Francesca Grasso

Scholar

Contacts

At

Computer Science Department
Dipartimento di Informatica

Curriculum vitae

Curriculum Vitae (0.2 MB)

Research products

All my research products

Selected research products

Published/Accepted Papers:

Grasso, F., Patz, R., Stede, M. (2024). NYTAC-CC: A Climate Change Subcorpus of New York Times Articles. In Proceedings of the Tenth Italian Conference on Computational Linguistics, CLiC-it 2024. Forthcoming.
Grasso, F., Locci, S. (2024). Assessing Generative Language Models in Classification Tasks: Performance and Self-evaluation Capabilities in the Environmental and Climate Change Domain. In: Rapp, A., Di Caro, L., Meziane, F., Sugumaran, V. (eds) Natural Language Processing and Information Systems. NLDB 2024. Lecture Notes in Computer Science, vol 14763. Springer, Cham. https://doi.org/10.1007/978-3-031-70242-6_29
Grasso, F., Valese, A., Micheli, M. (2024). Body-Shaming Detection and Classification in Italian Social Media. In: Rapp, A., Di Caro, L., Meziane, F., Sugumaran, V. (eds) Natural Language Processing and Information Systems. NLDB 2024. Lecture Notes in Computer Science, vol 14762. Springer, Cham. https://doi.org/10.1007/978-3-031-70239-6_18
Grasso, F., Lovera Rulfi, V., Di Caro, L. (2024). VerbAligNet: Unlocking Multilingual Exploration of Verbal Arguments. In: Garoufallou, E., Sartori, F. (eds) Metadata and Semantic Research. MTSR 2023. Communications in Computer and Information Science, vol 2048. Springer, Cham. https://doi.org/10.1007/978-3-031-65990-4_1
https://iris.unito.it/handle/2318/1948925
Grasso, F., Locci, S., Siragusa, G., & Di Caro, L. (2024, May). EcoVerse: An Annotated Twitter Dataset for Eco-Relevance Classification, Environmental Impact Analysis, and Stance Detection. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (pp. 5461-5472).https://aclanthology.org/2024.lrec-main.485
Criscuolo, L. et al. (2024). Developing a Participatory Process for Soil Fertility: A Case Study in an Urban Area of Italy. Sustainability, 16(12), 4882.https://www.mdpi.com/2820968
Alloatti, F., Grasso, F., Ferrod R., Siragusa G., Di Caro L., Cena F. (2024). A Tag-based Methodology for the Detection of User Repair Strategies in Task-Oriented Conversational Agents. In Computer Speech & Language, vol. 86.
https://doi.org/10.1016/j.csl.2023.101603
https://iris.unito.it/handle/2318/1948931
Grasso, F., & Di Caro, L. (2023). Towards Cross-lingual Representation of Prototypical Lexical Knowledge. IJCoL. Italian Journal of Computational Linguistics. 9(9-2).
https://doi.org/10.4000/ijcol.1237
https://iris.unito.it/handle/2318/1948930
Grasso, F., Lovera Rulfi, V., Di Caro, L. (2022). MultiAligNet: Cross-lingual Knowledge Bridges Between Words and Senses. In: Corcho, O., Hollink, L., Kutz, O., Troquard, N., Ekaputra, F.J. (eds) Knowledge Engineering and Knowledge Management. EKAW 2022. Lecture Notes in Computer Science(), vol 13514. Springer, Cham.
https://doi.org/10.1007/978-3-031-17105-5_3
https://iris.unito.it/handle/2318/1891705
Grasso, F. and Di Caro, L. (2021). A methodology for large-scale, disambiguated, and unbiased lexical knowledge acquisition based on multilingual word alignment. In Elisabetta Fersini, et al., editors, Proceedings of the Eighth Italian Conference on Computational Linguistics, CLiC-it 2021, Milan, Italy, January 26-28, 2022, volume 3033 of CEUR Workshop Proceedings. CEUR-WS.org.
https://doi.org/10.4000/books.aaccademia.10653
https://iris.unito.it/handle/2318/1900672

Papers Under Review:

Grasso, F. & Stede, M. (submitted). **title anonymized for double-blind review**. COLING 2025
Cena F., Grasso, F. (submitted). Exploring User Mental Model of Conversational Agents: A Comprehensive Survey. In Behaviour & Information Technology.

