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PyTorch Transformers Tutorials
A set of annotated Jupyter notebooks, that give user a template to fine-tune transformers model to downstream NLP tasks such as classification, NER etc.
transformers text-classification text-summarization named-entity-recognition
Transformers - Hugging Face
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
transformers huggingface attention bert
TeachEasy: Web app for Text Summarization & Q/A generation
An intuitive Streamlit based web app for Text Summarization and Question Answer generation so as to reduce the work for School teachers.
text-summarization question-generation question-answering paraphrase-identification
Differentiable Reasoning over Text
We consider the task of answering complex multi-hop questions using a corpus as a virtual knowledge base (KB).
question-answering multi-hop reasoning entity-linking
Transfer Learning with T5: the Text-To-Text Transfer Transformer
In the paper, we demonstrate how to achieve state-of-the-art results on multiple NLP tasks using a text-to-text transformer pre-trained on a large text ...
transformers t5 question-answering reading-comprehension
BERT NLP — How To Build a Question Answering Bot
Understanding the intuition with hands-on PyTorch code for BERT fine-tuned on SQuAD.
question-answering transformers bert squad
Know-Corona : Kaggle COVID-19 Open Research Dataset Challenge (CO
NLP/state-of-the-art language model (BERT) based Question & Answering pipeline to answer all task questions after analyzing articles abstract of COVID-19, ...
transformers react biobert natural-language-processing
COVID-Q: A Dataset of 1,690 Questions about COVID-19
This dataset consists of COVID-19 questions which have been annotated into a broad category (e.g. Transmission, Prevention) and a more specific class such ...
covid-19 question-answering dataset covid-q
BART version of closed-book QA
This is a BART version of sequence-to-sequence model for open-domain QA in a closed-book setup, based on PyTorch and Huggingface's Transformers.
question-answering transformers bart natural-language-processing
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