Dr Carolina Scarton

BSc, MSc, PhD

Department of Computer Science

Academic Fellow

Outreach, Open Days and Headstart Officer

Member of the Natural Language Processing research group

c.scarton@sheffield.ac.uk
+44 114 222 1892

Regent Court (DCS)

Full contact details

Dr Carolina Scarton
Department of Computer Science
Regent Court (DCS)
211 Portobello
Sheffield
S1 4DP

Profile

Carolina Scarton is an Academic Fellow at the Department of Computer Science, University of Sheffield, UK. She is a member of the Natural Language Processing group and part of the GATE team.

Previously, she worked as a Research Associate for the WeVerify (from March 2019 to August 2019) and SIMPATICO (from July 2016 to February 2019) European projects.

Qualifications

In 2017, she was awarded a PhD degree in Computer Science from the University of Sheffield, under the supervision of Professor Lucia Specia. Her PhD was funded by the EXPERT project (a Marie Curie ITN network).

She also has a MSc and a BSc degree from the University of São Paulo, Brazil (awarded in 2013).

Her MSc supervisor was Dr. Sandra Aluísio and she was a member of the Interinstitutional Center for Computational Linguistics (NILC). Since 2018, she is the Secretary for the European Association for Machine Translation (EAMT).

Research interests: Dr Scarton's research area is Natural Language Processing (NLP). She is particularly interested in text adaptation, machine translation, online misinformation detection and verification, evaluation of NLP task outputs, NLP applied to healthcare and robotics, and dialog systems.

Publications

Books

Specia L, Scarton C & Paetzold GH (2018) Quality Estimation for Machine Translation. Morgan & Claypool Publishers LLC.

Journal articles

Alva-Manchego F, Scarton C & Specia L (2020) Data-driven sentence simplification: Survey and benchmark. Computational Linguistics, 135-187. View this article in WRRO
Scarton C (2020) Horacio Saggion, Automatic Text Simplification. Synthesis lectures on human language technologies, April 2017.. Nat. Lang. Eng., 26, 489-492.
Toledo CM, Cunha A, Scarton C & Aluísio S (2014) Automatic classification of written descriptions by healthy adults: An overview of the application of natural language processing and machine learning techniques to clinical discourse analysis. Dementia & Neuropsychologia, 8(3), 227-235. View this article in WRRO
Scarton C & Specia L () A Quantitative Analysis of Discourse Phenomena in Machine Translation. Discours(16).
Leite JA, Silva DF, Bontcheva K & Scarton C () Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis.
Scarton C, Silva DF & Bontcheva K () Measuring What Counts: The case of Rumour Stance Classification.

Book reviews

Scarton C (2019) Horacio Saggion, automatic text simplification. Synthesis lectures on human language technologies, April 2017. 137 pages, ISBN:1627058680 9781627058681. Natural Language Engineering. View this article in WRRO

