The advent of recent Natural Language Processing technology has led human and machine
interactions more toward conversation. In Conversational Search Systems (CSS) like …

Abstract Natural Language Processing (NLP) is a branch of artificial intelligence that
involves the design and implementation of systems and algorithms able to interact through …

Conversational information seeking (CIS) is concerned with a sequence of interactions
between one or more users and an information system. Interactions in CIS are primarily …

Ambiguity is inherent to open-domain question answering; especially when exploring new
topics, it can be difficult to ask questions that have a single, unambiguous answer. In this …

Enabling open-domain dialogue systems to ask clarifying questions when appropriate is an
important direction for improving the quality of the system response. Namely, for cases when …

This research aims to explore various methods for assessing user feedback in mixed-
initiative conversational search (CS) systems. While CS systems enjoy profuse …

A conversational information retrieval (CIR) system is an information retrieval (IR) system
with a conversational interface, which allows users to interact with the system to seek …

To facilitate conversational question answering (CQA) over hybrid contexts in finance, we
present a new dataset, named PACIFIC. Compared with existing CQA datasets, PACIFIC …

Conversational information seeking (CIS) involves interaction sequences between one or
more users and an information system. Interactions in CIS are primarily based on natural …

This document presents a detailed description of the challenge on clarifying questions for
dialogue systems (ClariQ). The challenge is organized as part of the Conversational AI …