This paper presents the overall methodology that has been used to encode both the Brazilian Portuguese WordNet (WordNet.Br) standard language-independent conceptual-semantic relations (hyponymy, co-hyponymy, meronymy, cause, and entailment) and the so-called cross-lingual conceptual-semantic relations between different wordnets. Accordingly, after contextualizing the project and outlining the c...

In this paper we describe the participation of the Joint Research Centre, EC, in task 14 Semantic Taxonomy Enrichment at SemEval 2016. The algorithm which we propose transforms each candidate definition into a term vector, where each dimension represents a term and its value is calculated by TF.IDF. We attach the candidate term as a hyponym to the WordNet synset with the most similar definition...

In this paper, we propose a simple methodology for building or extending wordnets using easily extractible lexical knowledge from Wiktionary and Wikipedia. This method relies on a large multilingual translation/synonym graph in many languages as well as synset-aligned wordnets. It guesses frequent and polysemous literals that are difficult to find using other methods by looking at back-translat...

This paper presents work in progress on a machine learning method for classification of morphosemantic relations between verb and noun synsets. The training data comprises 5,584 verb–noun synset pairs from the Bulgarian WordNet, where the morphosemantic relations were automatically transferred from the Princeton WordNet morphosemantic database. The machine learning is based on 4 features (verb ...

Background and Objectives: The assessment of wellbeing is a top priority in health sciences. The aim of this paper is to review the history of the concept of wellbeing and “Quality of Life” (QoL), and to understand the theories and assumptions that guided this field in order to provide a conceptual framework that may eventually facilitate the development of a formal synset (grouping of synonyms...

The paper motivates a strategy for identification and annotation of derivational relations in the Bulgarian wordnet that aims at coping with the complex morphology of the language in an elegant way. Our method involves transfer of the Princeton WordNet (morpho)semantic relations into the Bulgarian wordnet, at the level of the synset, and further detection of derivational relations between liter...

This paper summarizes the results of the first participation of MaasMatch in the Ontology Alignment Evaluation Initiative (OAEI) of 2011. We provide a brief description of the techniques that have been applied, with the emphasis being on the application of virtual documents and information retrieval techniques in order effectively utilize linguistic ontologies. Also, we discuss the results achi...

Opinion mining (OM) is a recent subdiscipline at the crossroads of information retrieval and computational linguistics which is concerned not with the topic a document is about, but with the opinions it expresses. OM has a rich set of applications, ranging from tracking users’ opinions about products or about political candidates as expressed in online forums, to customer relationship managemen...

In this paper, we develop multilingual supervised latent Dirichlet allocation (MLSLDA), a probabilistic generative model that allows insights gleaned from one language’s data to inform how the model captures properties of other languages. MLSLDA accomplishes this by jointly modeling two aspects of text: how multilingual concepts are clustered into thematically coherent topics and how topics ass...

We present a new open source subjectivity lexicon for Dutch adjectives. The lexicon is a dictionary of 1,100 adjectives that occur frequently in online product reviews, manually annotated with polarity strength, subjectivity and intensity, for each word sense. We discuss two machine learning methods (using distributional extraction and synset relations) to automatically expand the lexicon to 5,...