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2020 – today
- 2024
[c5]Rajarshi Bhowmik, Marco Ponza, Atharva Tendle, Anant Gupta, Rebecca Jiang, Xingyu Lu, Qian Zhao, Daniel Preotiuc-Pietro:
Leveraging Contextual Information for Effective Entity Salience Detection. NAACL-HLT (Findings) 2024: 395-408- 2023
- [i3]Rajarshi Bhowmik, Marco Ponza, Atharva Tendle, Anant Gupta, Rebecca Jiang, Xingyu Lu, Qian Zhao, Daniel Preotiuc-Pietro:
Leveraging Contextual Information for Effective Entity Salience Detection. CoRR abs/2309.07990 (2023) - 2021
- [c4]Marco Ponza, Diego Ceccarelli, Paolo Ferragina, Edgar Meij, Sambhav Kothari:
Contextualizing Trending Entities in News Stories. WSDM 2021: 346-354 - 2020
- [j3]Marco Ponza, Paolo Ferragina
, Soumen Chakrabarti:
On Computing Entity Relatedness in Wikipedia, with Applications. Knowl. Based Syst. 188 (2020)
2010 – 2019
- 2019
- [b1]Marco Ponza:
Algorithms for Knowledge and Information Extraction in Text with Wikipedia. University of Pisa, Italy, 2019 - [j2]Marco Ponza, Paolo Ferragina, Francesco Piccinno:
Swat: A system for detecting salient Wikipedia entities in texts. Comput. Intell. 35(4): 858-890 (2019) - [j1]Paolo Cifariello, Paolo Ferragina, Marco Ponza:
Wiser: A semantic approach for expert finding in academia based on entity linking. Inf. Syst. 82: 1-16 (2019) - 2018
- [c3]Marco Ponza, Luciano Del Corro, Gerhard Weikum:
Facts That Matter. EMNLP 2018: 1043-1048 - [i2]Marco Ponza, Paolo Ferragina, Francesco Piccinno:
SWAT: A System for Detecting Salient Wikipedia Entities in Texts. CoRR abs/1804.03580 (2018) - [i1]Paolo Cifariello, Paolo Ferragina, Marco Ponza:
WISER: A Semantic Approach for Expert Finding in Academia based on Entity Linking. CoRR abs/1805.03947 (2018) - 2017
- [c2]Marco Ponza, Paolo Ferragina, Soumen Chakrabarti:
A Two-Stage Framework for Computing Entity Relatedness in Wikipedia. CIKM 2017: 1867-1876 - [c1]Marco Ponza, Paolo Ferragina, Francesco Piccinno:
Document Aboutness via Sophisticated Syntactic and Semantic Features. NLDB 2017: 441-453
Coauthor Index
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