Comparing text documents is an essential task for a variety of applications within diverse research fields, and several different methods have been developed this. However, calculating similarity ambiguous context-dependent task, so many open challenges still exist. In this paper, we present novel method calculations based on the combination embedding technology ensemble methods. By using embed...

This article presents two case studies to explore whether and how web corpora can be used to automatically acquire lexical-semantic knowledge from distributional information. For this purpose, we compare three German web corpora and a traditional newspaper corpus on modelling two types of semantic relatedness: (1) Assuming that free word associations are semantically related to their stimuli, w...

In order to improve the accuracy of short text similarity calculation, this paper presents the idea that use the history of short text messages to construct semantic feature space, then use the vector in semantic feature space to represent short text and do semantic extension, and finally calculate the short text similarity of corresponding vector in the semantic feature space. This method can ...

In Social networks, users need a proper estimation of trust in others to be able to initialize reliable relationships. Some trust evaluation mechanisms have been offered, which use direct ratings to calculate or propagate trust values. However, in some web-based social networks where users only have binary relationships, there is no direct rating available. Therefore, a new method is required t...

The UOW submissions to the Semantic Textual Similarity task at SemEval-2012 use a supervised machine learning algorithm along with features based on lexical, syntactic and semantic similarity metrics to predict the semantic equivalence between a pair of sentences. The lexical metrics are based on wordoverlap. A shallow syntactic metric is based on the overlap of base-phrase labels. The semantic...

In this proof-of-concept study we use standard cosine similarity measure to calculate the semantic similarity between two pieces of text – the citing document and the cited text. Three subject matter experts then evaluate the citing and the cited text based on the cosine score to give their judgement on the semantic similarity between the two pieces of text.

Short Text Semantic Similarity measurement is a new and rapidly growing field of research. “Short texts” are typically sentence length but are not required to be grammatically correct. There is great potential for applying these measures in fields such as Information Retrieval, Dialogue Management and Question Answering. A dataset of 65 sentence pairs, with similarity ratings, produced in 2006 ...

As the Internet help us cross cultural border by providing different information, plagiarism issue is bound to arise. As a result, plagiarism detection becomes more demanding in overcoming this issue. Different plagiarism detection tools have been developed based on various detection techniques. Nowadays, fingerprint matching technique plays an important role in those detection tools. However, ...