scholarly journals A Bayesian Probabilistic Argumentation Framework for Learning from Online Reviews

Author(s):  
Kawsar Noor ◽  
Anthony Hunter
2020 ◽  
Vol 34 (03) ◽  
pp. 2846-2853 ◽  
Author(s):  
Anthony Hunter ◽  
Kawsar Noor

In the constellations approach to probabilistic argumentation, there is a probability distribution over the subgraphs of an argument graph, and this can be used to represent the uncertainty in the structure of the argument graph. In this paper, we consider how we can construct this probability distribution from data. We provide a language for data based on perspectives (opinions) on the structure of the graph, and we introduce a framework (based on general properties and some specific proposals) for aggregating these perspectives, and as a result obtaining a probability distribution that best reflects these perspectives. This can be used in applications such as summarizing collections of online reviews and combining conflicting reports.


Author(s):  
Gianvincenzo Alfano ◽  
Marco Calautti ◽  
Sergio Greco ◽  
Francesco Parisi ◽  
Irina Trubitsyna

Recently there has been an increasing interest in probabilistic abstract argumentation, an extension of Dung's abstract argumentation framework with probability theory. In this setting, we address the problem of computing the probability that a given argument is accepted. This is carried out by introducing the concept of probabilistic explanation for a given (probabilistic) extension. We show that the complexity of the problem is FP^#P-hard and propose polynomial approximation algorithms with bounded additive error for probabilistic argumentation frameworks where odd-length cycles are forbidden. This is quite surprising since, as we show, such kind of approximation algorithm does not exist for the related FP^#P-hard problem of computing the probability of the credulous acceptance of an argument, even for the special class of argumentation frameworks considered in the paper.


2019 ◽  
Vol 33 (1-2) ◽  
pp. 216-274
Author(s):  
Régis Riveret ◽  
Yang Gao ◽  
Guido Governatori ◽  
Antonino Rotolo ◽  
Jeremy Pitt ◽  
...  

2018 ◽  
Vol 2018 ◽  
pp. 200-200
Author(s):  
Kok Wei Khong ◽  
◽  
Fon Sim Ong ◽  
Babajide AbuBakr Muritala ◽  
Ken Kyid Yeoh

Author(s):  
Agne Bendaraviciute ◽  
Philipp Wassler ◽  
Thi Hong Hai Nguyen ◽  
Simon Thomas

This study was taken as the understanding of management responses remains scarcely understood in theory and practice, especially concerning consumer preferences. This study aims at examining consumer preferences of the action frames and language styles adopted in hotel management responses to online reviews. A multi-method approach, using discrete choice experiments followed by in-depth interviews, was employed. Findings show that past action frames in management responses are preferred by customers due to the certainty, trustworthiness and detailed information provided. Moreover, literal is favoured over figurative language style due to perceived professionalism and conciseness. The current study helps hotel management to further understand consumer preferences of management responses to online reviews, especially regarding action frames and language styles.


2018 ◽  
Author(s):  
Xu Guan ◽  
Yulan Wang ◽  
Zelong Yi ◽  
Ying-Ju Chen
Keyword(s):  

2020 ◽  
Author(s):  
Rajeev Kohli ◽  
Xiao Lei ◽  
Yeqing Zhou
Keyword(s):  

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