Publications

Rajarshi Bhowmik, Marco Ponza, Atharva Tendle, Anant Gupta, Rebecca Jiang, Xingyu Lu, Qian Zhao, Daniel Preoțiuc-Pietro (2024). Leveraging Contextual Information for Effective Entity Salience Detection. In Findings of the 2024 North American Chapter of the Association for Computational Linguistics (NAACL 2024).

Marco Ponza, Diego Ceccarelli, Paolo Ferragina, Edgar Meij, Sambhav Kothari (2021). Contextualizing Trending Entities in News Stories. In the Proceedings of the 14th International Conference on Web Search and Data Mining (WSDM 2021).

PDF Dataset Poster Slides Video DOI

Marco Ponza, Paolo Ferragina, Soumen Chakrabarti (2020). On Computing Entity Relatedness in Wikipedia, with Applications. Knowledge-Based Systems, Elsevier.

PDF Code Dataset DOI

Marco Ponza, Paolo Ferragina, Francesco Piccinno (2019). SWAT: A System for Detecting Salient Wikipedia Entities in Texts. Computational Intelligence, Wiley-Blackwell Publishing.

PDF Project DOI

Paolo Cifariello, Paolo Ferragina, Marco Ponza (2019). WISER: A Semantic Approach for Expert Finding in Academia based on Entity Linking. Information Systems, Elsevier.

PDF Project DOI

Marco Ponza, Luciano Del Corro, Gerhard Waikum (2018). Facts That Matter. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018).

PDF Code Poster DOI

Marco Ponza (2018). Algorithms for Knowledge and Information Extraction in Text with Wikipedia. PhD Dissertation, University of Pisa. Defended on 08/03/2019.

Marco Ponza, Paolo Ferragina, Soumen Chakrabarti (2017). A Two-Stage Framework for Computing Entity Relatedness in Wikipedia. Proceedings of the Conference on Information and Knowledge Managements (CIKM 2017).

PDF Code Dataset Poster Slides DOI

Marco Ponza, Paolo Ferragina, Francesco Piccinno (2017). Document Aboutness via Sophisticated Syntactic and Semantic Features. International Conference on Applications of Natural Language to Information Systems (NLDB 2017).

PDF Project Slides DOI