Conference proceedings papers

Santos RLS, Wick-Pedro G, Leal S, Vale OA, Pardo TAS, Bontcheva K & Scarton C (2020) Measuring the Impact of Readability Features in Fake News Detection.. LREC (pp 1404-1413)
Alva-Manchego FE, Martin L, Bordes A, Scarton C, Sagot B & Specia L (2020) ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations.. ACL (pp 4668-4679)
Wick-Pedro G, Santos RLS, Vale OA, Pardo TAS, Bontcheva K & Scarton C (2020) Linguistic Analysis Model for Monitoring User Reaction on Satirical News for Brazilian Portuguese (pp 313-320)
Scarton C, Madhyastha P & Specia L (2020) Deciding When, How and for Whom to Simplify.. ECAI, Vol. 325 (pp 2172-2179)
Leite JA, Silva DF, Bontcheva K & Scarton C (2020) Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis.. AACL/IJCNLP (pp 914-924)
Scarton C, Silva DF & Bontcheva K (2020) Measuring What Counts: The Case of Rumour Stance Classification.. AACL/IJCNLP (pp 925-932)
Alva-Manchego F, Martin L, Bordes A, Scarton C, Sagot B & Specia L (2020) ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, July 2020 - July 2020. View this article in WRRO
Alva-Manchego F, Martin L, Scarton C & Specia L (2019) EASSE: easier automatic sentence simplification evaluation. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations (pp 49-54). Hong Kong, China, 3 November 2019 - 7 November 2019. View this article in WRRO
Alva-Manchego FE, Scarton C & Specia L (2019) Cross-Sentence Transformations in Text Simplification.. WNLP@ACL (pp 181-184)
Scarton C, Paetzold GH & Specia L (2019) Text simplification from professionally produced corpora. LREC 2018 - 11th International Conference on Language Resources and Evaluation (pp 3504-3510)
Scarton C, Henrique Paetzold G & Specia L (2019) Simpa: A sentence-level simplification corpus for the public administration domain. LREC 2018 - 11th International Conference on Language Resources and Evaluation (pp 4333-4338)
Forcada ML, Scarton C, Specia L, Haddow B & Birch A (2018) Exploring Gap Filling as a Cheaper Alternative to Reading Comprehension Questionnaires when Evaluating Machine Translation for Gisting. Proceedings of the Third Conference on Machine Translation, Vol. 1 (pp 192-203), 31 October 2018 - 1 November 2018. View this article in WRRO
Forcada ML, Scarton C, Specia L, Haddow B & Birch A (2018) Exploring gap filling as a cheaper alternative to reading comprehension questionnaires when evaluating machine translation for gisting. Proceedings of the Third Conference on Machine Translation: Research Papers, October 2018 - October 2018.
Lala C, Madhyastha PS, Scarton C & Specia L (2018) Sheffield Submissions for WMT18 Multimodal Translation Shared Task. Proceedings of the Third Conference on Machine Translation: Shared Task Papers, October 2018 - October 2018.
Ive J, Scarton C, Blain F & Specia L (2018) Sheffield Submissions for the WMT18 Quality Estimation Shared Task. Proceedings of the Third Conference on Machine Translation: Shared Task Papers, October 2018 - October 2018.
Scarton C & Specia L (2018) Learning Simplifications for Specific Target Audiences. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), July 2018 - July 2018.
Blain F, Scarton C & Specia L (2017) Bilexical Embeddings for Quality Estimation. Proceedings of the Second Conference on Machine Translation, September 2017 - September 2017.
Alva-Manchego FE, Bingel J, Paetzold G, Scarton C & Specia L (2017) Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs.. IJCNLP(1) (pp 295-305)
Scarton C, Aprosio AP, Tonelli S, Martín-Wanton T & Specia L (2017) MUSST: A Multilingual Syntactic Simplification Tool.. IJCNLP (System Demonstrations) (pp 25-28)
Graham Y, Ma Q, Baldwin T, Liu Q, Parra C & Scarton C (2017) Improving Evaluation of Document-level Machine Translation Quality Estimation. Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, April 2017 - April 2017.
Bojar O, Chatterjee R, Federmann C, Graham Y, Haddow B, Huck M, Jimeno Yepes A, Koehn P, Logacheva V, Monz C , Negri M et al (2016) Findings of the 2016 Conference on Machine Translation. Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers, August 2016 - August 2016.
Scarton C, Paetzold GH & Specia L (2016) Quality estimation for language output applications. COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Tutorial Abstracts (pp 14-17)
