Effective passage retrieval is crucial for conversation question answering (QA) but
challenging due to the ambiguity of questions. Current methods rely on the dual-encoder …

Conversational question answering (ConvQA) tackles sequential information needs where
contexts in follow-up questions are left implicit. Current ConvQA systems operate over …

Conversational question answering (QA) requires the ability to correctly interpret a question
in the context of previous conversation turns. We address the conversational QA task by …

Conversational search is one of the ultimate goals of information retrieval. Recent research
approaches conversational search by simplified settings of response ranking and …

The rapid development of conversational assistants accelerates the study on conversational
question answering (QA). However, the existing conversational QA systems usually answer …

Question answering (QA) is an important aspect of open-domain conversational agents,
garnering specific research focus in the conversational QA (ConvQA) subtask. One notable …

Conversational Question Answering is a challenging task since it requires understanding of
conversational history. In this project, we propose a new system RoBERTa+ AT+ KD, which …

In a conversational question answering scenario, a questioner seeks to extract information
about a topic through a series of interdependent questions and answers. As the …

Question answering (QA) over text passages is a problem of longstanding interest in
information retrieval. Recently, the conversational setting has attracted attention, where a …

Compared to standard retrieval tasks, passage retrieval for conversational question
answering (CQA) poses new challenges in understanding the current user question, as …