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Lexical platform – the first step towards user-centred integration of lexical resources

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Piasecki M., Walkowiak T., Rudnicka E., Bond F.
Cognitive Studies
|
2018
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issue 18
EN
Lexical platform – the first step towards user-centred integration of lexical resourcesLexical platform – the first step towards user-centred integration of lexical resources The paper describes the Lexical Platform - a means for lightweight integration of independent lexical resources. Lexical resources (LRs) are represented as web components that implement a minimal set of predefined programming interfaces. These provide functionality for querying and generate a simple, common presentation format. Therefore, a common data format is not needed and the identity of component LRs is preserved. Users can search, browse and navigate via resources on the basis of a limited set of anchor elements such as base form, word form and synset id. Platforma leksykalna – pierwszy krok w kierunku integracji zasobów leksykalnych zorientowanej na użytkownikówArtykuł opisuje Platformę Leksykalną – sposób na lekką integrację niezależnych zasobów leksykalnych. Zasoby leksykalne są na niej reprezentowane jako komponenty webowe, które implementują minimalny zestaw predefiniowanych interfejsów programistycznych. Interfejsy te dostarczają funkcjonalność do przeszukiwania oraz generują prosty, jednolity format prezentacji zasobów. W związku z tym wspólny format danych nie jest konieczny i tożsamość składowych zasobów leksykalnych jest zachowana. Użytkownicy mogą przeszukiwać zasoby na podstawie ograniczonego zbioru odwołań takich jak forma podstawowa, forma wyrazowa i identyfikator synsetu.
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Word Sense Disambiguation Based on Large Scale Polish CLARIN Heterogeneous Lexical Resources

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Kędzia P., Piasecki M., Orlińska M.
Cognitive Studies
|
2015
|
issue 15
EN
Word Sense Disambiguation Based on Large Scale Polish CLARIN Heterogeneous Lexical ResourcesLexical resources can be applied in many different Natural Language Engineering tasks, but the most fundamental task is the recognition of word senses used in text contexts. The problem is difficult, not yet fully solved and different lexical resources provided varied support for it. Polish CLARIN lexical semantic resources are based on the plWordNet - a very large wordnet for Polish - as a central structure which is a basis for linking together several resources of different types. In this paper, several Word Sense Disambiguation (henceforth WSD) methods developed for Polish that utilise plWordNet are discussed. Textual sense descriptions in the traditional lexicon can be compared with text contexts using Lesk’s algorithm in order to find best matching senses. In the case of a wordnet, lexico-semantic relations provide the main description of word senses. Thus, first, we adapted and applied to Polish a WSD method based on the Page Rank. According to it, text words are mapped on their senses in the plWordNet graph and Page Rank algorithm is run to find senses with the highest scores. The method presents results lower but comparable to those reported for English. The error analysis showed that the main problems are: fine grained sense distinctions in plWordNet and limited number of connections between words of different parts of speech. In the second approach plWordNet expanded with the mapping onto the SUMO ontology concepts was used. Two scenarios for WSD were investigated: two step disambiguation and disambiguation based on combined networks of plWordNet and SUMO. In the former scenario, words are first assigned SUMO concepts and next plWordNet senses are disambiguated. In latter, plWordNet and SUMO are combined in one large network used next for the disambiguation of senses. The additional knowledge sources used in WSD improved the performance. The obtained results and potential further lines of developments were discussed.
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