Scarton C & Specia L (2016) A reading comprehension corpus for machine translation evaluation. Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016 (pp 3652-3658)
Scarton C, Beck D, Shah K, Sim Smith K & Specia L (2016) Word embeddings and discourse information for Quality Estimation. Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers, August 2016 - August 2016.
Tan L, Scarton C, Specia L & van Genabith J (2016) SAARSHEFF at SemEval-2016 Task 1: Semantic Textual Similarity with Machine Translation Evaluation Metrics and (eXtreme) Boosted Tree Ensembles. Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), June 2016 - June 2016.
Aluísio S, Cunha A & Scarton C (2016) Evaluating Progression of Alzheimer’s Disease by Regression and Classification Methods in a Narrative Language Test in Portuguese (pp 109-114)
Specia L, Paetzold G & Scarton C (2015) Multi-level Translation Quality Prediction with QuEst++. Proceedings of ACL-IJCNLP 2015 System Demonstrations, July 2015 - July 2015.
Scarton C, Zampieri M, Vela M, van Genabith J & Specia L (2015) Searching for context: A study on document-level labels for translation quality estimation. EAMT 2015 - Proceedings of the 18th Annual Conference of the European Association for Machine Translation (pp 121-128)
Scarton C, Tan L & Specia L (2015) USHEF and USAAR-USHEF participation in the WMT15 QE shared task. Proceedings of the Tenth Workshop on Statistical Machine Translation, September 2015 - September 2015.
Tan L, Scarton C, Specia L & van Genabith J (2015) USAAR-SHEFFIELD: Semantic Textual Similarity with Deep Regression and Machine Translation Evaluation Metrics. Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), June 2015 - June 2015.
Scarton C (2015) Discourse and Document-level Information for Evaluating Language Output Tasks. Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop, June 2015 - June 2015.
Bojar O, Chatterjee R, Federmann C, Haddow B, Huck M, Hokamp C, Koehn P, Logacheva V, Monz C, Negri M , Post M et al (2015) Findings of the 2015 Workshop on Statistical Machine Translation. Proceedings of the Tenth Workshop on Statistical Machine Translation, September 2015 - September 2015.
Scarton C, Sanches Duran M & Aluísio SM (2014) Using Cross-Linguistic Knowledge to Build VerbNet-Style Lexicons: Results for a (Brazilian) Portuguese VerbNet (pp 149-160)
Scarton C & Specia L (2014) Exploring Consensus in Machine Translation for Quality Estimation. Proceedings of the Ninth Workshop on Statistical Machine Translation, June 2014 - June 2014.
Scarton C, Sun L, Kipper-Schuler K, Duran MS, Palmer M & Korhonen A (2014) Verb Clustering for Brazilian Portuguese (pp 25-39)
Scarton C & Specia L (2014) Document-level translation quality estimation: Exploring discourse and pseudo-references. Proceedings of the 17th Annual Conference of the European Association for Machine Translation, EAMT 2014 (pp 101-108)
Scarton C, Sun L, Kipper-Schuler K, Duran MS, Palmer M & Korhonen A (2014) Verb clustering for Brazilian Portuguese. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 8403 LNCS(PART 1) (pp 25-39)
(2014) Computational Processing of the Portuguese Language
Scarton C, Gasperin C & Aluisio S (2010) Revisiting the readability assessment of texts in Portuguese. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 6433 LNAI (pp 306-315)
Scarton C, Oliveira MD, Junior AC, Gasperin C & Aluísio SM (2010) SIMPLIFICA: a tool for authoring simplified texts in Brazilian Portuguese guided by readability assessments.. NAACL (Demos) (pp 41-44)
Scarton CE, De Almeida DM & Aluísio SM (2009) Text readability analysis with natural language processing tools: The adaptation of coh-metrix metrics for Portuguese. STIL 2009 - 2009 7th Brazilian Symposium in Information and Human Language Technology (pp 53-62)
Scarton C, Forcada ML, Esplà-Gomis M & Specia L () Estimating post-editing effort: a study on human judgements, task-based and reference-based metrics of MT quality View this article in WRRO

Theses / Dissertations

Scarton CE VerbNet.Br: construção semiautomática de um léxico verbal online e independente de domínio para o português do Brasil.

Grants

Current Grants

Modeling Idiomaticity in Human and Artificial Language Processing, EPSRC, 06/2020 - 05/2023, £446,163, as Co-PI