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

Lopende projecten

Producing Affective Language

Scan de QR-code of
Download vCard