Cross-domain Text Classification with Multiple Domains and Disparate Label Sets

2016-08-01 · ACL 2016 8 · Himanshu Sharad Bhatt, Manjira Sinha, Shourya Roy

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Tasks

Cross-Domain Text ClassificationGeneral Classification Sentiment Analysis text-classification Text Classification Transfer Learning

Multinomial Adversarial Networks for Multi-Domain Text Classification

2018-02-15 · NAACL 2018 6 · Xilun Chen, Claire Cardie

Many text classification tasks are known to be highly domain-dependent. Unfortunately, the availability of training data can vary drastically across domains. Worse still, for some domains there may not be any annotated d…

Classification Cross-Domain Text Classification Domain Adaptation General Classification+3

Learning to Share by Masking the Non-shared for Multi-domain Sentiment Classification

2021-04-17 · Jianhua Yuan, Yanyan Zhao, Bing Qin, Ting Liu

Multi-domain sentiment classification deals with the scenario where labeled data exists for multiple domains but insufficient for training effective sentiment classifiers that work across domains. Thus, fully exploiting …

General Classification Multi-Domain Sentiment Classification Sentence Sentiment Analysis+1

Cross-Domain Few-Shot Classification via Inter-Source Stylization

2022-08-17 · Huali Xu, Shuaifeng Zhi, Li Liu

The goal of Cross-Domain Few-Shot Classification (CDFSC) is to accurately classify a target dataset with limited labelled data by exploiting the knowledge of a richly labelled auxiliary dataset, despite the differences b…

Classification Cross-Domain Few-Shot Domain Adaptation Inductive Bias

Domain Generalization for Text Classification with Memory-Based Supervised Contrastive Learning

2022-10-01 · COLING 2022 10 · Qingyu Tan, Ruidan He, Lidong Bing, Hwee Tou Ng

While there is much research on cross-domain text classification, most existing approaches focus on one-to-one or many-to-one domain adaptation. In this paper, we tackle the more challenging task of domain generalization…

Contrastive Learning Cross-Domain Text Classification Domain Adaptation Domain Generalization+3

Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains

2021-12-27 · Yuan-Chia Cheng, Ci-Siang Lin, Fu-En Yang, Yu-Chiang Frank Wang

Few-shot classification aims to carry out classification given only few labeled examples for the categories of interest. Though several approaches have been proposed, most existing few-shot learning (FSL) models assume t…

Classification Few-Shot Learning Generalized Few-Shot Classification Meta-Learning+1