A large-scale chinese short-text conversation dataset
The advancements of neural dialogue generation models show promising results on
modeling short-text conversations. However, training such models usually needs a large …
modeling short-text conversations. However, training such models usually needs a large …
[PDF][PDF] " Chitty-Chitty-Chat Bot": Deep Learning for Conversational AI.
R Yan - IJCAI, 2018 - ijcai.org
Conversational AI is of growing importance since it enables easy interaction interface
between humans and computers. Due to its promising potential and alluring commercial …
between humans and computers. Due to its promising potential and alluring commercial …
Adsgnn: Behavior-graph augmented relevance modeling in sponsored search
Sponsored search ads appear next to search results when people look for products and
services on search engines. In recent years, they have become one of the most lucrative …
services on search engines. In recent years, they have become one of the most lucrative …
Interview choice reveals your preference on the market: To improve job-resume matching through profiling memories
Online recruitment services are now rapidly changing the landscape of hiring traditions on
the job market. There are hundreds of millions of registered users with resumes, and tens of …
the job market. There are hundreds of millions of registered users with resumes, and tens of …
Coupled context modeling for deep chit-chat: towards conversations between human and computer
To have automatic conversations between human and computer is regarded as one of the
most hardcore problems in computer science. Conversational systems are of growing …
most hardcore problems in computer science. Conversational systems are of growing …
Joint learning of response ranking and next utterance suggestion in human-computer conversation system
Conversation systems are of growing importance since they enable an easy interaction
interface between humans and computers: using natural languages. To build a conversation …
interface between humans and computers: using natural languages. To build a conversation …
SSDMV: Semi-supervised deep social spammer detection by multi-view data fusion
The explosive use of social media makes it a popular platform for malicious users, known as
social spammers, to overwhelm legitimate users with unwanted content. Most existing social …
social spammers, to overwhelm legitimate users with unwanted content. Most existing social …
Leveraging bidding graphs for advertiser-aware relevance modeling in sponsored search
Recently, sponsored search has become one of the most lucrative channels for marketing.
As the fundamental basis of sponsored search, relevance modeling has attracted increasing …
As the fundamental basis of sponsored search, relevance modeling has attracted increasing …
Unsupervised technique for training an engagement classifier in chat-based group conversation
DA Conley, L Krishnamurthy, S Sudarsan… - US Patent …, 2021 - Google Patents
An engagement classifier for a group chatbot is trained by leveraging the implicit dataset
generated by humans engag ing in both direct messages as well as group conversations …
generated by humans engag ing in both direct messages as well as group conversations …
Why Do Neural Response Generation Models Prefer Universal Replies?
Recent advances in sequence-to-sequence learning reveal a purely data-driven approach
to the response generation task. Despite its diverse applications, existing neural models are …
to the response generation task. Despite its diverse applications, existing neural models are …