NLP RESEARCH

Discover the science behind natural language processing with our industry-leading NLP research

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Who's behind this text?

Language: English
Tonality: positive
Emotion: joy
Personality trait: rational

Click to see analysis

Who's behind this text?

Language: English
Tonality: positive
Emotion: joy
Personality trait: rational

BEYOND THE CUTTING EDGE

BEYOND THE CUTTING EDGE

Our technology is based on scientific research by experts in a wide range of market sectors, including psychology, AI, NLP and engineering.

MarcFranco-Salvador

Marc Franco-Salvador

Director of Research

Research Focus:
Natural Language Processing
Information Retrieval
Plagiarism Detection
Computational Linguistics
Artificial Intelligence

Key publications:

 

  1. 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.
  2. Glavaš, G., Franco-Salvador, M., Ponzetto, S. P., & Rosso, P. (2018). A resource-light method for cross-lingual semantic textual similarity. Knowledge-based systems, 143, 1-9.
  3. Franco-Salvador, M., Rosso, P., & Montes-y-Gómez, M. (2016). A systematic study of knowledge graph analysis for cross-language plagiarism detection. Information Processing & Management, 52(4), 550-570.

Key publications:

 

  1. Štajner, S., Yenikent, S., Ghanem, B. and Franco-Salvador, M. 2021. What Motivates You? Benchmarking Automatic Detection of Basic Needs from Short Posts. In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP), pp. 803-810.
  2. Štajner, S., Yenikent, S. 2021. Why Is MBTI Personality Detection from Texts a Difficult Task? In Proceedings of the 16th conference of the European Chapter of the Association for Computational Linguistics (EACL), pp. 3580-3589.
  3. Štajner, S. 2021. Exploring Reliability of Gold Labels for Emotion Detection in Twitter. In Proceedings of the 13th international conference on Recent Advances in Natural Language Processing (RANLP), pp. 1350-1359.

Sanja Štajner

Senior Research Scientist and R&D Application Manager

Research Focus:
Text Simplification

Natural Language Processing
Computational Linguistics

Mara Chinea-Rios

Research Scientist

Research Focus:
Machine Translation
Adaptation
Online Learning
Domain Adaptation

Key publications:

 

  1. 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.

  2. 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.

  3. 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:

 

  1. Jonathan Herzig, Pawel Krzysztof Nowak, Thomas Müller, Francesco Piccinno, Julian Eisenschlos. TaPas: Weakly Supervised Table Parsing via Pre-training. ACL 2020
  2. Julian Martin Eisenschlos, Syrine Krichene, Thomas Müller. Understanding tables with intermediate pre-training. Findings ACL: EMNLP 2020.
  3. Thomas Müller, Helmut Schmid, Hinrich Schütze. Efficient Higher-Order CRFs for Morphological Tagging. EMNLP 2013.

Thomas Müller

Senior Research Scientist

Research Focus:
Natural Language Processing
Machine Learning

Seren Yenikent

Psycholinguist & Inhouse Consultant

Research Focus:
Psycholinguistics

Media Psychology

Key publications:

 

  1. 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.

  2. 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)

  3. 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:

 

  1. Rangel F, Sarracén GL, Chulvi B, Fersini E, Rosso P. “Profiling Hate Speech Spreaders on Twitter Task at PAN 2021.” In CLEF 2021.

  2. 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

  3. 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).

Gretel Liz de la Peña Sarracén

Junior Research Scientist

Research Focus:
Deep Learning

Guillermo Pérez-Torró

Research Engineer

Research Focus:
Natural Language Processing
Machine Learning
Deep Learning
Digital Signal Processing

Key publications:

 

  1. 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

  2. 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).

  3. 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

Angelo Basile

Research Scientist

Research Focus:
Language Technology
NLP
Stylometry

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