helmy-elrais / RoBERT_Recurrence_over_BERTLinks
pyTorch implementation of Recurrence over BERT (RoBERT) based on this paper https://arxiv.org/abs/1910.10781 and comparison with pyTorch implementation of other Hierarchical Methods (Mean Pooling and Max Pooling) and Truncation Methods (Head Only and Tail Only) presented in this paper https://arxiv.org/abs/1905.05583
☆82Updated 2 years ago
Alternatives and similar repositories for RoBERT_Recurrence_over_BERT
Users that are interested in RoBERT_Recurrence_over_BERT are comparing it to the libraries listed below
Sorting:
- [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
- ☆42Updated 3 years ago
- ☆59Updated 2 years ago
- A repo to explore different NLP tasks which can be solved using T5☆172Updated 4 years ago
- A Natural Language Inference (NLI) model based on Transformers (BERT and ALBERT)☆132Updated last year
- architectures and pre-trained models for long document classification.☆155Updated 4 years ago
- ☆87Updated 3 years ago
- Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper☆134Updated 2 years ago
- Main repository for "CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters"☆201Updated last year
- Implementation of Self-adjusting Dice Loss from "Dice Loss for Data-imbalanced NLP Tasks" paper☆108Updated 4 years ago
- https://arxiv.org/pdf/1909.04054☆79Updated 2 years ago
- Named Entity Recognition with Pretrained XLM-RoBERTa☆90Updated 4 years ago
- Self-supervised NER prototype - updated version (69 entity types - 17 broad entity groups). Uses pretrained BERT models with no fine tuni…☆78Updated 3 years ago
- A simple recipe for training and inferencing Transformer architecture for Multi-Task Learning on custom datasets. You can find two approa…☆96Updated 3 years ago
- Research framework for low resource text classification that allows the user to experiment with classification models and active learning…☆101Updated 3 years ago
- ☆345Updated 4 years ago
- Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in …☆125Updated 5 years ago
- A library to conduct ranking experiments with transformers.☆160Updated 2 years ago
- A long version of BART model based on Longformer model☆23Updated 2 years ago
- Code for SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics (ACL'2020).☆80Updated 4 years ago
- Lexical Simplification with Pretrained Encoders☆70Updated 4 years ago
- State of the art Semantic Sentence Embeddings☆99Updated 3 years ago
- This shows how to fine-tune Bert language model and use PyTorch-transformers for text classififcation☆71Updated 5 years ago
- Enhancing the BERT training with Semi-supervised Generative Adversarial Networks☆228Updated 2 years ago
- Collection of NLP model explanations and accompanying analysis tools☆144Updated 2 years ago
- [ACL-IJCNLP 2021] Automated Concatenation of Embeddings for Structured Prediction☆309Updated 2 years ago
- ☆121Updated 5 years ago
- Fine-tune transformers with pytorch-lightning☆44Updated 3 years ago
- BERTserini☆26Updated 2 years ago
- The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to o…☆380Updated 2 years ago