Dr. Federico Nanni

Researcher

federico (at) informatik.uni-mannheim.de

B6, 26, Room C 1.05

Research Interest

My work is focused on adopting (and adapting) Natural Language Processing methods and Information Retrieval approaches in Digital Humanities and Computational Social Science research tasks. If you want to know more, come visit my website ;-)

Elshehawy, A., Gavras, K., Marinov, N., Nanni, F. and Schoen, H. (2022). Illiberal communication and election intervention during the refugee crisis in Germany. Perspectives on Politics, 20, 860–878.
Nanni, F., Glavaš, G., Rehbein, I., Ponzetto, S. P. and Stuckenschmidt, H. (2021). Political text scaling meets computational semantics. ACM/IMS Transactions on Data Science : TDS, 2, 1–27.
Rovera, M., Nanni, F. and Ponzetto, S. P. (2021). Event-based access to historical Italian war memoirs. ACM Journal on Computing and Cultural Heritage : JOCCH, 14, 1–23.
Nanni, F., Ponzetto, S. P. and Dietz, L. (2020). Toward comprehensive event collections. International Journal on Digital Libraries, 21, 215–229.
Nanni, F., Dietz, L. and Ponzetto, S. P. (2018). Toward a computational history of universities: Evaluating text mining methods for interdisciplinarity detection from PhD dissertation abstracts. Digital Scholarship in the Humanities : DSH, 33, 612–620.
Nanni, F. (2017). Reconstructing a website’s lost past : methodological issues concerning the history of Unibo.it. Digital Humanities Quarterly : DHQ, 11, [1]-[37].
Lauscher, A., Nanni, F., Ruiz Fabo, P. and Ponzetto, S. P. (2016). Entities as topic labels : combining entity linking and labeled LDA to improve topic interpretability and evaluability. IJCol – Italian journal of computational linguistics, 2, 67–88.
Nanni, F., Dietz, L., Faralli, S., Glavaš, G. and Ponzetto, S. P. (2016). Capturing interdisciplinarity in academic abstracts. D-Lib Magazine, 22, [Article 9].
Nanni, F., Kümper, H. and Ponzetto, S. P. (2016). Semi-supervised textual analysis and historical research helping each other: some thoughts and observations. International Journal of Humanities and Arts Computing, 10, 63–77.

