Генератор вопросов

AbstractPretrained language models have significantly improved the performance of downstream language understanding tasks, including extractive question answering, by providing high-quality contextualized word embeddings. However, training question answering models still requires …...

AbstractThis paper introduces QAConv, a new question answering (QA) dataset that uses conversations as a knowledge source. We focus on informative conversations, including business emails, panel discussions, and work channels. …...

AbstractQuestion generation is the task of automatically generating questions based on given context and answers, and there are problems that the types of questions and answers do not match. In …...

AbstractSynthesizing QA pairs with a question generator (QG) on the target domain has become a popular approach for domain adaptation of question answering (QA) models. Since synthetic questions are often …...