Recently, foundation language models (LMs) have marked significant achievements in the
domains of natural language processing and computer vision. Unlike traditional neural …

A knowledge graph (KG), also known as a knowledge base, is a particular kind of network
structure in which the node indicates entity and the edge represent relation. However, with …

Abstract Query embedding (QE)---which aims to embed entities and first-order logical (FOL)
queries in low-dimensional spaces---has shown great power in multi-hop reasoning over …

With the support of advanced hardware and software technology, Artificial Intelligence (AI)
techniques, especially the increasing number of deep learning algorithms, have spawned …

Introduction: The advances in the digital era have necessitated the adoption of
communication as the main channel for modern business. In the past, business negotiations …

As the growth of vehicles and the acceleration of urbanization, the urban traffic congestion
problem becomes a burning issue in our society. Constructing a software defined Internet of …

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 …

Currently, researchers have paid great attention to retrieval-based dialogues in open-
domain. In particular, people study the problem by investigating context-response matching …

We consider context-response matching with multiple types of representations for multi-turn
response selection in retrieval-based chatbots. The representations encode semantics of …

Intelligent personal assistant systems with either text-based or voice-based conversational
interfaces are becoming increasingly popular around the world. Retrieval-based …