The rapid development of consumer products with short life spans, along with fast, global e-
commerce and e-marketing distribution of products and services requires greater due …

Recently, hashing-based multimodal learning systems have received increasing attention
due to their query efficiency and parsimonious storage costs. However, impeded by the …

The measurement of semantic similarity between concepts is an important research topic in
natural language processing. In the past, several approaches for measuring the semantic …

Automatic spelling correction stands as a pivotal challenge within the ambit of natural
language processing (NLP), demanding nuanced solutions. Traditional spelling correction …

In this paper, the well-known bag-of-features (BoFs) model is generalized and formulated as
a neural network that is composed of three layers: 1) a radial basis function (RBF) layer; 2) …

While the Sustainable Development Goals (SDGs) have emerged as the preeminent
sustainability framework across various spatial scopes, the reporting and assessment of new …

Text segmentation (TS) is the process of dividing multi-topic text collections into cohesive
segments using topic boundaries. Similarly, text clustering has been renowned as a major …

Abstract Knowledge graph (KG) embedding represents entities and relations with latent
vectors, which has been widely adopted in relation extraction and KG completion. Among …

The core issue of learning-to-rank (LTR) for document retrieval lies in finding an optimal
ranking policy to meet the search intent of the user. The majority of proposed LTR …

Trademarks are intellectual property assets with potentially high reputational value. Their
infringement may lead to lost revenue, lower profits and damages to brand reputation. A test …