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Mara Chinea-Rios
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2020 – today
- 2023
- [c15]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:
Overview of PAN 2023: Authorship Verification, Multi-Author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection - Condensed Lab Overview. CLEF 2023: 459-481 - [c14]Mara Chinea-Rios, Ian Borrego-Obrador, Marc Franco-Salvador, Francisco Rangel, Paolo Rosso:
Profiling Cryptocurrency Influencers with Few-shot Learning. CLEF (Working Notes) 2023: 2492-2512 - [c13]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:
Overview of PAN 2023: Authorship Verification, Multi-author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection - Extended Abstract. ECIR (3) 2023: 518-526 - 2022
- [c12]Mara Chinea-Rios
, Thomas Müller
, Gretel Liz De la Peña Sarracén
, Francisco Rangel
, Marc Franco-Salvador
:
Zero and Few-Shot Learning for Author Profiling. NLDB 2022: 333-344 - [i3]Mara Chinea-Rios, Thomas Müller, Gretel Liz De la Peña Sarracén, Francisco Rangel, Marc Franco-Salvador:
Zero and Few-shot Learning for Author Profiling. CoRR abs/2204.10543 (2022) - 2021
- [c11]Angelo Basile, Mara Chinea-Rios, Ana Sabina Uban, Thomas Müller, Luise Rössler, Seren Yenikent, Berta Chulvi, Paolo Rosso, Marc Franco-Salvador:
UPV-Symanto at eRisk 2021: Mental Health Author Profiling for Early Risk Prediction on the Internet. CLEF (Working Notes) 2021: 908-927 - 2020
- [c10]Mara Chinea-Rios, Marc Franco-Salvador, Yassine Benajiba:
Aspect On: an Interactive Solution for Post-Editing the Aspect Extraction based on Online Learning. LREC 2020: 4974-4981
2010 – 2019
- 2019
- [j5]Mara Chinea-Rios, Germán Sanchis-Trilles, Francisco Casacuberta:
Vector sentences representation for data selection in statisticalmachine translation. Comput. Speech Lang. 56: 1-16 (2019) - [j4]Mara Chinea-Rios
, Germán Sanchis-Trilles, Francisco Casacuberta:
Discriminative ridge regression algorithm for adaptation in statistical machine translation. Pattern Anal. Appl. 22(4): 1293-1305 (2019) - [c9]Angelo Basile, Marc Franco-Salvador, Neha Pawar, Sanja Stajner, Mara Chinea-Rios, Yassine Benajiba:
SymantoResearch at SemEval-2019 Task 3: Combined Neural Models for Emotion Classification in Human-Chatbot Conversations. SemEval@NAACL-HLT 2019: 330-334 - 2018
- [c8]Mara Chinea-Rios, Álvaro Peris, Francisco Casacuberta:
Are Automatic Metrics Robust and Reliable in Specic Machine Translation Tasks? EAMT 2018: 109-118 - [c7]Mara Chinea-Rios, Germán Sanchis-Trilles, Francisco Casacuberta:
Creating the best development corpus for Statistical Machine Translation systems. EAMT 2018: 119-128 - 2017
- [j3]Álvaro Peris, Mara Chinea-Rios, Francisco Casacuberta:
Neural Networks Classifier for Data Selection in Statistical Machine Translation. Prague Bull. Math. Linguistics 108: 283-294 (2017) - [j2]Miguel Domingo, Mara Chinea-Rios, Francisco Casacuberta:
Historical Documents Modernization. Prague Bull. Math. Linguistics 108: 295-306 (2017) - [c6]Mara Chinea-Rios, Germán Sanchis-Trilles, Francisco Casacuberta:
Log-Linear Weight Optimization Using Discriminative Ridge Regression Method in Statistical Machine Translation. IbPRIA 2017: 32-41 - [c5]Mara Chinea-Rios, Álvaro Peris, Francisco Casacuberta:
Adapting Neural Machine Translation with Parallel Synthetic Data. WMT 2017: 138-147 - 2016
- [c4]Mara Chinea-Rios, Germán Sanchis-Trilles, Francisco Casacuberta:
Bilingual Data Selection Using a Continuous Vector-Space Representation. S+SSPR 2016: 95-106 - [i2]Mauro Cettolo, Mara Chinea-Rios, Roldano Cattoni:
Unsupervised Clustering of Commercial Domains for Adaptive Machine Translation. CoRR abs/1612.04683 (2016) - [i1]Álvaro Peris, Mara Chinea-Rios, Francisco Casacuberta:
Neural Networks Classifier for Data Selection in Statistical Machine Translation. CoRR abs/1612.05555 (2016) - 2015
- [j1]Mara Chinea-Rios, Germán Sanchis-Trilles, Francisco Casacuberta:
An empirical analysis of data selection techniques in statistical machine translation. Proces. del Leng. Natural 55: 101-108 (2015) - [c3]Mara Chinea-Rios, Germán Sanchis-Trilles, Francisco Casacuberta:
Domain adaptation problem in statistical machine translation systems. CCIA 2015: 205-213 - [c2]Mara Chinea-Rios, Germán Sanchis-Trilles, Francisco Casacuberta:
Sentence Clustering Using Continuous Vector Space Representation. IbPRIA 2015: 432-440 - 2014
- [c1]Mara Chinea-Rios, Germán Sanchis-Trilles, Daniel Ortiz-Martínez, Francisco Casacuberta:
Online optimisation of log-linear weights in interactive machine translation. LREC 2014: 3556-3559
Coauthor Index
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