What approaches are there to generating question from a sentence? Let's say I have a sentence "Jim's dog was very hairy and smelled like wet newspaper" - which toolkit is capable of generating a question like "What did Jim's dog smelled like?" or "How hairy was Jim's dog?"
Thanks!
As of 2022, Haystack provides a comprehensive suite of tools to accomplish the purpose of Question generation and answering using the latest and greatest Transformer models and Transfer learning.
From their website,
Haystack is an open-source framework for building search systems that work intelligently over large document collections. Recent advances in NLP have enabled the application of question answering, retrieval and summarization to real world settings and Haystack is designed to be the bridge between research and industry.
- NLP for Search: Pick components that perform retrieval, question answering, reranking and much more
- Latest models: Utilize all transformer based models (BERT, RoBERTa, MiniLM, DPR) and smoothly switch when new ones get published
- Flexible databases: Load data into and query from a range of databases such as Elasticsearch, Milvus, FAISS, SQL and more
- Scalability: Scale your system to handle millions of documents and deploy them via REST API
- Domain adaptation: All tooling you need to annotate examples, collect user-feedback, evaluate components and finetune models.
Based on my personal experience, I am 95% successful in generating Questions and Answers in my Internship for training purposes. I have a sample web user interface to demonstrate and the code too. My Web App and Code.
Huge shoutout to the developers on the Slack channel for helping noobs in AI like me! Implementing and deploying a NLP model has never been easier if not for Haystack. I believe this is the only tool out there where one can easily develop and deploy.
Disclaimer: I do not work for deepset.ai or Haystack, am just a fan of haystack.
As of 2019, Question generation from text has become possible. There are several research papers for this task.
The current state-of-the-art question generation model uses language modeling with different pretraining objectives. Research paper, code implementation and pre-trained model are available to download on the Paperwithcode website link.
This model can be used to fine-tune on your own dataset (instructions for finetuning are given here).
I would suggest checking out this link for more solutions. I hope it helps.
