Cone: Cone embeddings for multi-hop reasoning over knowledge graphs
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 …
queries in low-dimensional spaces---has shown great power in multi-hop reasoning over …
A survey on knowledge graph embedding: Approaches, applications and benchmarks
Y Dai, S Wang, NN Xiong, W Guo - Electronics, 2020 - mdpi.com
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 …
structure in which the node indicates entity and the edge represent relation. However, with …
Recent advances of foundation language models-based continual learning: A survey
Recently, foundation language models (LMs) have marked significant achievements in the
domains of natural language processing (NLP) and computer vision (CV). Unlike traditional …
domains of natural language processing (NLP) and computer vision (CV). Unlike traditional …
Urban traffic control in software defined internet of things via a multi-agent deep reinforcement learning approach
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 …
problem becomes a burning issue in our society. Constructing a software defined Internet of …
Natural language processing and artificial intelligence for enterprise management in the era of industry 4.0
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 …
communication as the main channel for modern business. In the past, business negotiations …
[PDF][PDF] Knowledge graphs and COVID-19: opportunities, challenges, and implementation
M Kejriwal - Harv. Data Sci. Rev, 2020 - assets.pubpub.org
The COVID-19 pandemic has been truly global and multidimensional in scope, with
ramifications extending well beyond health. Yet, unlike previous crises, there is hope that …
ramifications extending well beyond health. Yet, unlike previous crises, there is hope that …
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 …
One time of interaction may not be enough: Go deep with an interaction-over-interaction network for response selection in dialogues
Currently, researchers have paid great attention to retrieval-based dialogues in open-
domain. In particular, people study the problem by investigating context-response matching …
domain. In particular, people study the problem by investigating context-response matching …
Multi-representation fusion network for multi-turn response selection in retrieval-based chatbots
We consider context-response matching with multiple types of representations for multi-turn
response selection in retrieval-based chatbots. The representations encode semantics of …
response selection in retrieval-based chatbots. The representations encode semantics of …
Response ranking with deep matching networks and external knowledge in information-seeking conversation systems
Intelligent personal assistant systems with either text-based or voice-based conversational
interfaces are becoming increasingly popular around the world. Retrieval-based …
interfaces are becoming increasingly popular around the world. Retrieval-based …