMT@EMNLP 2015: 1-46 - [c11]Carolina Scarton, Liling Tan, Lucia Specia:
USHEF and USAAR-USHEF participation in the WMT15 QE shared task. WMT@EMNLP 2015: 336-341 - 2014
- [c10]Carolina Scarton, Lin Sun, Karin Kipper Schuler, Magali Sanches Duran, Martha Palmer, Anna Korhonen:
Verb Clustering for Brazilian Portuguese. CICLing (1) 2014: 25-39 - [c9]Carolina Scarton, Lucia Specia:
Document-level translation quality estimation: exploring discourse and pseudo-references. EAMT 2014: 101-108 - [c8]Carolina Scarton, Magali Sanches Duran, Sandra Maria Aluísio:
Using Cross-Linguistic Knowledge to Build VerbNet-Style Lexicons: Results for a (Brazilian) Portuguese VerbNet. PROPOR 2014: 149-160 - [c7]Carolina Scarton, Lucia Specia:
Exploring Consensus in Machine Translation for Quality Estimation. WMT@ACL 2014: 342-347 - 2013
- [c6]Magali Sanches Duran, Carolina Evaristo Scarton, Sandra Maria Aluísio, Carlos Ramisch:
Identifying Pronominal Verbs: Towards Automatic Disambiguation of the Clitic 'se' in Portuguese. MWE@NAACL-HLT 2013: 93-100 - 2011
- [c5]Maria José Bocorny Finatto, Carolina Evaristo Scarton, Amanda Rocha, Sandra M. Aluísio:
Características do jornalismo popular: avaliação da inteligibilidade e auxílio à descrição do gênero (Characteristics of Popular News: the Evaluation of Intelligibility and Support to the Genre Description) [in Portuguese]. STIL 2011 - [c4]Bianca Franco Pasqualini, Carolina Evaristo Scarton, Maria José Bocorny Finatto:
Comparando Avaliações de Inteligibilidade Textual entre Originais e Traduções de Textos Literários (Comparing Textual Intelligibility Evaluations among Literary Source Texts and their Translations) [in Portuguese]. STIL 2011 - [c3]Carolina Evaristo Scarton:
VerbNet.Br: construção semiautomática de um léxico computacional de verbos para o português do Brasil (VerbNet.Br: semiautomatic construction of a computational verb lexicon for Brazilian Portuguese) [in Portuguese]. STIL 2011 - 2010
- [j1]Carolina Evaristo Scarton, Sandra Maria Aluísio:
Análise da Inteligibilidade de textos via ferramentas de Processamento de Língua Natural: adaptando as métricas do Coh-Metrix para o Português. Linguamática 2(1): 45-61 (2010) - [c2]Carolina Scarton, Caroline Gasperin, Sandra M. Aluísio:
Revisiting the Readability Assessment of Texts in Portuguese. IBERAMIA 2010: 306-315 - [c1]Carolina Scarton, Matheus de Oliveira, Arnaldo Cândido Júnior, Caroline Gasperin, Sandra M. Aluísio:
SIMPLIFICA: a tool for authoring simplified texts in Brazilian Portuguese guided by readability assessments. NAACL (Demos) 2010: 41-44
Coauthor Index
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