Abercrombie, G., Nanni, F., Batista-Navarro, R. and Ponzetto, S. P. (2019). Policy preference detection in parliamentary debate motions. In , Proceedings of the 23rd Conference on Computational Natural Language Learning : CoNLL 2019 (S. 249–259). , Association for Computational Linguistics: Stroudsburg, PA.
Glavaš, G., Nanni, F. and Ponzetto, S. P. (2019). Computational analysis of political texts: Bridging research efforts across communities. In , The 57th Annual Meeting of the Association for Computational Linguistics : tutorial abstracts, July 28, 2019, Florence, Italy (S. 18–23). , Association for Computational Linguistics (ACL): Stroudsburg, PA.
Nanni, F., Menini, S., Tonelli, S. and Ponzetto, S. P. (2019). Semantifying the UK Hansard (1918-2018). In , 2019 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019 : proceedings, 2–6 June 2019, Urbana-Champaign, Illinois (S. 412–413). , ACM Press: New York, NY.
Nanni, F., Zhang, J., Betz, F. and Gashteovski, K. (2019). EAL: A toolkit and dataset for entity-aspect linking. In , 2019 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019 : proceedings, 2–6 June 2019, Urbana-Champaign, Illinois (S. 430–431). , ACM Press: New York.
Nanni, F., Glavaš, G., Ponzetto, S. P., Tonelli, S., Conti, N., Aker, A., Aprosio, A. P., Bleier, A., Carlotti, B., Gessler, T., Henrichsen, T., Hovy, D., Kahmann, C., Karan, M., Matsuo, A., Menini, S., Nguyen, D., Niekler, A., Posch, L., Vegetti, F., Waseem, Z., Whyte, T. and Yordanova, N. (2018). Findings from the hackathon on understanding euroscepticism through the lens of textual data. In , Proceedings of the LREC 2018 Workshop “ParlaCLARIN : LREC2018 workshop on creating and using parliamentary corpora”, 7 May 2018 – Miyazaki, Japan (S. 59–66). , LREC: Miyazaki, Japan.
Nanni, F., Osman, M., Cheng, Y.-R., Ponzetto, S. P. and Dietz, L. (2018). UKParl: A data set for topic detection with semantically annotated text. In , Proceedings of the LREC 2018 Workshop “ParlaCLARIN : LREC2018 workshop on creating and using parliamentary corpora”, 7 May 2018 – Miyazaki, Japan (S. 29–32). , LREC: Miyazaki, Japan.
Nanni, F., Ponzetto, S. P. and Dietz, L. (2018). Entity-aspect linking : providing fine-grained semantics of entities in context. In , Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries : June 3–6, 2018 in Fort Worth, Texas (S. 49–58). , ACM: New York, NY.
Glavaš, G., Nanni, F. and Ponzetto, S. P. (2017). Cross-lingual classification of topics in political texts. In , The 55th Annual Meeting of the Association for Computational Linguistics – proceedings of the Second Workshop on Natural Language Processing and Computational Social Science : August 3, 2017, Vancouver, Canada : ACL 2017 (S. 42–46). , Association for Computational Linguistics (ACL): Stroudsburg, PA.
Glavaš, G., Nanni, F. and Ponzetto, S. P. (2017). Unsupervised cross-lingual scaling of political texts. In , 15th Conference of the European Chapter of the Association for Computational Linguistics : proceedings of conference, volume 1: Long Papers (S. 688–693). , Association for Computational Linguistics: Stroudsburg, PA.
Lauscher, A., Nanni, F. and Ponzetto, S. P. (2017). Entitäten als Topic Labels : Verbesserung der Interpretierbarkeit und Evaluierbarkeit von Themen durch Kombinieren von Entity Linking und Topic Modeling. In , DHd 2017 : Digitale Nachhaltigkeit : Konferenzabstracts : Universität Bern 13. bis 18. Februar 2017 : 4. Tagung des Verbands Digital Humanities im deutschsprachigen Raum e.V. (S. 242–244). , Verband Digital Humanities im deutschsprachigen Raum e.V.: Bern.
Lauscher, A., Nanni, F. and Ponzetto, S. P. (2017). SLaTE: a system for labeling topics with entities. In , Digital Humanities 2017 : conference abstracts : McGill University & Université de Montréal, Montréal, Canada, August 8 – 11, 2017 (S. 742–743). , McGill Université ; Université de Montréal: Montréal.
Menini, S., Nanni, F., Ponzetto, S. P. and Tonelli, S. (2017). Topic-based agreement and disagreement in US electoral manifestos. In , Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (S. 2938-2944). , Association for Computational Linguistics: Stroudsburg, PA.
Nanni, F., Marinov, N., Ponzetto, S. P. and Dietz, L. (2017). Building entity-centric event collections for supporting research in political and social history. In , Digital Humanities 2017 : conference abstracts, McGill University & Université de Montréal, Montréal, Canada, August 8 – 11, 2017 (S. 765–768). , McGill Université ; Université de Montréal: Montréal.
Nanni, F., Mitra, B., Magnusson, M. and Dietz, L. (2017). Benchmark for complex answer retrieval. In , ICTIR '17 : proceedings of the 3rd ACM International Conference on the Theory of Information Retrieval : October 1–4 2017, Amsterdam, Netherlands (S. 293–296). , ACM: New York, NY.
Nanni, F. and Paci, G. (2017). A discipline-enriched dataset for tracking the computational turn of European universities. In , WOSP 2017 : 6th International Workshop on Mining Scientific Publications : Toronto, ON, Canada, June 19, 2017 (S. 29–33). , ACM: New York, NY.
Nanni, F., Ponzetto, S. P. and Dietz, L. (2017). Building entity-centric event collections. In , 2017 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2017, Toronto, ON, Canada, June 19–23, 2017 (S. 199–208). , IEEE Computer Soc.: Piscataway, NJ.
Nanni, F., Zhao, Y., Ponzetto, S. P. and Dietz, L. (2017). Enhancing domain-specific entity linking in DH. In , Digital Humanities 2017 : conference abstracts, McGill University & Université de Montréal, Montréal, Canada, August 8–11, 2017 (S. 768–769). , McGill Université ; Université de Montréal: Montréal.
Rovera, M., Nanni, F., Ponzetto, S. P. and Goy, A. (2017). Domain-specific named entity disambiguation in historical memoirs. In , CLiC-it 2017 : proceedings of the Fourth Italian Conference on Computational Linguistics, Rome, Italy, December 11–13, 2017 (S. Paper 20). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Glavaš, G., Nanni, F. and Ponzetto, S. P. (2016). Unsupervised text segmentation using semantic relatedness graphs. In , *SEM 2016: The Fifth Joint Conference on Lexical and Computational Semantics : proceedings of the conference ; August 11–12 2016, Berlin, Germany (S. 125–130). Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics, Association for Computational Linguistics: Stroudsburg, Pa..
Nanni, F., Ponzetto, S. P. and Dietz, L. (2016). Entity relatedness for retrospective analyses of global events. In , NLP+CSS workshop at Web Science 2016 : May 22, 2016, Hannover, Germany : accepted papers (S. 1–5). , ACM: New York, NY.
Nanni, F. and Ruiz Fabo, P. (2016). Entities as topic labels : improving topic interpretability and evaluability combining Entity Linking and Labeled LDA. In , Digital Humanities 2016 Conference Abstracts (S. 632–635). , Jagiellonian University & Pedagogical University: Kraków.
Nanni, F., Zirn, C., Glavaš, G., Eichorst, J. and Ponzetto, S. P. (2016). TopFish: topic-based analysis of political position in US electoral campaigns. In , PolText 2016 : The International Conference on the Advances in Computational Analysis of Political Text : proceedings of the conference : sponsored by the European Social Fund, Operational Programme Efficient Human Resources 2014–2020 (S. 61–67). , University of Zagreb: Zagreb.
Zirn, C., Glavaš, G., Nanni, F., Eichorts, J. and Stuckenschmidt, H. (2016). Classifying topics and detecting topic shifts in political manifestos. In , PolText 2016 : The International Conference on the Advances in Computational Analysis of Political Text : proceedings of the conference : sponsored by the European Social Fund, Operational Programme Efficient Human Resources 2014–2020 (S. 88–93). , University of Zagreb: Zagreb.
Nanni, F. (2014). Managing educational information on university websites : a proposal for Unibo.it. In , Collaborative research practices and shared infrastructures for humanities computing : 2. AIUCD annual conference, AIUCD 2013 : Padua, Italy, 11–12 December 2013 : proceedings of revised papers (S. 279–286). , Cleup: Padova.

Nanni, F. (2018). Collecting primary sources from web archives: A tale of scarcity and abundance. In The SAGE handbook of web history (S. 112–124). Los Angeles [u.a.]: Sage Publishing.
Chakraborty, A. and Nanni, F. (2017). The changing digital faces of science museums: A diachronic analysis of museum websites. In Web 25 : histories from the first 25 years of the World Wide Web (S. 157–172). Bern ; Berlin ; New York, NY [u.a.]: Peter Lang.