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Who's behind this text?
Language: English
Tonality: positive
Emotion: joy
Personality trait: rational
Who's behind this text?
Language: English
Tonality: positive
Emotion: joy
Personality trait: rational
Our technology is based on scientific research by experts in a wide range of market sectors, including psychology, AI, NLP and engineering.
Research Focus:
Natural Language Processing
Information Retrieval
Plagiarism Detection
Computational Linguistics
Artificial Intelligence
Key publications:
Key publications:
Research Focus:
Text Simplification
Natural Language Processing
Computational Linguistics
Research Focus:
Machine Translation
Adaptation
Online Learning
Domain Adaptation
Key publications:
Chinea-Rios, Mara, Marc Franco-Salvador, and Yassine Benajiba. “Aspect on: an interactive solution for post-editing the aspect extraction based on online learning.” Proceedings of The 12th Language Resources and Evaluation Conference. 2020.
Chinea-Rios, Mara, Germán Sanchis-Trilles, and Francisco Casacuberta. “Discriminative ridge regression algorithm for adaptation in statistical machine translation.” Pattern Analysis and Applications 22.4 (2019): 1293-1305.
Chinea-Rios, Mara, Alvaro Peris, and Francisco Casacuberta. “Adapting neural machine translation with parallel synthetic data.” Proceedings of the Second Conference on Machine Translation. 2017.
Key publications:
Research Focus:
Natural Language Processing
Machine Learning
Research Focus:
Psycholinguistics
Media Psychology
Key publications:
Cohrdes, C., Yenikent, S., Wu, J., Ghanem, B., Franco-Salvador, M., & Vogelgesang, F. (2021). Indications of depressive symptoms during the covid-19 pandemic in Germany: Comparison of national survey and Twitter data. JMIR Mental Health, 8(6), e27140.
Štajner, S., & Yenikent, S. (2020). A survey of automatic personality detection from texts. In Proceedings of the 28th International Conference on Computational Linguistics (COLING) (pp. 6284-6295)
Yenikent, S., Holtz, P., Thalmann, S., d’Aquin, M., & Kimmerle, J. (2018). Evaluating the AFEL learning tools: Didactalia users’ experiences with personalized recommendations and interactive visualizations. In 13th European Conference on Technology Enhanced Learning (EC-TEL).
Key publications:
Rangel F, Sarracén GL, Chulvi B, Fersini E, Rosso P. “Profiling Hate Speech Spreaders on Twitter Task at PAN 2021.” In CLEF 2021.
Sarracén GL, Rosso P. “Offensive Keyword Extraction based on the Attention Mechanism of BERT and the Eigenvector Centrality using a Graph Representation.” Personal and Ubiquitous Computing. 2021
Sarracén GL, Rosso P. “Automatic Text Summarization based on Betweenness Centrality.” In Proceedings of the 5th Spanish Conference on Information Retrieval 2018 (pp. 1-4).
Research Focus:
Deep Learning
Research Focus:
Natural Language Processing
Machine Learning
Deep Learning
Digital Signal Processing
Key publications:
Basile A, Pérez-Torró G, Franco-Salvador M. “Probabilistic Ensembles of Zero- and Few-Shot Learning Models for Emotion Classification”, In Proceedings of Recent Advances in Natural Language Processing, pages 128-137, September 2021
Carrión A, Genovés V, Pérez G, Payá J, Gosálbez J. “Flipped accumulative non-linear single impact resonance acoustic spectroscopy (fansiras): A novel feature extraction algorithm for global damage assessment”, Journal of Sound and Vibration 432, 454-469 (2018).
Carrión A, Genovés V, Pérez G, Bittner J, Popovics JS, Payá J, Gosálbez J. “Effects of slow dynamics and conditioning on non-linear hysteretic material evaluation using impact resonance acoustic spectroscopy”, Mechanical System and Signal Processing, Volume 150, March 2021, 107273
Key publications:
Angelo Basile et al, N-gram: New groningen author-profiling model
Angelo Basile et al. You Write like You Eat: Stylistic Variation as a Predictor of Social Stratification
Angelo Basile and Federico Sangati, D(H)ante: A New Set of Tools for XIII Century Italian
Research Focus:
Language Technology
NLP
Stylometry
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