We introduce lemonUby, a new lexical resource integrated in the Semantic Web which is the result of converting data extracted from the existing large-scale linked lexical resource UBY to the lemon lexicon model. The following data from UBY were converted: WordNet, FrameNet, VerbNet, English and German Wiktionary, the English and German entries of OmegaWiki, as well as links between pairs of the...

This paper presents Q-WordNet, a lexical resource consisting of WordNet senses automatically annotated by positive and negative polarity. Polarity classification amounts to decide whether a text (sense, sentence, etc.) may be associated to positive or negative connotations. Polarity classification is becoming important for applications such as Opinion Mining and Sentiment Analysis, which facili...

FinnWordNet is a wordnet for Finnish that complies with the format of the Princeton WordNet (PWN) (Fellbaum, 1998). It was built by translating the Princeton WordNet 3.0 synsets into Finnish by human translators. It is open source and contains 117000 synsets. The Finnish translations were inserted into the PWN structure resulting in a bilingual lexical database. In natural language processing (...

This paper describes semi-automatic construction of Thai WordNet and the applied method for Asian wordNet. Based on the Princeton WordNet, we develop a method in generating a WordNet by using an existing bi-lingual dictionary. We align the PWN synset to a bilingual dictionary through the English equivalent and its part-of-speech (POS), automatically. Manual translation is also employed after th...

CoreNet, which is built on 2,937 semantic categories, is a multilingual lexico-semantic network aiming at bridging multiple languages/parts-of-speech for a variety of NLP applications. To foster its more widespread use, we have attempted to link semantic categories of CoreNet to Princeton WordNet. To ameliorate translation problems between CoreNet (mostly written in Korean) and English WordNet ...

WordNet is an online lexical resource which expresses unique concepts in a language. English WordNet is the first WordNet which was developed at Princeton University. Over a period of time, many language WordNets were developed by various organizations all over the world. It has always been a challenge to store the WordNet data. Some WordNets are stored using file system and some WordNets are s...

The main goal of this paper is to extract the semantic relations underpinning concepts English prepositional of-constructions derived from poetic and non-poetic datasets, using Princeton WordNet. problem addressed by two different algorithms, which are evaluated for their ability model types resources derived, predict unseen relations. first algorithm introduces concept subsumption hierarchy be...

WordNet is one of the most valuable lexical resources in the Natural Language Processing community. Unfortunately, the benefits of building a WordNet for the Macedonian language have never been recognized. Due to the time and labor intensive process of manual building of such a lexical resource, we were inspired to develop a method for its automated construction. In this paper, we present a new...