IBM / intermediate-training-using-clusteringLinks
code for the paper "Cluster & Tune: Boost Cold Start Performance in Text Classification" for ACL2022
☆28Updated 3 years ago
Alternatives and similar repositories for intermediate-training-using-clustering
Users that are interested in intermediate-training-using-clustering are comparing it to the libraries listed below
Sorting:
- ☆59Updated 4 years ago
- On Generating Extended Summaries of Long Documents☆78Updated 4 years ago
- Corresponding code repo for the paper at COLING 2020 - ARGMIN 2020: "DebateSum: A large-scale argument mining and summarization dataset"☆55Updated 4 years ago
- Code for Paper "Target-oriented Fine-tuning for Zero-Resource Named Entity Recognition"☆20Updated 3 years ago
- 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.☆81Updated 3 years ago
- Open source library for few shot NLP☆78Updated 2 years ago
- ☆21Updated 4 years ago
- Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging☆69Updated 3 years ago
- Google's BigBird (Jax/Flax & PyTorch) @ 🤗Transformers☆49Updated 2 years ago
- Code for the paper: Saying No is An Art: Contextualized Fallback Responses for Unanswerable Dialogue Queries☆19Updated 4 years ago
- ☆30Updated 4 years ago
- Combining encoder-based language models☆11Updated 4 years ago
- Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper☆52Updated 2 years ago
- ☆68Updated 8 months ago
- diagNNose is a Python library that facilitates a broad set of tools for analysing hidden activations of neural models.☆82Updated 2 years ago
- Ranking of fine-tuned HF models as base models.☆36Updated 3 months ago
- A 🤗-style implementation of BERT using lambda layers instead of self-attention☆69Updated 5 years ago
- Fine-tune transformers with pytorch-lightning☆44Updated 3 years ago
- A lightweight but powerful library to build token indices for NLP tasks, compatible with major Deep Learning frameworks like PyTorch and …☆51Updated last year
- EMNLP 2021 Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections☆52Updated 4 years ago
- ☆75Updated 4 years ago
- Multitask Learning with Pretrained Transformers☆39Updated 4 years ago
- This repository contains the code for "BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Representations".☆64Updated 5 years ago
- Implementation, trained models and result data for the paper "Aspect-based Document Similarity for Research Papers" #COLING2020☆63Updated last year
- ☆40Updated 2 years ago
- A repository for our AAAI-2020 Cross-lingual-NER paper. Code will be updated shortly.☆47Updated 3 years ago
- Implementation of COCO-LM, Correcting and Contrasting Text Sequences for Language Model Pretraining, in Pytorch☆46Updated 4 years ago
- ☆18Updated 3 years ago
- Code for the Shortformer model, from the ACL 2021 paper by Ofir Press, Noah A. Smith and Mike Lewis.☆147Updated 4 years ago
- Implementation of Marge, Pre-training via Paraphrasing, in Pytorch☆76Updated 4 years ago