acl2020-openqa-tutorial
Questgen.ai
| acl2020-openqa-tutorial | Questgen.ai | |
|---|---|---|
| 1 | 3 | |
| 832 | 876 | |
| - | - | |
| 0.0 | 6.3 | |
| over 3 years ago | 6 months ago | |
| Python | ||
| - | MIT License |
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acl2020-openqa-tutorial
Questgen.ai
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Yes/No style Question and Answer Generation
I have tried to do some searching for models but there don't seem to be ones that do what I am looking for. The closest I found was Questgen, but it only generated the questions and they, more often than, not did not make sense - especially for the types of questions I was looking to generate.
- [D] How to create a question answering system with a (potentially very large) corpus of text?
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Creating a Wikipedia Question/Answer generator
This library might be of help https://github.com/ramsrigouthamg/Questgen.ai
What are some alternatives?
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
fastT5 - ⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
FARM - :house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
simpletransformers - Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
kiri - Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
kiri - Kiri is a visual tool designed for reviewing schematics and layouts of KiCad projects that are version-controlled with Git.
MLH-Quizzet - This is a smart Quiz Generator that generates a dynamic quiz from any uploaded text/PDF document using NLP. This can be used for self-analysis, question paper generation, and evaluation, thus reducing human effort.
question_generation - Neural question generation using transformers
GenRead - Code and Checkpoints for "Generate rather than Retrieve: Large Language Models are Strong Context Generators" in ICLR 2023.