no code implementations • EMNLP 2021 • Simon Suster, Pieter Fivez, Pietro Totis, Angelika Kimmig, Jesse Davis, Luc De Raedt, Walter Daelemans
While solving math word problems automatically has received considerable attention in the NLP community, few works have addressed probability word problems specifically.
no code implementations • 30 Aug 2023 • Francesca Toni, Nico Potyka, Markus Ulbricht, Pietro Totis
ProbLog is a popular probabilistic logic programming language/tool, widely used for applications requiring to deal with inherent uncertainties in structured domains.
no code implementations • 3 Apr 2023 • Pietro Totis, Angelika Kimmig, Luc De Raedt
The first contribution of this paper is a novel interpretation of probabilistic argumentation frameworks as probabilistic logic programs.
1 code implementation • 16 May 2022 • Rafael Kiesel, Pietro Totis, Angelika Kimmig
We introduce Second Level Algebraic Model Counting (2AMC) as a generic framework for these kinds of problems.
no code implementations • 5 Oct 2021 • Pietro Totis, Angelika Kimmig, Luc De Raedt
Therefore, the key contribution of this paper are: a more general semantics for ProbLog programs, its implementation into a probabilistic programming framework for both inference and parameter learning, and a novel approach to probabilistic argumentation problems based on such framework.