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05/12/2023
Asymmetric feature interaction for interpreting model predictions
In natural language processing (NLP), deep neural networks (DNNs) could ...
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01/04/2023
Learning Ambiguity from Crowd Sequential Annotations
Most crowdsourcing learning methods treat disagreement between annotator...
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09/20/2022
Modeling sequential annotations for sequence labeling with crowds
Crowd sequential annotations can be an efficient and cost-effective way ...
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09/20/2022
Weak Disambiguation for Partial Structured Output Learning
Existing disambiguation strategies for partial structured output learnin...
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09/20/2022
Partial sequence labeling with structured Gaussian Processes
Existing partial sequence labeling models mainly focus on max-margin fra...
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09/19/2022
Duration modeling with semi-Markov Conditional Random Fields for keyphrase extraction
Existing methods for keyphrase extraction need preprocessing to generate...
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05/15/2022
Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization
It is challenging to train a good intent classifier for a task-oriented ...
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11/03/2019
