Temporal Ordinance Mining for Event-Driven Social Media Reaction Analytics-Reference-Cited by-同舟云学术

Temporal Ordinance Mining for Event-Driven Social Media Reaction Analytics

Published:2023-04-30 Issue: Volume: Page:
ISSN:
Container-title:Companion Proceedings of the ACM Web Conference 2023
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Author:

Varde Aparna S.¹^ORCID,De Melo Gerard²^ORCID,Dong Boxiang³^ORCID

Affiliation:

1. Dept. of Computer Science; Clean Energy & Sustainability Analytics Center, Montclair State University, USA

2. AI & Intelligent Systems, HPI, University of Potsdam, Germany

3. Dept. of Computer Science, Montclair State University, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543873.3587674

Reference28 articles.

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5. X. Dong, T. Kumar Saha, K. Zhang, J. Tetreault, A. Jaimes, and G. de Melo. 2022. Temporal Event Reasoning using Multi-Source Auxiliary Learning Objectives. In ECIR. Springer-Verlag, 102–110.

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