Conversational question answering: a survey

Abstract Question answering (QA) systems provide a way of querying the information available in various formats including, but not limited to, unstructured and structured data natural languages. It constitutes considerable part conversational artificial intelligence (AI) which has led to introduction special research topic on question (CQA), wherein system is required understand given context then engages multi-turn QA satisfy user’s needs. While focus most existing work subjected single-turn QA, field recently grasped attention prominence owing availability large-scale, datasets development pre-trained language models. With good amount models papers adding literature every year recently, there dire need arranging presenting related unified manner streamline future research. This survey an effort present comprehensive review state-of-the-art trends CQA primarily based reviewed over recent years. Our findings show that been trend shift from empowers Conversational AI different perspectives. intended epitome for community with hope laying strong foundation CQA.