question_generation
mt5-M2M-comparison
| question_generation | mt5-M2M-comparison | |
|---|---|---|
| 4 | 1 | |
| 1,070 | 13 | |
| - | - | |
| 0.0 | 3.8 | |
| 29 days ago | almost 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
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question_generation
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Yes/No style Question and Answer Generation
I have seen models which do something similar but the questions they ask are not in a Yes/No style such as this T5 - based Question Generator. Essentially, I was wondering how I would go about developing such a model.
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Best solution to make static chatbot for a minecraft server?
I've been able to get good domain-specific performance out of RoBERTa by training it on SQuAD (general QA) and synthetic domain-specific data created via https://github.com/patil-suraj/question_generation, took about 1000 domain-specific QA pairs.
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State of the art models for Question generation
Not sure if it's SOTA but this project and paper is really interesting and quite easy to use : https://github.com/patil-suraj/question_generation
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How could I go about turning a bunch of text into a series of questions with answers?
Take a look at https://github.com/patil-suraj/question_generation . It's a T5 model that tuned for generating questions for multiple formats (reading comprehension, multiple choice, cloze, etc) given an input text.
mt5-M2M-comparison
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[D] Comparing M2M to mT5 in low resource translation (10k dataset Yoruba - English)
I found no clear comparison nor a clear guide on how to fine tune both of the models on the translation task, so I decided to write it myself. (code: https://github.com/maroxtn/mt5-M2M-comparison)
What are some alternatives?
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
fastT5 - ⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
gluon-nlp - NLP made easy
keytotext - Keywords to Sentences
practical-pytorch - Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
OpenNMT-Tutorial - Neural Machine Translation (NMT) tutorial. Data preprocessing, model training, evaluation, and deployment.
100DaysOfML - 100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building
mgpt - Multilingual Generative Pretrained Model
fake-news - Building a fake news detector from initial ideation to model deployment
Questgen.ai - Question generation using state-of-the-art Natural Language Processing algorithms