BAS: An Answer Selection Method Using BERT Language Model
BAS: An Answer Selection Method Using BERT Language Model

Jamshid Mozafari; Afsaneh Fatemi; Mohammad Ali Nematbakhsh

Volume 8, Issue 2 , July 2021, , Pages 1-18

http://dx.doi.org/10.22108/jcs.2021.128002.1066

Abstract
  In recent years, Question Answering systems have become more popular and widely used by users. Despite the increasing popularity of these systems, their performance is not even sufficient ...  Read More
Mining Association Rules from Semantic Web Data without User Intervention
Mining Association Rules from Semantic Web Data without User Intervention

Reza Ramezani; Mohammad Ali Nematbakhsh; Mohamad Saraee

Volume 7, Issue 1 , January 2020, , Pages 81-94

http://dx.doi.org/10.22108/jcs.2020.121763.1046

Abstract
  With the introduction and standardization of the semantic web as the third generation of the web, this technology has attracted and received more human attention than ever. Thus, the ...  Read More
Identifying Explicit Features of Persian Comments
Identifying Explicit Features of Persian Comments

Atefeh Mohammadi; Mohammad-Reza Pajoohan; Morteza Montazeri; MohammadAli Nematbakhsh

Volume 6, Issue 1 , January 2019, , Pages 1-11

http://dx.doi.org/10.22108/jcs.2019.112489.1009

Abstract
  Recently, the approach towards mining various opinions on weblogs, forums and websites has gained attentions and interests of numerous researchers. In this regard, feature-based opinion ...  Read More
MRAR: Mining Multi-Relation Association Rules
MRAR: Mining Multi-Relation Association Rules

Reza Ramezani; Mohamad Saraee; Mohammad Ali Nematbakhsh

Volume 1, Issue 2 , April 2014, , Pages 133-158

Abstract
  In this paper, we introduce a new class of association rules (ARs) named"Multi-Relation Association Rules" which in contrast to primitive ARs (thatare usually extracted from multi-relational ...  Read More