uzaymacar / comparatively-finetuning-bertLinks
Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in PyTorch.
☆125Updated 5 years ago
Alternatives and similar repositories for comparatively-finetuning-bert
Users that are interested in comparatively-finetuning-bert are comparing it to the libraries listed below
Sorting:
- architectures and pre-trained models for long document classification.☆155Updated 4 years ago
- Framework to learn Named Entity Recognition models without labelled data using weak supervision.☆124Updated 4 years ago
- A comparison and discussion of different NLP methods for 5-class sentiment classification on the SST-5 dataset.☆170Updated 4 months ago
- BERT fine-tuning for POS tagging task (Keras)☆79Updated 6 years ago
- [NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self…☆204Updated 3 years ago
- Enhancing the BERT training with Semi-supervised Generative Adversarial Networks☆228Updated 2 years ago
- Enriching BERT with Knowledge Graph Embedding for Document Classification (PyTorch)☆160Updated 5 years ago
- ☆83Updated 4 years ago
- Framework for weakly supervised deep sequence taggers, focused on named entity recognition☆78Updated 2 years ago
- pyTorch implementation of Recurrence over BERT (RoBERT) based on this paper https://arxiv.org/abs/1910.10781 and comparison with pyTorch …☆82Updated 2 years ago
- ☆87Updated 3 years ago
- ☆45Updated 2 years ago
- Exploring the simple sentence similarity measurements using word embeddings☆99Updated last year
- ☆121Updated 5 years ago
- Materials for the EMNLP 2020 Tutorial on "Interpreting Predictions of NLP Models"☆199Updated 4 years ago
- Python code for various NLP metrics☆168Updated 5 years ago
- An implementation of a full named-entity evaluation metrics based on SemEval'13 Task 9 - not at tag/token level but considering all the t…☆221Updated last year
- Code for unsupervised aspect extraction, using Keras and its Backends☆91Updated 2 years ago
- Minimal Interactive Attention Visualization☆140Updated 5 years ago
- https://arxiv.org/pdf/1909.04054☆79Updated 2 years ago
- Interpretable Evaluation for (Almost) All NLP Tasks☆195Updated 2 years ago
- Document ranking via sentence modeling using BERT☆145Updated 2 years ago
- IEEE/ACM TASLP 2020: SBERT-WK: A Sentence Embedding Method By Dissecting BERT-based Word Models☆180Updated 4 years ago
- Massively Multilingual Transfer for NER☆86Updated 3 years ago
- ☆59Updated last year
- Variational Methods for Pretraining in Resource-limited Environments☆174Updated 5 years ago
- A Natural Language Inference (NLI) model based on Transformers (BERT and ALBERT)☆132Updated last year
- Awesome Neural Adaptation in Natural Language Processing. A curated list. https://arxiv.org/abs/2006.00632☆266Updated 4 years ago
- Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Process…☆251Updated 7 years ago
- Dataset for the Emerging & Novel Entity NER task (WNUT '17)☆111Updated 3 years ago