The paper presents the work in progress for a PhD thesis about preposition incorporation Bulgarian BulTreeBank WordNet. Being one of most polysemous parts speech, prepositions are still relatively challenging NLP and usually missing wordnets. A semantic classification, model synsets synset relations proposed. planned applications directions future processing introduced.

This paper presents a suite of methods and results for the semantic disambiguation of WordNet glosses. WordNet is a resource widely used in natural language processing and artificial intelligence. Intended and designed as a lexical database, WordNet exhibits some deficiencies when used as a knowledge base. By semantically disambiguating the words in the glosses, we add pointers from each word t...

This paper discusses the enrichment of WordNet data through merging of WordNet concepts and Corpus Pattern Analysis (CPA) semantic types. The 253 CPA semantic types are mapped to the respective WordNet concept. As a result of mapping, the hyponyms of a synset to which a CPA semantic type is mapped inherit not only the respective WordNet semantic primitive but also the CPA semantic type.

WordNet is a lexical database of the English language that seeks to capture the relationships between words as a graph data structure [8]. In the WordNet graph, vertices represent word groupings of synonyms, while edges are labeled relations between either two specific words in a grouping or two synonym groupings. The richness of these relationships allow WordNet to encode information about the...

Wordnet is an effective resource in natural language processing and information retrieval, especially for semantic processing and meaning related tasks. So far wordnet has been constructed in many languages. However, automatic development of wordnet for lowresource languages has not been studied well. In this paper an Expectation-Maximization algorithm is used to train high quality and large sc...

WordNet is a crucial resource that aids in Natural Language Processing (NLP) tasks such as Machine Translation, Information Retrieval, Word Sense Disambiguation, Multi-lingual Dictionary creation, etc. The IndoWordNet is a multilingual WordNet which links WordNets of different Indian languages on a common identification number given to each concept. WordNet is designed to capture the vocabulary...

In this paper we present a set of tools that will help developers of wordnets not only to increase the number of synsets but also to ensure their quality, thus preventing it to become obsolete too soon. We discuss where the dangers lay in a WordNet production and how they were faced in the case of the Serbian WordNet. Developed tools fall in two categories: first are tools for upgrade, cleaning...

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...