Open AccessCausal graph extraction from news: a comparative study of time-series causality learning techniques
Author(s) -
Mariano Maisonnave,
Fernando Delbianco,
Fernando Tohmé,
Evangelos Milios,
Ana Gabriela Maguitman
Publication year - 2022
Publication title -
peerj computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.806
H-Index - 24
ISSN - 2376-5992
DOI - 10.7717/peerj-cs.1066
Subject(s) - causal structure , computer science , causality (physics) , machine learning , graph , artificial intelligence , time series , causal inference , event (particle physics) , natural language processing , theoretical computer science , data mining , information retrieval , data science , econometrics , mathematics , physics , quantum mechanics
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