Here, we investigate non-lexicalized synsets found in the Hungarian wordnet, and compare them to the English one, in the context of wordnet building principles. We propose some strategies that may be used to overcome difficulties concerning non-lexicalized synsets in wordnets constructed using the expand method. It is shown that the merge model could also have been applied to Hungarian, and wit...

In this paper, we propose a method for multi-term query expansions based on WordNet. In our approach, Hypernym/Hyponymy and Synonym relations in WordNet is used as the basic expansion rules. Then we use WordNet Lexical Chains and WordNet semantic similarity to assign terms in the same query into different groups with respect to their semantic similarities. For each group, we expand the highest ...

We introduce X is without zero as a synonym of X has non empty elements. We introduce X has zero as an antonym of X has non empty elements. Let us mention that R has zero and N has zero. Let us observe that there exists a set which is non empty and without zero and there exists a set which is non empty and has zero. Let us observe that there exists a subset of R which is non empty and without z...

In this paper we present a linguistic resource for the lexical representation of affective knowledge. This resource (named WORDNETAFFECT) was developed starting from WORDNET, through a selection and tagging of a subset of synsets representing the affective

The main goal of this project is the semantic annotation of argument nouns of SenSem corpus with synsets of WordNet. The final objective of research is the acquisition of semantic preferences.

Type-level word embeddings use the same set of parameters to represent all instances of a word regardless of its context, ignoring the inherent lexical ambiguity in language. Instead, we embed semantic concepts (or synsets) as defined in WordNet and represent a word token in a particular context by estimating a distribution over relevant semantic concepts. We use the new, context-sensitive embe...

This paper describes the process of automatically adding synsets and hypernymy relations to an existing wordnet based on word embeddings computed for POStagged lemmas in a large news corpus, achieving exact match attachment accuracy of over 80%. The reported experiments are based on the Norwegian Wordnet, but the method is language independent and also applicable to other wordnets. Moreover, th...

This paper is motivated by the demand for more linguistic resources for the study of languages and the improvement of those already existing. The first step in our work is the selection of the most significant frames in the English FrameNet according to a representative medical corpus. These frames were subsequently attached to different EuroWordNet synsets and translated into Spanish. Results ...