There is a resurgent interest in developing intelligent open-domain dialog systems due to
the availability of large amounts of conversational data and the recent progress on neural …

Recent years have witnessed a surge of interest in the field of open-domain dialogue.
Thanks to the rapid development of social media, large dialogue corpus from the Internet …

The wide spread of fake news is increasingly threatening both individuals and society. Great
efforts have been made for automatic fake news detection on a single domain (eg, politics) …

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

In this paper, we study the problem of employing pre-trained language models for multi-turn
response selection in retrieval-based chatbots. A new model, named Speaker-Aware BERT …

Multi-turn retrieval-based conversation is an important task for building intelligent dialogue
systems. Existing works mainly focus on matching candidate responses with every context …

We focus on multi-turn response selection in a retrieval-based dialog system. In this paper,
we utilize the powerful pre-trained language model Bi-directional Encoder Representations …

In the retrieval-based multi-turn dialogue modeling, it remains a challenge to select the most
appropriate response according to extracting salient features in context utterances. As a …

The technology improvement has radically changed how tourists perform their journey
offering new services to enhance their cultural experience and to easily retrieve required …

Despite their popularity in the chatbot literature, retrieval-based models have had modest
impact on task-oriented dialogue systems, with the main obstacle to their application being …