research
∙
04/14/2022
Label Semantic Aware Pre-training for Few-shot Text Classification
In text classification tasks, useful information is encoded in the label...
share
research
∙
07/21/2021
Soft Layer Selection with Meta-Learning for Zero-Shot Cross-Lingual Transfer
Multilingual pre-trained contextual embedding models (Devlin et al., 201...
research
∙
04/14/2021
On the Robustness of Goal Oriented Dialogue Systems to Real-world Noise
Goal oriented dialogue systems, that interact in real-word environments,...
research
∙
01/14/2021
Structured Prediction as Translation between Augmented Natural Languages
We propose a new framework, Translation between Augmented Natural Langua...
research
∙
11/30/2020
Meta learning to classify intent and slot labels with noisy few shot examples
Recently deep learning has dominated many machine learning areas, includ...
research
∙
09/15/2020
Augmented Natural Language for Generative Sequence Labeling
We propose a generative framework for joint sequence labeling and senten...
research
∙
04/22/2020
Learning to Classify Intents and Slot Labels Given a Handful of Examples
Intent classification (IC) and slot filling (SF) are core components in ...
research
∙
02/03/2018
