Challenges in building intelligent open-domain dialog systems
There is a resurgent interest in develo** intelligent open-domain dialog systems due to
the availability of large amounts of conversational data and the recent progress on neural …
the availability of large amounts of conversational data and the recent progress on neural …
[HTML][HTML] Learning towards conversational AI: A survey
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 …
Thanks to the rapid development of social media, large dialogue corpus from the Internet …
Memory-guided multi-view multi-domain fake news detection
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) …
efforts have been made for automatic fake news detection on a single domain (eg, politics) …
Open-retrieval conversational question answering
Conversational search is one of the ultimate goals of information retrieval. Recent research
approaches conversational search by simplified settings of response ranking and …
approaches conversational search by simplified settings of response ranking and …
Speaker-aware BERT for multi-turn response selection in retrieval-based chatbots
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 …
response selection in retrieval-based chatbots. A new model, named Speaker-Aware BERT …
Multi-hop selector network for multi-turn response selection in retrieval-based chatbots
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 …
systems. Existing works mainly focus on matching candidate responses with every context …
An effective domain adaptive post-training method for bert in response selection
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 …
we utilize the powerful pre-trained language model Bi-directional Encoder Representations …
A cultural heritage framework using a Deep Learning based Chatbot for supporting tourist journey
G Sperlí - Expert Systems with Applications, 2021 - Elsevier
The technology improvement has radically changed how tourists perform their journey
offering new services to enhance their cultural experience and to easily retrieve required …
offering new services to enhance their cultural experience and to easily retrieve required …
Topic-aware multi-turn dialogue modeling
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 …
appropriate response according to extracting salient features in context utterances. As a …
Vmsmo: Learning to generate multimodal summary for video-based news articles
A popular multimedia news format nowadays is providing users with a lively video and a
corresponding news article, which is employed by influential news media including CNN …
corresponding news article, which is employed by influential news media including CNN …