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Zero-Shot Text Classification Guided by Dynamic Enhanced Labels

https://doi.org/10.2139/ssrn.4837243
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inferredcites →https://doi.org/10.1016/j.neunet.2022.01.007openalex-extracted
Cross-modal distribution alignment embedding network for generalized zero-shot learning
inferredcites →https://doi.org/10.1016/j.neunet.2023.10.025openalex-extracted
Adaptive class augmented prototype network for few-shot relation extraction
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-extracted
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1145/3477495.3531803openalex-extracted
A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism
inferredcites →https://doi.org/10.1145/3560815openalex-extracted
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
inferredcites →https://doi.org/10.18653/v1/2021.acl-short.99openalex-extracted
Issues with Entailment-based Zero-shot Text Classification
inferredcites →https://doi.org/10.18653/v1/2021.findings-emnlp.244openalex-extracted
Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.214openalex-extracted
Nearest Neighbor Zero-Shot Inference
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.509openalex-extracted
Don’t Prompt, Search! Mining-based Zero-Shot Learning with Language Models
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.801openalex-extracted
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
inferredcites →https://doi.org/10.18653/v1/2022.findings-emnlp.512openalex-extracted
Prompt-learning for Fine-grained Entity Typing
inferredcites →https://doi.org/10.18653/v1/2023.acl-long.869openalex-extracted
Pre-trained Language Models Can be Fully Zero-Shot Learners
inferredcites →https://doi.org/10.18653/v1/2023.acl-srw.4openalex-extracted
Prompt-based Zero-shot Text Classification with Conceptual Knowledge
inferredcites →https://doi.org/10.18653/v1/2023.eacl-main.22openalex-extracted
A weakly supervised textual entailment approach to zero-shot text classification
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.853openalex-extracted
The Benefits of Label-Description Training for Zero-Shot Text Classification
inferredcites →https://doi.org/10.18653/v1/2023.findings-acl.69openalex-extracted
CLIPText: A New Paradigm for Zero-shot Text Classification
inferredcites →https://doi.org/10.18653/v1/d18-1348openalex-extracted
Zero-shot User Intent Detection via Capsule Neural Networks
inferredcites →https://doi.org/10.18653/v1/d19-1404openalex-extracted
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach
inferredcites →https://doi.org/10.18653/v1/e17-1104openalex-extracted
Very Deep Convolutional Networks for Text Classification
inferredcites →https://doi.org/10.18653/v1/n19-1108openalex-extracted
Integrating Semantic Knowledge to Tackle Zero-shot Text Classification
inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-extracted
Glove: Global Vectors for Word Representation
inferredcites →https://doi.org/10.48550/arxiv.1301.3781openalex-extracted
Efficient Estimation of Word Representations in Vector Space
inferredcites →https://doi.org/10.48550/arxiv.1509.01626openalex-extracted
Character-level Convolutional Networks for Text Classification
inferredcites →https://doi.org/10.48550/arxiv.1706.03762openalex-extracted
Attention Is All You Need
inferredcites →https://doi.org/10.48550/arxiv.1712.05972openalex-extracted
Train Once, Test Anywhere: Zero-Shot Learning for Text Classification
inferredcites →https://doi.org/10.48550/arxiv.1805.10190openalex-extracted
Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces
inferredcites →https://doi.org/10.48550/arxiv.1809.00385openalex-extracted
Zero-shot User Intent Detection via Capsule Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1810.04805openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1903.12626openalex-extracted
Integrating Semantic Knowledge to Tackle Zero-shot Text Classification
inferredcites →https://doi.org/10.48550/arxiv.2005.14165openalex-extracted
Language Models are Few-Shot Learners
inferredcites →https://doi.org/10.48550/arxiv.2010.11929openalex-extracted
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
inferredcites →https://doi.org/10.48550/arxiv.2103.00020openalex-extracted
Learning Transferable Visual Models From Natural Language Supervision
inferredcites →https://doi.org/10.48550/arxiv.2109.01652openalex-extracted
Finetuned Language Models Are Zero-Shot Learners
inferredcites →https://doi.org/10.48550/arxiv.2109.03564openalex-extracted
NSP-BERT: A Prompt-based Few-Shot Learner Through an Original Pre-training Task--Next Sentence Prediction
inferredcites →https://doi.org/10.48550/arxiv.2202.04538openalex-extracted
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
inferredcites →https://doi.org/10.48550/arxiv.cs/0506075openalex-extracted
Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales
inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
inferredcites →https://doi.org/10.4230/lipics.giscience.2023.43openalex-snapshot
Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-snapshot
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
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