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NLP Model Selection
NLP model selection guide to make it easier to select models. This is prescriptive in nature and has to be used with caution.
transfer-learning natural-language-processing neural-networks transformers
Neural Networks for NLP (CMU CS 11-747)
This class will start with a brief overview of neural networks, then spend the majority of the class demonstrating how to apply neural networks to ...
natural-language-processing course carnegie-mellon neural-networks
NLP for Developers: Shrinking Transformers | Rasa
In this video, Rasa Senior Developer Advocate Rachael will talk about different approaches to make transformer models smaller.
model-compression distillation pruning transformers
Generate Boolean (Yes/No) Questions From Any Content
Question generation algorithm trained on the BoolQ dataset using T5 text-to-text transformer model.
question-generation transformers huggingface t5
Self Supervised Representation Learning in NLP
An overview of self-supervised pretext tasks in Natural Language Processing
self-supervised-learning natural-language-processing tutorial article
Zero-Shot Learning for Text Classification
A visual summary of “Train Once, Test Anywhere” paper for zero-shot text classification
zero-shot-learning natural-language-processing tutorial article
T5 fine-tuning
A colab notebook to showcase how to fine-tune T5 model on various NLP tasks (especially non text-2-text tasks with text-2-text approach)
natural-language-processing transformers text-2-text t5
Tips for Successfully Training Transformers on Small Datasets
It turns out that you can easily train transformers on small datasets when you use tricks (and have the patience to train a very long time).
transformers small-datasets training ptb
Automatically Generate Multiple Choice Questions (MCQs)
Automatically Generate Multiple Choice Questions (MCQs) from any content with BERT Summarizer, Wordnet, and Conceptnet
question-generation bert wordnet conceptnet
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