Papers by Mahsa Hosseini Khasheh Heyran
Active Few-Shot Learning for Text Classification (2025.naacl-long)
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Saeed Ahmadnia, Arash Yousefi Jordehi, Mahsa Hosseini Khasheh Heyran, Seyed Abolghasem Mirroshandel, Owen Rambow, Cornelia Caragea
| Challenge: | Recent advances in Large Language Models (LLMs) have boosted the use of Few-Shot Learning (FSL) methods in natural language processing. |
| Approach: | They propose a method that identifies effective support instances from the unlabeled pool and can work with different LLMs. |
| Outcome: | The proposed method improves on five tasks on which it is tested on five LLMs. |
Opinion Mining Using Pre-Trained Large Language Models: Identifying the Type, Polarity, Intensity, Expression, and Source of Private States (2024.lrec-main)
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Saeed Ahmadnia, Arash Yousefi Jordehi, Mahsa Hosseini Khasheh Heyran, SeyedAbolghasem Mirroshandel, Owen Rambow
| Challenge: | Existing research on opinion mining has focused on a small subset of the MPQA 2.0 dataset . a recent study focused on the subjective expressions of people who express opinions, sentiments, and attitudes toward targets. |
| Approach: | They propose to use MPQA 2.0 to analyze the entire dataset . they propose to provide a clean version of the MPQA Opinion Corpus in a more interpretable format . |
| Outcome: | The proposed methods establish high baselines for future work. |