Proceedings/Editorial Contributions:

Toyoshima,F., Katsumi, M., Righetti, G., De Giorgis, S., M. Hedblom, M., Kutz,o., Brodaric,B., Grüninger,M., Hahmann,t., Damion Dooley, S., Lange, M., Küçük-McGinty, H., Sehar Simon, A., Cameron, R., Gajderowicz, B., Rosu, D., Hastings, J., Audrito, D., Di Caro, L., Grasso, F., Nai, R., Sulis, E., Bozzato, L., Shimizu, C., Zimmermann, A., Baratella, R., Borgo, S., de Cesare, S., Prince Sales, T.: Proceedings of the Joint Ontology Workshops 2023 Episode IX: The Quebec Summer of Ontology co-located with the 13th International Conference on Formal Ontology in Information Systems (FOIS 2023), Sherbrooke, Québec, Canada, July 19-20, 2023. CEUR Workshop Proceedings 3637, CEUR-WS.org 2023. https://ceur-ws.org/Vol-3637/
Symeonidou, D., Yu, R., Ceolin, D., Poveda-Villalón, M., Audrito, D., Di Caro, L., Grasso, F., Nai, R., Sulis, E., Ekaputra F., Kutz, O. & Troquard, N. (2022). EKAW-C 2022: Companion Proceedings of the 23rd International Conference on Knowledge Engineering and Knowledge Management, Bozen-Bolzano, Italy, September 26-29, 2022.
https://iris.unito.it/handle/2318/1900692

Awards and Honors:

Best Paper Award at NLDB 2024 - The 29^th International Conference on Natural Language & Information Systems – for the paper "Body-Shaming Detection and Classification in Italian Social Media" (Grasso, Valese & Micheli 2024); Turin, June 27^th2024.
Best Student Paper Award at MTSR 2023 - 18^th International Conference on Metadata and Semantics Research – for the paper “VerbAligNet: Unlocking Multilingual Exploration of Verbal Arguments” (Grasso, Lovera Rulfi & Di Caro 2023); Milan, October 27^th 2023.
Best Paper Award at EKAW 2022 - 23^rd International Conference on Knowledge Engineering and Knowledge Management - for the paper "MultiAligNet: Cross-lingual Knowledge Bridges Between Words and Senses" (Grasso, Lovera Rulfi & Di Caro 2022);
Bözen, September 29^th 2022.

Research topics

I am a third-year Ph.D. candidate with formal training in linguistics conducting academic research in NLP (Natural Language Processing) and HCI (Human-Computer Interaction). My main research interests lie in the automatic detection, classification, and assessment of environmental and climate change-related narratives, and multilingual knowledge modeling. Other projects include the study of human-conversational agent interactions and hate speech detection, specifically focusing on body shaming.

My doctoral project combines ecolinguistics and ecocriticism theory and methods with NLP techniques with the aim of investigating widespread environment and ecology-related narratives delivered by individuals, economic, academic, and media entities. The ultimate goal is to develop an automatic system for detecting harmful and detrimental attitudes (or positive and beneficial) to sustainability and ecological well-being, as well as to detect anthropocentric biases in language use, including that of Large Language Models (LLMs).

Collaborations and Organizational Roles:

I am an active member of several academic entities, including the Social Computing Research Group, Computer Science Department Board (as Ph.D. students representative), and the Ph.D. Committee (also as Ph.D. students representative).

I co-organized and chaired the first and second editions of the International Workshop on Knowledge Management and Process Mining for Law (KM4LAW) at the International Conferences EKAW 2022 and FOIS 2023. I am currently co-organizing its third edition, to be hosted by FOIS 2024.

I co-founded and chaired the 1^st edition of the International Workshop on Biased Data in Conversational Agents at the European Conference ECML PKDD 2023.

I am currently part of the Organizing Committee for the 29th International Conference on Natural Language & Information Systems (NLDB 2024), serving as the Diversity, Equity, and Inclusion Chair.

Research internship:

Since the end of October 2023, I have been a visiting Ph.D. Student at the University of Potsdam, Germany, under Prof. Dr. Manfred Stede. Our collaboration focuses on analyzing texts related to climate change and ecological issues, a project that will continue into 2024.

In a collaborative internship with Almawave, a company specializing in NLP techniques, my focus has been on investigating corporate communication to identify unsustainable business practices.