Paper Info
Title
Causality And Imperfect Causality From Texts: A Frame For Causality In Social Sciences
Abstract
The focus of this paper is the study of causality in both its crisp and approximate forms. Crisp causality is characterized by some properties and modalities and is related to semantic implications. This paper presents a program that extracts causal and conditional sentences with causal content from several texts. The examples extracted show that, even in scientific texts, causality can be imprecise or imperfect, as shown by the linguistic modifiers or the fuzzy quantifiers embedded in them. Quantum mechanics introduces imprecision in physics, but social sciences are the disciplines that show more circumstantial and imperfect links between cause and effect. In social sciences, there are two theoretical paradigms to understanding imperfect causality: (i) cause as an 'ideal type', from Weber, (ii) cause as a 'family resemblance predicate', from Anscombe, a follower of Wittgenstein's philosophy. Our work provides two short exemplifications of these paradigms using the causal or conditional sentences retrieved from texts of different genres.
Year
DOI
Venue
2010
10.1109/FUZZY.2010.5584863
2010 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2010)
Keywords
Field
DocType
prototypes,causality,quantum theory,physics,social science,law,computational linguistics,information retrieval,quantum mechanics,social sciences,materials,text analysis,content management
Social science,Family resemblance,Causal reasoning,Causality,Imperfect,Conditional sentence,Computer science,Computational linguistics,Artificial intelligence,Predicate (grammar),Ideal type,Machine learning
Conference
ISSN
Citations 
PageRank 
1098-7584
1
0.37
References 
Authors
2
3
Name
Order
Citations
PageRank
Alejandro Sobrino1309.59
José Angel Olivas26512.87
Cristina Puente3195.60