3 papers
cs.LG2025
Constrained Non-negative Matrix Factorization for Guided Topic Modeling of Minority Topics
Seyedeh Fatemeh Ebrahimi, Jaakko Peltonen
Topic models often fail to capture low-prevalence, domain-critical themes, so-called minority topics, such as mental health themes in online comments. While some existing methods c…
cs.CL2024
Sharif-STR at SemEval-2024 Task 1: Transformer as a Regression Model for Fine-Grained Scoring of Textual Semantic Relations
Seyedeh Fatemeh Ebrahimi, Karim Akhavan Azari, Amirmasoud Iravani +3
Semantic Textual Relatedness holds significant relevance in Natural Language Processing, finding applications across various domains. Traditionally, approaches to STR have relied o…
cs.CL2024
Sharif-MGTD at SemEval-2024 Task 8: A Transformer-Based Approach to Detect Machine Generated Text
Seyedeh Fatemeh Ebrahimi, Karim Akhavan Azari, Amirmasoud Iravani +4
Detecting Machine-Generated Text (MGT) has emerged as a significant area of study within Natural Language Processing. While language models generate text, they often leave discerni…