An important topic in Semantic Web research is to learn ontologies from text. Here, assessing the degree of semantic relatedness between words is an important task. However, many existing relatedness measures only encode information contained in the underlying corpus and thus do not directly model human intuition. To solve this, we propose RRL (Relative Relatedness Learning) to improve existing...

In the present study, the ERP (event-related brain potentials) technique was used to investigate how accentuation influences the semantic short-term memory representations during on-line speech processing, and how this accentuation effect interacts with the distance of accentuation in the speech signal. Chinese spoken sentences were used as stimuli. The sentences included two critical words: No...

Computing the semantic relatedness between two entities has many applications domains. In this paper, we show a new way to compute the semantic relatedness between two resources using semantic web data. Moreover, we show how this measure can be used to compute the semantic relatedness between music genres which can be used for music recommendation systems. We first describe how to build a vecto...

The semantic relatedness between two concepts is a measure that quantifies the extent to which two concepts are semantically related. Due to the growing interest of researchers in areas such as Semantic Web, Information Retrieval and NLP, various approaches have been proposed in the literature for automatically computing the semantic relatedness. However, despite the growing number of proposed ...

We evaluate semantic relatedness measures on different German datasets showing that their performance depends on: (i) the definition of relatedness that was underlying the construction of the evaluation dataset, and (ii) the knowledge source used for computing semantic relatedness. We analyze how the underlying knowledge source influences the performance of a measure. Finally, we investigate th...

This paper reports the description and scores of our system, FBK-TR, which participated at the SemEval 2014 task #1 "Evaluation of Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Entailment". The system consists of two parts: one for computing semantic relatedness, based on SVM, and the other for identifying the entailment values on the basis of b...

Automated approaches to measuring semantic similarity and relatedness can provide necessary semantic context information for information retrieval applications and a number of fundamental natural language processing tasks including word sense disambiguation. Challenges for the development of these approaches include the limited availability of validated reference standards and the need for bett...

The paper presents an application of information content based metrics to compute semantic relatedness of word senses in German. The main contributions are: an annotation study based on a revised definition of semantic relatedness beyond synonymy, an extension of Resnik’s (1995) procedure for computing information content of concepts for strongly inflected languages, an application of informati...

A novel technique of semantic relatedness measurement between words based on link structure of Wikipedia was provided. Only Wikipedia’s link information was used in this method, which avoid researchers from burdensome text processing. During the process of relatedness computation, the positive effects of two-directional Wikipedia’s links and four link types are taken into account. Using a widel...