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05/08/2023
LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization
Regularization techniques are crucial to improving the generalization pe...
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12/12/2022
Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging
Knowledge Distillation (KD) is a commonly used technique for improving t...
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04/15/2022
CILDA: Contrastive Data Augmentation using Intermediate Layer Knowledge Distillation
Knowledge distillation (KD) is an efficient framework for compressing la...
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11/09/2021
NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation
Slot-filling and intent detection are the backbone of conversational age...
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09/21/2021
RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation
Intermediate layer knowledge distillation (KD) can improve the standard ...
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09/21/2021
Knowledge Distillation with Noisy Labels for Natural Language Understanding
Knowledge Distillation (KD) is extensively used to compress and deploy l...
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09/05/2021
End-to-End Self-Debiasing Framework for Robust NLU Training
Existing Natural Language Understanding (NLU) models have been shown to ...
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07/24/2021
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition
In this work, we examine the ability of NER models to use contextual inf...
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09/24/2018
WiRe57 : A Fine-Grained Benchmark for Open Information Extraction
We build a reference for the task of Open Information Extraction, on fiv...
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06/13/2018
Extracting Parallel Sentences with Bidirectional Recurrent Neural Networks to Improve Machine Translation
Parallel sentence extraction is a task addressing the data sparsity prob...
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06/09/2018
Robust Lexical Features for Improved Neural Network Named-Entity Recognition
Neural network approaches to Named-Entity Recognition reduce the need fo...
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09/28/2017
