Smart healthcare has achieved significant progress in recent years. Emerging artificial
intelligence (AI) technologies enable various smart applications across various healthcare …

In recent years, knowledge graphs (KGs) have gained a great deal of popularity as a tool for
storing relationships between entities and for performing higher level reasoning. KGs in …

Existing natural language processing (NLP) methods to convert free-text clinical notes into
structured data often require problem-specific annotations and model training. This study …

With the rapid growth of information technology, the necessity for processing substantial
amounts of health data using advanced information technologies is increasing. A large …

Biomedical relation extraction (RE) is the task of automatically identifying and characterizing
relations between biomedical concepts from free text. RE is a central task in biomedical …

知识图谱作为人工智能的重要分支, 因其强大的语义处理能力和数据组织能力,
可以全面整合医学概念, 挖掘潜在医学知识, 已成为医学智能化发展的重要手段. 鉴于此 …

Identifying chemical-induced disease (CID) semantic relations in the biomedical literature,
including both intra-and inter-sentence interactions, has significant implications for various …

Extracting cybersecurity entities such as attackers and vulnerabilities from unstructured
network texts is an important part of security analysis. However, the sparsity of intelligence …

Chemical-induced disease (CID) relation extraction from biomedical articles plays an
important role in disease treatment and drug development. Existing methods are insufficient …

Relation extraction (RE) is an essential task in natural language processing. Given a
context, RE aims to classify an entity-mention pair into a set of pre-defined relations. In the …