Yutai Hou | DeepAI

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∙ 04/19/2023

MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning

Prompt-based learning reformulates downstream tasks as cloze problems by...

0 Bohan Li, et al. ∙

∙ 02/04/2023

Semantic-Guided Image Augmentation with Pre-trained Models

Image augmentation is a common mechanism to alleviate data scarcity in c...

0 Bohan Li, et al. ∙

∙ 09/23/2022

MetaPrompting: Learning to Learn Better Prompts

Prompting method is regarded as one of the crucial progress for few-shot...

0 Yutai Hou, et al. ∙

∙ 05/25/2022

Language Anisotropic Cross-Lingual Model Editing

Pre-trained language models learn large amounts of knowledge from their ...

0 Yang Xu, et al. ∙

∙ 04/02/2022

Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging

Prompting methods recently achieve impressive success in few-shot learni...

0 Yutai Hou, et al. ∙

∙ 10/05/2021

Data Augmentation Approaches in Natural Language Processing: A Survey

As an effective strategy, data augmentation (DA) alleviates data scarcit...

0 Bohan Li, et al. ∙

∙ 09/27/2021

Discovering Drug-Target Interaction Knowledge from Biomedical Literature

The Interaction between Drugs and Targets (DTI) in human body plays a cr...

0 Yutai Hou, et al. ∙

∙ 12/13/2020

C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling

Slot filling, a fundamental module of spoken language understanding, oft...

0 Yutai Hou, et al. ∙

∙ 10/11/2020

Few-shot Learning for Multi-label Intent Detection

In this paper, we study the few-shot multi-label classification for user...

0 Yutai Hou, et al. ∙

∙ 09/17/2020

FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding

Few-learn learning (FSL) is one of the key future steps in machine learn...

10 Yutai Hou, et al. ∙

∙ 06/10/2020

Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network

In this paper, we explore the slot tagging with only a few labeled suppo...

0 Yutai Hou, et al. ∙

∙ 04/27/2020

Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting

Deep pretrained language models have achieved great success in the way o...

0 Sanyuan Chen, et al. ∙

∙ 09/10/2019

A Corpus-free State2Seq User Simulator for Task-oriented Dialogue

Recent reinforcement learning algorithms for task-oriented dialogue syst...

0 Yutai Hou, et al. ∙

∙ 06/20/2019

Few-Shot Sequence Labeling with Label Dependency Transfer

Few-shot sequence labeling faces a unique challenge compared with the ot...

0 Yutai Hou, et al. ∙

∙ 07/04/2018

Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding

In this paper, we study the problem of data augmentation for language un...

0 Yutai Hou, et al. ∙

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