dr. L. Gatti (Lorenzo)

I obtained my PhD in 2018 from the University of Trento (Italy), under the supervision of Prof. Oliviero Stock and funded by FBK-irst. My research topic was natural language processing for computational creativity, sentiment and emotion analysis.

My current research interests involve natural language generation and affective language.

Engineering & Materials Science

# Computational Linguistics
# Football
# Glossaries
# Linguistics
# Sentiment Analysis

Arts & Humanities

# Creativity
# Football

Social Sciences

# Pragmatics

Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Human Media Interaction (HMI)

Araque, O. , Gatti, L., Staiano, J., & Guerini, M. (2022). DepecheMood++: a Bilingual Emotion Lexicon Built Through Simple Yet Powerful Techniques. IEEE transactions on affective computing, 13(1), 496-507. https://doi.org/10.1109/TAFFC.2019.2934444

Gatti, L., Stock, O., & Strapparava, C. (2021). Cognition and Computational Linguistic Creativity. In M. Danesi (Ed.), Handbook of Cognitive Mathematics (pp. 1-39). Springer. https://doi.org/10.1007/978-3-030-44982-7_33-1

Dulfer, R. , & Gatti, L. (2021). The Propaganda Machine: Generating Biased Reports about Risk Games. In 3rd IEEE Conference on Games, CoG 2021 https://doi.org/10.1109/CoG52621.2021.9618993

Gatti, L., Stock, O., Strapparava, C., & Özbal, G. (2021). Pragmatic evaluations of automated linguistic creativity. Language resources and evaluation. https://doi.org/10.1007/s10579-021-09560-6

Araque, O. , Gatti, L., & Kalimeri, K. (2021). The Language of Liberty. Abstract from 30th Web Conference, WWW 2021, Online Event.

Braun, N., van der Lee, C. , Gatti, L., Goudbeek, M., & Krahmer, E. (2021). MEmoFC: introducing the Multilingual Emotional Football Corpus. Language resources and evaluation, 55, 389-430. https://doi.org/10.1007/s10579-020-09508-2

Geissler, D., Nguyen, E., Theodorakopoulos, D. , & Gatti, L. (2020). Pokérator - Unveil your inner Pokémon. In Proceedings of the 11th International Conference on Computational Creativity (ICCC’20) (pp. 500-503) http://computationalcreativity.net/iccc20/papers/159-iccc20.pdf

Gatti, L. , & van Stegeren, J. (2020). Improving Dutch sentiment analysis in Pattern. Computational linguistics in the Netherlands journal, 10, 73-89. https://www.clinjournal.org/clinj/article/view/105

Gatti, L. , & van Stegeren, J. (2020). Improving Pattern.nl sentiment analysis. Abstract from 30th Meeting on Computational Linguistics in The Netherlands, CLIN 2020, Utrecht, Netherlands.

Araque, O. , Gatti, L., & Kalimeri, K. (2020). MoralStrength: Exploiting a moral lexicon and embedding similarity for moral foundations prediction. Knowledge-based systems, 191, [105184]. https://doi.org/10.1016/j.knosys.2019.105184

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201600074 - Natural Language Processing

Producing Affective Language

Content Selection, Message Formulation And Computational Modelling

This projects aims to investigate 1) how the emotional states of speakers influence the language they produce and 2) how the influence of emotion on language production can be modeled in computational tools for affective natural language generation. The experimental findings will feed into the development of a novel automatic news report generation tool that can adjust the message depending on the emotion it is intended to reflect (e.g., a report of the same match from the perspective of a losing team can be different from the report for the winning team). The application is developed with support from two parties from industry (Sanoma Media, in The Netherlands, and ARRIA, in the UK) that have expressed an interest in tools for the automatic generation of affective language.

+31534891834

l.gatti@utwente.nl

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 2082
Hallenweg 19
7522NH Enschede
The Netherlands

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University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling 2082
P.O. Box 217
7500 AE Enschede
The Netherlands

Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Human Media Interaction (HMI)

University of Twente Drienerlolaan 5
7522 NB Enschede

+31 (0)53 489 9111
info@utwente.nl
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Courses Academic Year 2021/2022

Courses Academic Year 2020/2021

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Producing Affective Language

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