Sara Tonelli

Since 2013 I am the head of the Digital Humanities research group at FBK. I am currently involved in the H2020 ODEUROPA project, where I lead the work-package related to olfactory information extraction, and in the H2020  PERCEPTIONS project, related to the online perception of EU and the narratives around migration to EU. Since  January 2021 I am also the scientific coordinator of the KID ACTIONS European project, aimed at addressing cyberbullying among children and adolescents through interactive education and gamification. I am also part of several other digital humanities projects, which can be found here.

I have a Phd in Language Sciences from Università Ca' Foscari, Venice. In 2020 I got the national habilitation as Associate Professor (seconda fascia) for the area `Information Systems' 09/H1.

I was involved in the past in several European project: Pescado (FP7 - keyword extraction), Terence (FP7 - event-based text simplification), NewsReader (FP7 - event extraction and semantic role recognition), SIMPATICO (H2020 - text simplification in the administrative domain), HATEMETER (REC - social media monitoring for islamopohobia detection), CREEP (EitDIGITAL - Cyberbullying detection).

I was senior area chair for Language Resources and Evaluation at ACL 2018 and 2019. I have served as area chair for Language Resources and Evaluation at ACL2020 and for the Computational social science and social media track at EMNLP 2020 and NAACL 2021. I was a Senior program committee member at ECAI 2020. This year I have also been keynote speaker at the Slovenian Digital Technologies and Digital Humanities Annual Conference.

Students' supervision:

Current Phd Students:

2020 - present: Camilla Casula "Multilingual abusive language detection", ICT Doctoral School, University of Trento

2019 - present: Daniela Trotta (co-advised with Annibale Elia) "Multimodal political communication", Dept. of Linguistics, University of Salerno

2018 - present: Federico Bonetti, "Gamification for Linguistic Annotation", Doctoral School in Cognitive Science, University of Trento

2017 - present: Matteo Lorenzini (co-advised with Marco Rospocher) "Automatic quality improvement and content enrichment of digital cultural heritage data", ICT Doctoral School, University of Trento

Past Phd students:

2016 - 2020: Lorenzo Lucchini (co-advised with Bruno Lepri), "Modeling and forecasting cultural dynamics with natural language processed data",  ICT Doctoral School, University of Trento

2013 - 2018: Stefano Menini (now post-doc in the DH group), "Automatic Analysis of Agreement and Disagreement in the Political Domain", ICT Doctoral School, University of Trento

2013 - 2018: Rachele Sprugnoli (now at Università Cattolica del Sacro Cuore, Milan), "Event detection and classification for the Digital Humanities", ICT Doctoral School, University of Trento

2012 - 2016: Paramita Mirza (now at Max Planck Institute for Informatics, Germany) "Extracting temporal and causal relations between events", ICT Doctoral School, University of Trento [arXiv]

Social media analysis and Hate speech detection: CREEP and Hatemeter project, collaboration with INRIA & University of Nice [link to Evalita paper, Germeval paper, WhatsApp dataset]

Event and temporal/causal processing: Terence and NewsReader European projects, Rachele Sprugnoli's thesis, Paramita Mirza's thesis [link to software, poster, download CausalTimeBank]

Agreement, Disagreement and Argumentation Mining, especially in the political domain: collaboration with INRIA & University of Nice, Stefano Menini's thesis [link to data, link to datasets], collaboration with University of Mannheim (honorable mention at EMNLP 2017 for joint paper)

Digital Humanities, Historical Data Processing, Digital Cultural Heritage: ALCIDE project [link to demo], RAMBLE-ON application [link to generic system and to system version working with data on Italian Shoah], collaboration with Tommaso Caselli from University of Groningen to create the Content Type corpus [link to data], Matteo Lorenzini's thesis work.
Text Simplification: Terence and SIMPATICO European projects, MUSST syntactic simplifier [link to software], ERNESTA simplification tool, SIMPITIKI corpus for Italian Simplification [link to dataset]

FrameNet, Keyword Extraction and Terminology: my Phd thesis work [link to Italian FrameNet data], collaboration with Luciano Serafini to create a FrameNet-based resource for the Semantic Web [link to data], Keyphrase Digger extraction tool [link to demo and software].

Discourse Analysis and Parsing: past collaboration with Giuseppe Riccardi from University of Trento, my internship at University of Pennsylvania.

1. Corazza, Michele; Menini, Stefano; Cabrio, Elena; Tonelli, Sara; Villata, Serena,
   A Multilingual Evaluation for Online Hate Speech Detection,
   in «ACM TRANSACTIONS ON INTERNET TECHNOLOGY»,
   vol. 20,
   n. 2,
   2020
   , pp. 1-
   22
2. Sprugnoli, Rachele; Tonelli, Sara,
   Novel Event Detection and Classification for Historical Texts,
   in «COMPUTATIONAL LINGUISTICS»,
   vol. 45,
   n. 2,
   2019
   , pp. 229-
   265
3. Lucchini, Lorenzo; Tonelli, Sara; Lepri, Bruno,
   Following the footsteps of giants: modeling the mobility of historically notable individuals using Wikipedia,
   in «EPJ DATA SCIENCE»,
   vol. 8,
   n. 36,
   2019
4. Menini, S.; Cabrio, E.; Tonelli, S.; Villata, S.,
   Never Retreat, Never Retract: Argumentation Analysis for Political Speeches,
   Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18),
   2018
5. Menini, Stefano; Nanni, Federico; Simone Paolo Ponzetto, ; Tonelli, Sara,
   Topic-Based Agreement and Disagreement in US Electoral Manifestos,
   Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing,
   Association for Computational Linguistics,
   2017
   , pp. 2928-
   2934