Генерация многошаговых вопросов

AbstractMulti-hop Question Generation (QG) aims to generate answer-related questions by aggregating and reasoning over multiple scattered evidence from different paragraphs. It is a more challenging yet under-explored task compared to …...

AbstractQuestion generation (QG) attempts to solve the inverse of question answering (QA) problem by generating a natural language question given a document and an answer. While sequence to sequence neural …...

Multi-hop question generation requires com- plex reasoning and coherent language realiza- tion. Learning a generation model for the problem requires extensive multi-hop question answering (QA) data, which are limited due …...

AbstractMulti-hop question generation focuses on generating complex questions that require reasoning over multiple pieces of information of the input passage. Current models with state-of-the-art performance have been able to generate …...

AbstractMulti-hop question generation (QG) is the process of generating answer related questions, which requires aggregating multiple pieces of information and reasoning from different parts of the texts. This is opposed …...