ricardorei / lightning-text-classification
Minimalist implementation of a BERT Sentence Classifier with PyTorch Lightning, Transformers and PyTorch-NLP.
☆216Updated last year
Alternatives and similar repositories for lightning-text-classification:
Users that are interested in lightning-text-classification are comparing it to the libraries listed below
- SentAugment is a data augmentation technique for NLP that retrieves similar sentences from a large bank of sentences. It can be used in c…☆362Updated 3 years ago
- ☆344Updated 3 years ago
- architectures and pre-trained models for long document classification.☆154Updated 4 years ago
- Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classif…☆307Updated 4 years ago
- pyTorch implementation of Recurrence over BERT (RoBERT) based on this paper https://arxiv.org/abs/1910.10781 and comparison with pyTorch …☆80Updated 2 years ago
- Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper☆135Updated last year
- Pytorch Implementation of ALBERT(A Lite BERT for Self-supervised Learning of Language Representations)☆226Updated 3 years ago
- Interpretable Evaluation for (Almost) All NLP Tasks☆195Updated 2 years ago
- Implementation of Self-adjusting Dice Loss from "Dice Loss for Data-imbalanced NLP Tasks" paper☆107Updated 4 years ago
- On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines☆135Updated last year
- BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision☆291Updated 3 years ago
- Code associated with the Don't Stop Pretraining ACL 2020 paper☆529Updated 3 years ago
- Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling☆365Updated 4 years ago
- A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.☆177Updated 3 years ago
- IEEE/ACM TASLP 2020: SBERT-WK: A Sentence Embedding Method By Dissecting BERT-based Word Models☆178Updated 4 years ago
- Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)☆327Updated last year
- Enhancing the BERT training with Semi-supervised Generative Adversarial Networks☆227Updated 2 years ago
- ICML'2022: NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework☆259Updated last year
- [ACL 2021] Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval Learns Passage Retrieval, Too https://arxiv.o…☆603Updated 2 years ago
- Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data☆100Updated last year
- Multi-Task Deep Neural Networks for Natural Language Understanding☆161Updated last year
- Variational Methods for Pretraining in Resource-limited Environments☆174Updated 4 years ago
- Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive…☆429Updated last year
- A small repo showing how to easily use BERT (or other transformers) for inference☆99Updated 5 years ago
- Self-supervised NER prototype - updated version (69 entity types - 17 broad entity groups). Uses pretrained BERT models with no fine tuni…☆80Updated 2 years ago
- CharBERT: Character-aware Pre-trained Language Model (COLING2020)☆120Updated 4 years ago
- Enriching BERT with Knowledge Graph Embedding for Document Classification (PyTorch)☆158Updated 5 years ago
- Named Entity Recognition as Dependency Parsing☆348Updated last year
- GeDi: Generative Discriminator Guided Sequence Generation☆208Updated 2 years ago
- Builds wordpiece(subword) vocabulary compatible for Google Research's BERT☆228Updated 4 years ago