question_extractor VS KitanaQA

Compare question_extractor vs KitanaQA and see what are their differences.

question_extractor

Generate question/answer training pairs out of raw text. (by nestordemeure)
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question_extractor KitanaQA
1 1
181 57
- -
7.3 0.0
5 months ago 9 months ago
Python Python
Apache License 2.0 Apache License 2.0
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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.

KitanaQA

Posts with mentions or reviews of KitanaQA. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-01.
  • Ask HN: Who is hiring? (February 2021)
    16 projects | news.ycombinator.com | 1 Feb 2021
    Searchable.ai | Full Stack Engineer | Full Time | Remote U.S.

    We help our users find their stuff wherever it's stored as we build the future of enterprise search.

    We are hiring a full-stack engineer with Rails experience to join our growing engineering team. Our stack includes: Rails, Electron, Webpack, PostgreSQL, Elasticsearch & Kubernetes.

    This position will also have the opportunity to help integrate our research teams' SOTA work into our product to help users ask questions across their files (see: https://github.com/searchableai/kitanaqa).

    Full description here: https://www.searchable.ai/full-stack-engineer/ and drop us a line at careers at searchable dot ai if you're interested!

What are some alternatives?

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

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

TextAttack - TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

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

FinBERT-QA - Financial Domain Question Answering with pre-trained BERT Language Model

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.

akvo-flow - A data collection and monitoring tool that works anywhere.

qagnn - [NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖

ozone - Scalable, redundant, and distributed object store for Apache Hadoop

auto-attack - Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

eClaire - Trello card printer

OpenAttack - An Open-Source Package for Textual Adversarial Attack.

inltk - Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need