EXPLORING STRATEGIES FOR MEASURING SEMANTIC SIMILARITY IN SHORT ARABIC TEXTS

Methods for measuring semantic similarity of texts

Measuring semantic similarity is a task needed in many Natural Language Processing (NLP) applications. For example, in Machine Translation evaluation, semantic similarity is used to assess the quality of the machine translation output by measuring the degree of equivalence between a reference translation and the machine translation output. The problem of semantic similarity (Corley and Mihalcea...

Semantic Similarity of Short Texts

This paper presents a method for measuring the semantic similarity of texts using a corpus based measure of semantic word similarity and a normalized and modified versions of the Longest Common Subsequence (LCS) string matching algorithm. Existing methods for computing text similarity have focused mainly on either large documents or individual words. In this paper, we focus on computing the sim...

Measuring The Semantic Similarity Of Texts

This paper presents a knowledge-based method for measuring the semanticsimilarity of texts. While there is a large body of previous work focused on finding the semantic similarity of concepts and words, the application of these wordoriented methods to text similarity has not been yet explored. In this paper, we introduce a method that combines wordto-word similarity metrics into a text-totext m...

Measuring Similarity for Short Texts on Social Media

Semantic Similarity Measure for Pairs of Short Biological Texts

Finding the semantic similarity between biological texts, specially short texts, such as article abstracts and experiment descriptions of microarrays, may throw important information for experts in that field. To date, these methods have not been widely explored. In this paper, a comparison of different measures to calculate the semantic similarity of pairs of short biological texts is presente...