Search Results for author: Sardar Hamidian

Found 6 papers, 0 papers with code

Active Learning for Rumor Identification on Social Media

no code implementations Findings (EMNLP) 2021 Parsa Farinneya, Mohammad Mahdi Abdollah Pour, Sardar Hamidian, Mona Diab

We discuss the impact of multiple classifiers on a limited amount of annotated data followed by an interactive approach to gradually update the models by adding the least certain samples (LCS) from the pool of unlabeled data.

Active Learning Transfer Learning

Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users

no code implementations27 Mar 2024 Yejin Kim, Scott Rome, Kevin Foley, Mayur Nankani, Rimon Melamed, Javier Morales, Abhay Yadav, Maria Peifer, Sardar Hamidian, H. Howie Huang

It is essential to provide recommendations that are both personalized and diverse, rather than solely relying on achieving high rank-based performance, such as Click-through Rate, Recall, etc.

Rumor Detection and Classification for Twitter Data

no code implementations25 Nov 2019 Sardar Hamidian, Mona T Diab

We achieve and f-measure of over 0. 82 in RDC task in mixed rumors data set and 84 percent in a single rumor data set using a two-step classification approach.

Classification General Classification +1

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