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cs.CL2021★ 1 cited
Multi-View Active Learning for Short Text Classification in User-Generated Data
Payam Karisani, Negin Karisani, Li Xiong
Mining user-generated data often suffers from the lack of enough labeled data, short document lengths, and the informal user language. In this paper, we propose a novel active lear…
cs.CL2021
Semi-Supervised Text Classification via Self-Pretraining
Payam Karisani, Negin Karisani
We present a neural semi-supervised learning model termed Self-Pretraining. Our model is inspired by the classic self-training algorithm. However, as opposed to self-training, Self…
cs.CL2021
View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data
Payam Karisani, Jinho D. Choi, Li Xiong
We present an algorithm based on multi-layer transformers for identifying Adverse Drug Reactions (ADR) in social media data. Our model relies on the properties of the problem and t…