In this paper we propose an end-to-end AQG system that utilises the power of a recently introduced transformer, the Text-to-Text Transfer Transformer (T5). We use the pre-trained T5 model and fine-tune it for our down-stream task of question generation. Our model performs very well on...
T5 model is fine-tuned in multi-task way using task prefixes as described in the paper. End-to-End question generation (answer agnostic) In end-to-end question generation the model is aksed to generate questions without providing the answers.Thispaper discusses these ideas in more detail. Her...
question-generation Updated May 2, 2021 bernardoleite / question-generation-control Star 1 Code Issues Pull requests Question-Answer Generation Control for English, using the T5 model and Pytorch lightning. Training, inference and evaluation scripts included. natural-language-processing control trans...
Neural Models for Key Phrase Extraction and Question Generation.ACL Workshop, 2018. A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question Generation.AAAI, 2019. 答案已知时,识别与答案相关的内容也有利于提升生成问题的效果。 Improving Question Generation With to the Point...
On the Importance of Diversity in Question Generation for QA.ACL, 2020. 预训练语言模型提出后,大多方法通过微调预训练模型实现问题生成,进一步改善了生成效果,常用模型包括 UniLM、BART、T5 等。 Unified Language Model Pre-training for Natural Language Understanding and Generation.NeurIPS, 2019. ...
Question->Answer generation:输入:Question: q Answer: <mask>. Context: c目标:Question: q Answer: a. Answer->Question generation:输入:Question: q Answer: <mask>. Context: c目标:Answer: a. Question: q Answer generation(T5的标准微调):输入:Question: q Context: c目标:Answer: a ...
Transformer based Answer-Aware Bengali Question Generation questions from context passages in natural language in an answer-aware input format using a series of fine-tuned text-to-text transformer (T5) based ... JF Ruma,TT Mayeesha,RM Rahman - 《International Journal of Cognitive Computing in Eng...
Multiple-choice test generation is one of the most complex NLP problems, especially in languages other than English, where there is a lack of prior research. After a review of the literature, it has been verified that some methods like the usage of rule-
nlpnatural-language-processingdeep-learningtransformernatural-language-generationnlgquestion-generationt5 UpdatedApr 5, 2024 Jupyter Notebook ramsrigouthamg/Questgen.ai Star879 Code Issues Pull requests Question generation using state-of-the-art Natural Language Processing algorithms ...
Questgen AI is an opensource NLP library focused on developing easy to use Question generation algorithms. It is on a quest build the world's most advanced question generation AI leveraging on state-of-the-art transformer models like T5, BERT and OpenAI GPT-2 etc. ...