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01/09/2023
Active Learning for Abstractive Text Summarization
Construction of human-curated annotated datasets for abstractive text su...
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09/28/2022
Medical Image Captioning via Generative Pretrained Transformers
The automatic clinical caption generation problem is referred to as prop...
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06/02/2022
NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization
The symptom checking systems inquire users for their symptoms and perfor...
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05/07/2022
Towards Computationally Feasible Deep Active Learning
Active learning (AL) is a prominent technique for reducing the annotatio...
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01/20/2021
Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates
Annotating training data for sequence tagging tasks is usually very time...
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05/31/2020
Neural Entity Linking: A Survey of Models based on Deep Learning
In this survey, we provide a comprehensive description of recent neural ...
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03/14/2020