With the widespread popularity of user-generated short videos, it become...
Despite the recent emergence of video captioning models, how to generate...
In-memory key-value stores (IMKVSes) serve many online applications beca...
Nested Named Entity Recognition (NNER) has been a long-term challenge to...
Existing benchmark datasets for recommender systems (RS) either are crea...
Diabetes prediction is an important data science application in the soci...
Large-scale pre-trained models have attracted extensive attention in the...
Quantum machine learning is expected to be one of the first practical
ap...
Understanding what online users may pay attention to is key to content
r...
Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) syste...
Concepts embody the knowledge of the world and facilitate the cognitive
...
A large number of deep learning models have been proposed for the text
m...
Automatic question generation is an important technique that can improve...
We present TigerGraph, a graph database system built from the ground up ...
Property graph manages data by vertices and edges. Each vertex and edge ...
This paper investigates the secrecy energy efficiency (SEE) maximization...
We describe our experience of implementing a news content organization s...
Semantic matching of natural language sentences or identifying the
relat...
Identifying the relationship between two text objects is a core research...