Expertises
Computer Science
- Linguistics
- Evaluation
- Sentiment Analysis
- Rhetoric
- User
Arts and Humanities
- Liberty
- System
Psychology
- Narrative
Organisaties
Publicaties
2024
Investigating the Impact of Code Generation Tools (ChatGPT & Github CoPilot) on Programming Education (2024)In Proceedings of the 16th International Conference on Computer Supported Education, CSEDU 2024 (pp. 221-229) (International Conference on Computer Supported Education, CSEDU - Proceedings; Vol. 2). Science and Technology Publications, Lda. Nizamudeen, F., Gatti, L., Bouali, N. & Ahmed, F.https://doi.org/10.5220/0012628000003693Part-of-Speech Tagging for Northern Kurdish (2024)In Joint Workshop on Multiword Expressions and Universal Dependencies, MWE-UD 2024 at LREC-COLING 2024 - Workshop Proceedings (pp. 70-80). European Language Resources Association (ELRA). Morad, P., Ahmadi, S. & Gatti, L.https://aclanthology.org/2024.mwe-1.11
2023
What does a Text Classifier Learn about Morality? An Explainable Method for Cross-Domain Comparison of Moral Rhetoric - code (2023)[Dataset Types › Dataset]. 4TU.Centre for Research Data. Liscio, E., Araque, O., Gatti, L., Constantinescu, I., Jonker, C. M., Kalimeri, K. & Murukannaiah, P. K.https://doi.org/10.4121/1e71138c-be26-4652-971a-48a84837df8eWhat does a Text Classifier Learn about Morality? An Explainable Method for Cross-Domain Comparison of Moral Rhetoric - models (2023)[Dataset Types › Dataset]. 4TU.Centre for Research Data. Liscio, E., Araque, O., Gatti, L., Constantinescu, I., Jonker, C. M., Kalimeri, K. & Murukannaiah, P. K.https://doi.org/10.4121/646b20e3-e24f-452d-938a-bcb6ce30913cWhat does a Text Classifier Learn about Morality? An Explainable Method for Cross-Domain Comparison of Moral Rhetoric - supplemental material (2023)[Dataset Types › Dataset]. 4TU.Centre for Research Data. Liscio, E., Araque, O., Gatti, L., Constantinescu, I., Jonker, C. M., Kalimeri, K. & Murukannaiah, P. K.https://doi.org/10.4121/cd43b76a-850e-4222-ab81-5a20b7b1b93dBeyond the Headlines: Understanding Sentiments and Morals Impacting Female Employment in Spain (2023)[Contribution to conference › Paper] Workshop on Data for the Wellbeing of the Most Vulnerable, DWMV 2023. Araque, O., Barbaglia, L., Berlingieri, F., Colagrossi, M., Gatti, L., Consoli, S., Mauri, C. & Kalimeri, K.https://workshop-proceedings.icwsm.org/abstract.php?id=2023_03Tomea: an Explainable Method for Comparing Morality Classifiers across Domains (2023)[Contribution to conference › Abstract] Joint International Scientific Conferences on AI and Machine Learning, BNAIC/BeNeLearn 2023. Liscio, E., Araque, O., Gatti, L., Constantinescu, I., Jonker, C. M., Kalimeri, K. & Murukannaiah, P. K.https://bnaic2023.tudelft.nl/static/media/BNAICBENELEARN_2023_paper_29.6e3e33970df5a3d9592a.pdfWhat does a Text Classifier Learn about Morality? An Explainable Method for Cross-Domain Comparison of Moral Rhetoric (2023)In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 14113-14132) (Proceedings of the Annual Meeting of the Association for Computational Linguistics; Vol. 1). Association for Computational Linguistics (ACL). Liscio, E., Araque, O., Gatti, L., Constantinescu, I., Jonker, C. M., Kalimeri, K. & Murukannaiah, P. K.https://aclanthology.org/2023.acl-long.789
2022
LibertyMFD: A Lexicon to Assess the Moral Foundation of Liberty. (2022)In GoodIT 2022 - Proceedings of the 2022 ACM Conference on Information Technology for Social Good (pp. 154-160) (ACM International Conference Proceeding Series). Association for Computing Machinery. Araque, O., Gatti, L. & Kalimeri, K.https://doi.org/10.1145/3524458.3547264Pragmatic evaluations of automated linguistic creativity (2022)Language resources and evaluation, 56, 451–476. Gatti, L., Stock, O., Strapparava, C. & Özbal, G.https://doi.org/10.1007/s10579-021-09560-6
Onderzoeksprofielen
Vakken collegejaar 2024/2025
Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.
- 192199508 - Research Topics CS
- 192199968 - Internship CS
- 201300086 - Research Topics 2 CS
- 201400171 - Capita Selecta ST
- 201600074 - Natural Language Processing
- 201800524 - Research Topics EIT
- 201900194 - Research Topics I-Tech
- 201900234 - Internship I-Tech
- 202001033 - Statistical Techniques for TCS/BIT
- 202200022 - KKR & DQ
- 202200145 - AI and Cyber Security
- 202200146 - HCI Design and Evaluation
Vakken collegejaar 2023/2024
- 192199508 - Research Topics CS
- 192199968 - Internship CS
- 201300086 - Research Topics 2 CS
- 201400171 - Capita Selecta Software Technology
- 201600074 - Natural Language Processing
- 201800524 - Research Topics EIT
- 201900194 - Research Topics I-Tech
- 201900195 - Final Project I-Tech
- 201900234 - Internship I-Tech
- 202001616 - Research Topics CS + I-TECH
- 202200022 - KKR & DQ
- 202200145 - AI and Cyber Security
- 202200146 - HCI Design and Evaluation
Lopende projecten
Producing Affective Language
Adres

Universiteit Twente
Citadel (gebouwnr. 09), kamer H227
Hallenweg 15
7522 NH Enschede
Universiteit Twente
Citadel H227
Postbus 217
7500 AE Enschede