This study is to review the approaches used for measuring sentences similarity. Measuring
similarity between natural language sentences is a crucial task for many Natural Language …

Semantic similarity measurement aims to determine the likeness between two text
expressions that use different lexicographies for representing the same real object or idea …

Extracting top-k keywords and documents using weighting schemes are popular techniques
employed in text mining and machine learning for different analysis and retrieval tasks. The …

This research presents a new benchmark dataset for evaluating Short Text Semantic
Similarity (STSS) measurement algorithms and the methodology used for its creation. The …

Measuring semantic similarity between short texts is an important task in many applications
of natural language processing, such as paraphrasing identification. This process requires a …

A problem in the field of semantic sentence similarity is the inability of sentence similarity
measures to accurately represent perception based (fuzzy) words that are commonly used in …

ABSTRACT Automatic Essay Grading (AEG) system is defined as the computer technology
that evaluates and grades written prose. The short essay answer, where the essay is written …

Semantic similarity measurement of biomedical nomenclature aims to determine the
likeness between two biomedical expressions that use different lexicographies for …

Abstract Goal-orientated Conversational Agents are a specific family of conversational
agents that are designed to converse with humans through the use of natural language …

Twitter is a popular social media platform, where millions of tweets are being generated
every day. On Twitter, users can tweet about certain topic during occurrence of events. This …