coastalcph / Multi-Label-Classification-T5
Limitations of MultiLabel Conditional Generation
☆13Updated last year
Alternatives and similar repositories for Multi-Label-Classification-T5:
Users that are interested in Multi-Label-Classification-T5 are comparing it to the libraries listed below
- Source code for paper "Learning from Noisy Labels for Entity-Centric Information Extraction", EMNLP 2021☆55Updated 3 years ago
- Code for paper "ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models"☆17Updated last year
- Data Augmentation for Intent Classification with Off-the-Shelf Large Language Models is a ServiceNow Research project☆30Updated last year
- [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding☆64Updated 2 years ago
- Supervised Contrastive Learning for Downstream Optimized Sequence Representations☆27Updated 3 years ago
- [EMNLP 2023] Official Code of "JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Class…☆18Updated 10 months ago
- [NAACL 2022] Contrastive Learning for Prompt-based Few-shot Language Learners☆22Updated 2 years ago
- Data and code for ACL 2022 paper "MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data"☆42Updated 5 months ago
- A extension of Transformers library to include T5ForSequenceClassification class.☆38Updated last year
- Code for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation"☆157Updated 2 years ago
- The code and data for our paper (EMNLP 2023 findings) "Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition".☆33Updated 9 months ago
- ☆26Updated 2 years ago
- The source code of paper "PAIR-LEVEL SUPERVISED CONTRASTIVE LEARNING FOR NATURAL LANGUAGE INFERENCE" at ICASSP 2022.☆48Updated last year
- Code for ACL 2023 Paper: ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NER☆20Updated last year
- ☆116Updated 2 years ago
- ☆35Updated last year
- Hierarchical Models for long document encoding☆20Updated last year
- CokeBERT: Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models☆31Updated last year
- Collection of scripts to pretrain T5 in unsupervised text, using PyTorch Lightning. CORD-19 pretraining provided as example.☆32Updated 3 years ago
- [ICML 2023] Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning☆41Updated last year
- Prompt-learning methods used BERT4Keras (PET, EFL and NSP-BERT), both for Chinese and English.☆29Updated 2 years ago
- in this project, I've implemented the Facebook paper about fine tuning RoBERTa with contrastive loss.☆58Updated 3 years ago
- This is the official codebase for KDD 2021 paper Generalized Zero-Shot Extreme Multi-Label Learning☆23Updated 2 years ago
- Source code for ACL 2022 Paper "Prompt-based Data Augmentation for Low-Resource NLU Tasks"☆69Updated 2 years ago
- The github repository for the paper at COLING 2025: Retrieval Augmented Instruction Tuning for Open NER with Large Language Models.☆19Updated 9 months ago
- Code for ACL 2022 paper "CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning"☆117Updated 2 years ago
- Mutual Information Predicts Hallucinations in Abstractive Summarization☆12Updated 2 years ago
- [Findings of EMNLP 2022] Holistic Sentence Embeddings for Better Out-of-Distribution Detection☆18Updated last year
- ☆22Updated 2 years ago
- WideMLP for Text Classification☆29Updated 8 months ago