Biomedical information extraction (BioIE) is an important task. The aim is to analyze
biomedical texts and extract structured information such as named entities and semantic …

群体智能(Collectire intelligence, CI) 系统具有广泛的应用前景. 当前的群体智能决策方法主要
包括知识驱动, 数据驱动两大类, 但各自存在优缺点. 本文指出, 知识与数据协同驱动将为群体 …

Human health is threatened by several diseases for this reason automated medical
diagnosis systems has been developed several years ago. These systems need databases …

Event causality identification is an important research task in natural language processing.
Existing methods largely focus on identifying explicit causal relations, and give poor …

Depression is a widespread and intractable problem in modern society, which may lead to
suicide ideation and behavior. Analyzing depression or suicide based on the posts of social …

Fine-grained sentiment analysis has shown great benefits to real-word applications, such as
for social media texts and product reviews. While the current state-of-the-art methods employ …

Advanced Persistent Threat (APT) seriously threatens a nation's cyberspace security.
Current defense technologies are typically unable to detect it effectively since APT attack is …

Fundamental information extraction tasks, such as relation extraction and event detection,
suffer from a data imbalance problem. To alleviate this problem, existing methods rely mostly …

This paper devotes to solving time-varying linear matrix equations (TVLMEs) from the
viewpoint of high-order neural networks. For this purpose, high-order zeroing neural network …

Code-switched emotion detection, a task analyzing the emotion in code-switched texts, has
gain increasing research attention within recent years. Prior works utilize various neural …