Mara Chinea-Rios

According to our database, Mara Chinea-Rios authored at least 22 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle

Proceedings of the Advances in Information Retrieval, 2023

Profiling Cryptocurrency Influencers with Few-shot Learning.

Mara Chinea-Rios, Ian Borrego-Obrador, Marc Franco-Salvador, Francisco Rangel, Paolo Rosso

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

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, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

2022

Zero and Few-shot Learning for Author Profiling.

Mara Chinea-Rios, Thomas Müller, Gretel Liz De la Peña Sarracén, Francisco Rangel, Marc Franco-Salvador

CoRR, 2022

Zero and Few-Shot Learning for Author Profiling.

Mara Chinea-Rios, Thomas Müller, Gretel Liz De la Peña Sarracén, Francisco Rangel, Marc Franco-Salvador

Proceedings of the Natural Language Processing and Information Systems, 2022

2021

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, Luise Rössler, Seren Yenikent, Berta Chulvi, Paolo Rosso, Marc Franco-Salvador

Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

2020

Aspect On: an Interactive Solution for Post-Editing the Aspect Extraction based on Online Learning.

Mara Chinea-Rios, Marc Franco-Salvador, Yassine Benajiba

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2019

Discriminative ridge regression algorithm for adaptation in statistical machine translation.

Mara Chinea-Rios, Germán Sanchis-Trilles, Francisco Casacuberta

Pattern Anal. Appl., 2019

Vector sentences representation for data selection in statisticalmachine translation.

Mara Chinea-Rios, Germán Sanchis-Trilles, Francisco Casacuberta

Comput. Speech Lang., 2019

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

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

2018

Creating the best development corpus for Statistical Machine Translation systems.

Mara Chinea-Rios, Germán Sanchis-Trilles, Francisco Casacuberta

Proceedings of the 21st Annual Conference of the European Association for Machine Translation, 2018

Are Automatic Metrics Robust and Reliable in Specic Machine Translation Tasks?

Mara Chinea-Rios, Álvaro Peris, Francisco Casacuberta

Proceedings of the 21st Annual Conference of the European Association for Machine Translation, 2018

2017

Neural Networks Classifier for Data Selection in Statistical Machine Translation.

Álvaro Peris, Mara Chinea-Rios, Francisco Casacuberta

Prague Bull. Math. Linguistics, 2017

Historical Documents Modernization.

Miguel Domingo, Mara Chinea-Rios, Francisco Casacuberta

Prague Bull. Math. Linguistics, 2017

Adapting Neural Machine Translation with Parallel Synthetic Data.

Mara Chinea-Rios, Álvaro Peris, Francisco Casacuberta

Proceedings of the Second Conference on Machine Translation, 2017

Log-Linear Weight Optimization Using Discriminative Ridge Regression Method in Statistical Machine Translation.

Mara Chinea-Rios, Germán Sanchis-Trilles, Francisco Casacuberta

Proceedings of the Pattern Recognition and Image Analysis - 8th Iberian Conference, 2017

2016

Unsupervised Clustering of Commercial Domains for Adaptive Machine Translation.

Mauro Cettolo, Mara Chinea-Rios, Roldano Cattoni

CoRR, 2016

Bilingual Data Selection Using a Continuous Vector-Space Representation.

Mara Chinea-Rios, Germán Sanchis-Trilles, Francisco Casacuberta

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

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

Sentence Clustering Using Continuous Vector Space Representation.

Mara Chinea-Rios, Germán Sanchis-Trilles, Francisco Casacuberta

Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

Domain adaptation problem in statistical machine translation systems.

Mara Chinea-Rios, Germán Sanchis-Trilles, Francisco Casacuberta

Proceedings of the Artificial Intelligence Research and Development, 2015

2014

Online optimisation of log-linear weights in interactive machine translation.

Mara Chinea-Rios, Germán Sanchis-Trilles, Daniel Ortiz-Martínez, Francisco Casacuberta

Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014