Estimating the semantic similarity between text data is one of the challenging and open
research problems in the field of Natural Language Processing (NLP). The versatility of …

The quest to open black box artificial intelligence (AI) systems evolved into an emerging
phenomenon of global interest for academia, business, and society and brought about the …

This paper is concerned with paraphrase detection, ie, identifying sentences that are
semantically identical. The ability to detect similar sentences written in natural language is …

The number of online documents has rapidly grown, and with the expansion of the Web,
document analysis, or text analysis, has become an essential task for preparing, storing …

This article presents a comprehensive review of stacking methods commonly used to
address the challenge of automatic semantic similarity measurement in the literature. Since …

Semantic textual similarity (STS), a cornerstone task in NLP, measures the degree of
similarity between a pair of sentences, and has broad application in fields such as …

Automatic short answer grading for Intelligent Tutoring Systems has attracted much attention
of the researchers over the years. While the traditional techniques for short answer grading …

Semantic relatedness between words is a core concept in natural language processing.
While countless approaches have been proposed, measuring which one works best is still a …

Abstract Semantic Textual Similarity and Natural Language Inference are two popular
natural language understanding tasks used to benchmark sentence representation models …

Background Automatic extraction of morbid disease or conditions contained in Death
Certificates is a critical process, useful for billing, epidemiological studies and comparison …