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We present a novel multiple-source unsupervised model for text classification under domain shift.
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Leveraging Sentiment Distributions to Distinguish Figurative From Literal Health Reports on Twitter , 1217–1227
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Adversarial Discriminative Domain Adaptation
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Did You Just Have a Heart Attack?: Towards Robust Detection of Personal Health Mentions in Social Media
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Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits
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Domain-Guided Task Decomposition with Self-Training for Detecting Personal Events in Social Media
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Multi-source distilling domain adaptation
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Multi-Target Domain Adaptation With Collaborative Consistency Learning
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View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data
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Semi-Supervised Text Classification via Self-Pretraining
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Contextual Multi-View Query Learning for Short Text Classification in User-Generated Data
Karisani, P.; Karisani, N.; and Xiong, L. 2021 · 2021
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