In this paper, we experiment with the task of contextual synonym expansion, and compare the benefits of combining multiple lexical resources using both unsupervised and supervised approaches. Overall, the results obtained through the combination of several resources exceed the current state-of-the-art when selecting the best synonym for a given target word, and place second when selecting the t...

In this paper we claim that an integration of FrameNet and WordNet will improve interoperability, user-friendliness and usability of both lexical resources. If the former provides a sophisticated representational structure compared to a narrow lexical coverage, the latter on the other side supplies a dense network of word senses and semantic relations although not supporting advanced accessibil...

Morphological processes in a language can be effectively used to enrich individual wordnets with semantic relations. More importantly, morphological processes in a language can be used to discover less explicit semantic relations in other languages. This will both improve the internal connectivity of individual wordnets and also the overlap across different wordnets. Using morphology to improve...

WordNets mostly deal with lexicalized expressions and lexical-semantic relations among them. Concepts are represented by sets of synonyms (synsets), which constitute the edges of the network. Each synset includes the lexicalized expressions that correspond to a given concept. This paper adduces evidences which support the claim that some concepts, expressed by a subtype of complex telic predica...

This paper presents an algorithm for aligning FrameNet lexical units to WordNet synsets. Both, FrameNet and WordNet, are well-known as well as widely-used resources by the entire research community. They help systems in the comprehension of the semantics of texts, and therefore, finding strategies to link FrameNet and WordNet involves challenges related to a better understanding of the human la...

We present the task of answering cloze questions automatically and how it can be tackled by exploiting lexical knowledge bases (LKBs). This task was performed in what can be seen as an indirect evaluation of Portuguese LKB. We introduce the LKBs used and the algorithms applied, and then report on the obtained results and draw some conclusions: LKBs are definitely useful resources for this chall...

In this paper we outline the design and present a sample of the REBECA bilingual lexical-conceptual database constructed by linking two monolingual lexical resources in which a set of lexicalized concepts of the North-American English database, the Princeton WordNet (WN.Pr) synsets, is aligned with its corresponding set of lexicalized concepts of the Brazilian Portuguese database, the Brazilian...

Text information processing depends critically on the proper text representation. A common and naïve way of representing a document is a bag of its component words [1], but the semantic relations between words are ignored, such as synonymy and hypernymy-hyponymy between nouns. This paper presents a model for representing a document in terms of the synonymy sets (synsets) in WordNet [2]. The syn...

During the development of the Hungarian WordNet we found that the primarily hierarchical structure of the Princeton WordNet (PWN) had to be expanded in order that it could be used for a more accurate representation of relations among verbal meanings in Hungarian, as well. Treating verbs as eventualities we made some aspectual information explicitly available in the representation of verbs. Usin...

This paper introduces a test-pattern named a dense component for checking inconsistencies in the hierarchical structure of a wordnet. Dense component (viewed as substructure) points out the cases of regular polysemy in the context of multiple inheritance. Definition of the regular polysemy is redefined – instead of lexical units there are used lexical concepts (synsets). All dense components ar...