Publications

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). Full paper, acceptance rate 18.6%.

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Marco Ponza, Paolo Ferragina, Soumen Chakrabarti (2020). On Computing Entity Relatedness in Wikipedia, with Applications. Knowledge-Based Systems, Elsevier. Journal paper, impact factor 5.35.

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Marco Ponza, Paolo Ferragina, Francesco Piccinno (2019). SWAT: A System for Detecting Salient Wikipedia Entities in Texts. Computational Intelligence, Wiley-Blackwell Publishing. Journal paper, impact factor 0.77.

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Paolo Cifariello, Paolo Ferragina, Marco Ponza (2019). WISER: A Semantic Approach for Expert Finding in Academia based on Entity Linking. Information Systems, Elsevier. Journal paper, impact factor 2.67.

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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). Short paper, acceptance rate 23.2%.

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

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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). Full paper, acceptance rate 20%.

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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). Full paper, acceptance rate 17%.

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