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A Probabilistic-Logic based Commonsense Representation Framework for
  Modelling Inferences with Multiple Antecedents and Varying Likelihoods

A Probabilistic-Logic based Commonsense Representation Framework for Modelling Inferences with Multiple Antecedents and Varying Likelihoods

30 November 2022
Shantanu Jaiswal
Liu Yan
Dongkyu Choi
Kenneth Kwok
ArXivPDFHTML

Papers citing "A Probabilistic-Logic based Commonsense Representation Framework for Modelling Inferences with Multiple Antecedents and Varying Likelihoods"

3 / 3 papers shown
Title
ComFact: A Benchmark for Linking Contextual Commonsense Knowledge
ComFact: A Benchmark for Linking Contextual Commonsense Knowledge
Silin Gao
Jena D. Hwang
Saya Kanno
Hiromi Wakaki
Yuki Mitsufuji
Antoine Bosselut
HILM
30
16
0
23 Oct 2022
Commonsense Knowledge Reasoning and Generation with Pre-trained Language
  Models: A Survey
Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey
Prajjwal Bhargava
Vincent Ng
ReLM
LRM
29
61
0
28 Jan 2022
Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks
Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks
Prithviraj Sen
B. W. Carvalho
Ryan Riegel
Alexander G. Gray
NAI
AI4CE
74
53
0
06 Dec 2021
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