Search Results for author: Pietro Totis

Found 5 papers, 1 papers with code

Mapping probability word problems to executable representations

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.

Contextualised Word Representations Math +2

Understanding ProbLog as Probabilistic Argumentation

no code implementations30 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.

Abstract Argumentation

smProbLog: Stable Model Semantics in ProbLog for Probabilistic Argumentation

no code implementations3 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.

Efficient Knowledge Compilation Beyond Weighted Model Counting

1 code implementation16 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.

SMProbLog: Stable Model Semantics in ProbLog and its Applications in Argumentation

no code implementations5 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.

Probabilistic Programming

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