question_extractor VS qagnn

Compare question_extractor vs qagnn and see what are their differences.

question_extractor

Generate question/answer training pairs out of raw text. (by nestordemeure)

qagnn

[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖 (by michiyasunaga)
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question_extractor qagnn
1 6
181 588
- -
7.3 0.0
5 months ago about 1 year ago
Python Python
Apache License 2.0 MIT License
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question_extractor

Posts with mentions or reviews of question_extractor. We have used some of these posts to build our list of alternatives and similar projects.

qagnn

Posts with mentions or reviews of qagnn. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing question_extractor and qagnn you can also consider the following projects:

mutate - A library to synthesize text datasets using Large Language Models (LLM)

kiri - Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

primeqa - The prime repository for state-of-the-art Multilingual Question Answering research and development.

RecBole - A unified, comprehensive and efficient recommendation library

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.

kiri - Kiri is a visual tool designed for reviewing schematics and layouts of KiCad projects that are version-controlled with Git.

LinkBERT - [ACL 2022] LinkBERT: A Knowledgeable Language Model 😎 Pretrained with Document Links

prompt-lib - A set of utilities for running few-shot prompting experiments on large-language models

pal - PaL: Program-Aided Language Models (ICML 2023)