Text classification is a foundational task in many NLP applications. Traditional text classifiers
often rely on many human-designed features, such as dictionaries, knowledge bases and …

ALZHEIMER'S disease (AD) is the most common cause of progressive intellectual failure in
aged humans. AD brains contain numerous amyloid plaques surrounded by dystrophic …

Abstract Knowledge graphs are useful resources for numerous AI applications, but they are
far from completeness. Previous work such as TransE, TransH and TransR/CTransR regard …

Multi-criteria decision analysis (MCDA) methods have become increasingly popular in
decision-making for sustainable energy because of the multi-dimensionality of the sustainability …

Background Most patients with small-cell lung cancer (SCLC) have extensive-stage disease
at presentation, and prognosis remains poor. Recently, immunotherapy has demonstrated …

Proteolytic processing of the amyloid precursor protein (APP) generates amyloid β (Aβ)
peptide, which is thought to be causal for the pathology and subsequent cognitive decline in …

Polycystic ovary syndrome (PCOS) is a common metabolic disorder in women. To identify
causative genes, we conducted a genome-wide association study (GWAS) of PCOS in Han …

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data.
A diverse set of stakeholders—representing academia, industry, funding agencies, and …

The state-of-the-art methods used for relation classification are primarily based on statistical
machine learning, and their performance strongly depends on the quality of the extracted …

Two problems arise when using distant supervision for relation extraction. First, in this method,
an already existing knowledge base is heuristically aligned to texts, and the alignment …