Explainable Cross-Topic Stance Detection for Search Results

Author:

Draws Tim1ORCID,Natesan Ramamurthy Karthikeyan2ORCID,Baldini Ioana2ORCID,Dhurandhar Amit2ORCID,Padhi Inkit2ORCID,Timmermans Benjamin3ORCID,Tintarev Nava4ORCID

Affiliation:

1. Delft University of Technology, Netherlands

2. IBM Research, USA

3. IBM, Netherlands

4. University of Maastricht, Netherlands

Publisher

ACM

Reference138 articles.

1. Rob Abbott , Brian Ecker , Pranav Anand , and Marilyn Walker . 2016 . Internet Argument Corpus 2.0: An SQL schema for Dialogic Social Media and the Corpora to go with it . In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16) . European Language Resources Association (ELRA), Portorož, Slovenia, 4445–4452. https://aclanthology.org/L16-1704 Rob Abbott, Brian Ecker, Pranav Anand, and Marilyn Walker. 2016. Internet Argument Corpus 2.0: An SQL schema for Dialogic Social Media and the Corpora to go with it. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16). European Language Resources Association (ELRA), Portorož, Slovenia, 4445–4452. https://aclanthology.org/L16-1704

2. Stance Classification of Twitter Debates

3. Abdulrahman  I. Al-Ghadir , Aqil  M. Azmi , and Amir Hussain . 2021. A novel approach to stance detection in social media tweets by fusing ranked lists and sentiments. Information Fusion 67 (March 2021 ), 29–40. https://doi.org/10.1016/j.inffus.2020.10.003 10.1016/j.inffus.2020.10.003 Abdulrahman I. Al-Ghadir, Aqil M. Azmi, and Amir Hussain. 2021. A novel approach to stance detection in social media tweets by fusing ranked lists and sentiments. Information Fusion 67 (March 2021), 29–40. https://doi.org/10.1016/j.inffus.2020.10.003

4. Your Stance is Exposed! Analysing Possible Factors for Stance Detection on Social Media

5. Stance detection on social media: State of the art and trends;Dayel Abeer;Information Processing & Management,2021

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