Online optimisation of log-linear weights in interactive machine translation. - Mara Chinea-Rios; Germán Sanchis-Trilles; Daniel Ortiz-Martínez; Francisco Casacuberta (LREC, 2014)

Domain adaptation problem in statistical machine translation systems. - Mara Chinea-Rios; Germán Sanchis-Trilles; Francisco Casacuberta (CCIA, 2015)

Sentence Clustering Using Continuous Vector Space Representation. - Mara Chinea-Rios; Germán Sanchis-Trilles; Francisco Casacuberta (IbPRIA, 2015)

An empirical analysis of data selection techniques in statistical machine translation. - Mara Chinea-Rios; Germán Sanchis-Trilles; Francisco Casacuberta (Proces. del Leng. Natural, 2015)

Bilingual Data Selection Using a Continuous Vector-Space Representation. - Mara Chinea-Rios; Germán Sanchis-Trilles; Francisco Casacuberta (S+SSPR, 2016)

Unsupervised Clustering of Commercial Domains for Adaptive Machine Translation. - Mauro Cettolo; Mara Chinea-Rios; Roldano Cattoni (CoRR, 2016)

Log-Linear Weight Optimization Using Discriminative Ridge Regression Method in Statistical Machine Translation. - Mara Chinea-Rios; Germán Sanchis-Trilles; Francisco Casacuberta (IbPRIA, 2017)

Adapting Neural Machine Translation with Parallel Synthetic Data. - Mara Chinea-Rios; Álvaro Peris; Francisco Casacuberta (WMT, 2017)

Historical Documents Modernization. - Miguel Domingo; Mara Chinea-Rios; Francisco Casacuberta (Prague Bull. Math. Linguistics, 2017)

Neural Networks Classifier for Data Selection in Statistical Machine Translation. - Álvaro Peris; Mara Chinea-Rios; Francisco Casacuberta (Prague Bull. Math. Linguistics, 2017)

Are Automatic Metrics Robust and Reliable in Specic Machine Translation Tasks? - Mara Chinea-Rios; Álvaro Peris; Francisco Casacuberta (EAMT, 2018)

Creating the best development corpus for Statistical Machine Translation systems. - Mara Chinea-Rios; Germán Sanchis-Trilles; Francisco Casacuberta (EAMT, 2018)

SymantoResearch at SemEval-2019 Task 3: Combined Neural Models for Emotion Classification in Human-Chatbot Conversations. - Angelo Basile; Marc Franco-Salvador; Neha Pawar; Sanja Stajner; Mara Chinea-Rios; Yassine Benajiba (SemEval@NAACL-HLT, 2019)

Vector sentences representation for data selection in statisticalmachine translation. - Mara Chinea-Rios; Germán Sanchis-Trilles; Francisco Casacuberta (Comput. Speech Lang., 2019)

Discriminative ridge regression algorithm for adaptation in statistical machine translation. - Mara Chinea-Rios; Germán Sanchis-Trilles; Francisco Casacuberta (Pattern Anal. Appl., 2019)

Aspect On: an Interactive Solution for Post-Editing the Aspect Extraction based on Online Learning. - Mara Chinea-Rios; Marc Franco-Salvador; Yassine Benajiba (LREC, 2020)

UPV-Symanto at eRisk 2021: Mental Health Author Profiling for Early Risk Prediction on the Internet. - Angelo Basile; Mara Chinea-Rios; Ana Sabina Uban; Thomas Müller 014; Luise Rössler; Seren Yenikent; Berta Chulvi; Paolo Rosso; Marc Franco-Salvador (CLEF (Working Notes), 2021)

Zero and Few-Shot Learning for Author Profiling. - Mara Chinea-Rios; Thomas Müller 009; Gretel Liz De la Peña Sarracén; Francisco Rangel; Marc Franco-Salvador (NLDB, 2022)

Zero and Few-shot Learning for Author Profiling. - Mara Chinea-Rios; Thomas Müller 014; Gretel Liz De la Peña Sarracén; Francisco Rangel; Marc Franco-Salvador (CoRR, 2022)

Overview of PAN 2023: Authorship Verification, Multi-Author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection - Condensed Lab Overview. - Janek Bevendorff; Ian Borrego-Obrador; Mara Chinea-Rios; Marc Franco-Salvador; Maik Fröbe; Annina Heini; Krzysztof Kredens; Maximilian Mayerl; Piotr Pezik; Martin Potthast; Francisco Rangel; Paolo Rosso; et al. (CLEF, 2023)

Profiling Cryptocurrency Influencers with Few-shot Learning. - Mara Chinea-Rios; Ian Borrego-Obrador; Marc Franco-Salvador; Francisco Rangel; Paolo Rosso (CLEF (Working Notes), 2023)

Overview of PAN 2023: Authorship Verification, Multi-author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection - Extended Abstract. - Janek Bevendorff; Mara Chinea-Rios; Marc Franco-Salvador; Annina Heini; Erik Körner; Krzysztof Kredens; Maximilian Mayerl; Piotr Pezik; Martin Potthast; Francisco Rangel; Paolo Rosso; Efstathios Stamatatos; et al. (ECIR (3), 2023)

AI-Q: a Framework to Measure the Robustness of Text Classification Models. - Konrad Mysliwiec; Mara Chinea-Rios; Ian Borrego-Obrador; Marc Franco-Salvador (KES, 2024)

IberBench: LLM Evaluation on Iberian Languages. - José Ángel González; Ian Borrego-Obrador; Álvaro Romo Herrero; Areg Mikael Sarvazyan; Mara Chinea-Rios; Angelo Basile; Marc Franco-Salvador (CoRR, 2025)