whitepurple / HBM-loss-for-HTC
[ACL 2024 Findings] Hierarchy-aware Biased Bound Margin Loss Function for Hierarchical Text Classification
☆14Updated 5 months ago
Alternatives and similar repositories for HBM-loss-for-HTC:
Users that are interested in HBM-loss-for-HTC are comparing it to the libraries listed below
- ☆14Updated last year
- Code for ACL 2023 paper "HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification"☆33Updated last year
- The code for our paper "Label-Specific Feature Augmentation for Long-Tailed Multi-Label Text Classification”☆14Updated last year
- ACL 2022(findings): A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings☆18Updated 3 years ago
- ☆20Updated 3 years ago
- Official PyTorch Implementation of SSMix (Findings of ACL 2021)☆62Updated 3 years ago
- Supervised Contrastive Learning for Downstream Optimized Sequence Representations☆27Updated 3 years ago
- Code for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation"☆157Updated 2 years ago
- Collection of scripts to pretrain T5 in unsupervised text, using PyTorch Lightning. CORD-19 pretraining provided as example.☆32Updated 3 years ago
- Hierarchy-aware Label Semantics Matching Network for Hierarchical Text Classification☆45Updated 2 years ago
- ☆35Updated 2 years ago
- Official Implementation for "Self-Gudied Contrastive Learning for BERT Sentence Representations (ACL 2021)"☆27Updated 2 years ago
- LREC-COLING 2024: DiffusionABSA: Let’s Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models☆21Updated 5 months ago
- MINER: Mutual Information based Named Entity Recognition☆38Updated 2 years ago
- ☆61Updated 2 years ago
- The code for our NAACL 2021 paper "HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization".☆9Updated 3 years ago
- ☆15Updated last year
- Official Repository for CLRCMD (Appear in ACL2022)☆40Updated 2 years ago
- [ACL 2023] The code for our ACL'23 paper Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Pr…☆22Updated 10 months ago
- [EMNLP 2024] This is the code for our paper "BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers".☆21Updated 6 months ago
- ☆35Updated last year
- [NAACL 2022] Contrastive Learning for Prompt-based Few-shot Language Learners☆22Updated 2 years ago
- Tool for converting LLMs from uni-directional to bi-directional by removing causal mask for tasks like classification and sentence embedd…☆57Updated 3 months ago
- WideMLP for Text Classification☆29Updated 7 months ago
- ☆22Updated 2 years ago
- A curated list of papers for multi-label classification.☆70Updated 10 months ago
- E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition☆22Updated last year
- This is the official code for paper: [PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs]☆35Updated 7 months ago
- ☆12Updated last year
- RAN: Recurrent Attention Networks for Long-text Modeling | Findings of ACL23☆22Updated last year