This paper presents our approach to inferring communities on the Web. It delineates the sub-culture hierarchies based on how individuals get involved in the dispersion of online objects. To this end, a relatedness function is chosen to satisfy a set of carefully defined mathematical conditions. The conditions are deduced from how people may share common interests through placing common objects ...

We demonstrate the advantage of specializing semantic word embeddings for either similarity or relatedness. We compare two variants of retrofitting and a joint-learning approach, and find that all three yield specialized semantic spaces that capture human intuitions regarding similarity and relatedness better than unspecialized spaces. We also show that using specialized spaces in NLP tasks and...

As a result of the author’s need for help in finding a given name for the unborn baby, the Nameling1, a search engine for given names, based on data from the “Social Web” was born. Within less than six months, more than 35,000 users accessed Nameling with more than 300,000 search requests, underpinning the relevance of the underlying research questions. The present work proposes a new approach ...

⁎ Corresponding author. School of Psychology, Univers Lussier, Ottawa, ON, K1N 6N5, Canada. E-mail address: [email protected] (C.M.S. Plowrigh http://dx.doi.org/10.1016/j.evolhumbehav.2014.08.006 1090-5138/© 2015 Elsevier Inc. All rights reserved. Article history: Initial receipt 24 February 2014 Final revision received 27 August 2014

In this paper, we (1) propose a new dataset for testing the degree of relatedness between pairs of words; (2) propose a new WordNet-based measure of relatedness, and evaluate it on the new dataset.

Distributional measures of semantic relatedness determine word similarity based on how frequently a pair of words appear in the same contexts. A typical method is to construct a word-context matrix, then re-weight it using some measure of association, and finally take the vector distance as a measure of similarity. This has largely been an unsupervised process, but in recent years more work has...

Studies of relatedness have been crucial in molecular ecology over the last decades. Good evidence of this is the fact that studies of population structure, evolution of social behaviours, genetic diversity and quantitative genetics all involve relatedness research. The main aim of this article was to review the most common graphical methods used in allele sharing studies for detecting and iden...

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...

Traditional approaches to semantic relatedness are often restricted to text-based methods, which typically disregard other multimodal knowledge sources. In this paper, we propose a novel image-based metric to estimate the relatedness of words, and demonstrate the promise of this method through comparative evaluations on three standard datasets. We also show that a hybrid image-text approach can...

Computing the semantic relatedness between words is a pervasive task in natural language processing with applications e.g. in word sense disambiguation, semantic information retrieval, or information extraction. Semantic relatedness measures typically use linguistic knowledge resources like WordNet whose construction is very expensive and time-consuming. So far, insufficient coverage of these l...