The SENSEVAL-3 task to perform word-sense disambiguation of WordNet glosses was designed to encourage development of technology to make use of standard lexical resources. The task was based on the availability of sensedisambiguated hand-tagged glosses created in the eXtended WordNet project. The hand-tagged glosses provided a “gold standard” for judging the performance of automated disambiguati...

WordNet is an electronic lexical database structured around psychological and linguistic principles. As such, it should play a part in any e ort to integrate cognitive factors into knowledge based systems. Yet, some of its basic assumptions have been attacked, and the suggestion made that a major restructuring would make it more cognitively transparent. We investigate these allegations from a p...

The problem of WordNet-based ontology construction was widely investigated and many effective methods have been proposed in China. The utilizations of the hierarchy structure of WordNet, the digraph structure of WordNet and auxiliary resources are main measures in the methods. Usually, the methods are facing three fundamental difficulties, the computation of semantic similarity, the constructio...

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...

Approaches for measuring semantic similarity between words have been widely employed in various areas such as Artificial Intelligence, Linguistics, Cognitive Science and Knowledge Engineering. A new semantic similarity measure is proposed in this paper, which exploits the knowledge retrieved from a semantic network (i.e., WordNet) and the Internet. In particular, the structure information from ...

At Boeing we have been attempting to use WordNet – an online lexical resource – for machine reasoning, using both its taxonomic information and other information (e.g., parts relations). While we get some leverage, it is clear that WordNet is drastically limited in the types of knowledge it contains. In this paper, we will describe our work in this area, some of our attempts to expand on WordNe...

Wikipedia provides a knowledge base for computing word relatedness in a more structured fashion than a search engine and with more coverage than WordNet. In this work we present experiments on using Wikipedia for computing semantic relatedness and compare it to WordNet on various benchmarking datasets. Existing relatedness measures perform better using Wikipedia than a baseline given by Google ...

Some reorganizations and modifications to the WordNet ontology are explained. These changes have been suggested by extensive testing of the ontological categories with an algorithm for semantic interpretation The algorithm is based on predicates that have been defined for WordNet verb classes. The selectional restrictions of the predicates are WordNet ontological categories.

This paper presents a multipurpose system for wordnet (WN) development, named Hydra. Hydra is an application for data editing and validation, as well as for data retrieval and synchronization between wordnets for different languages. The use of modal language for wordnet, the representation of wordnet as a relational database and the concurrent access are among its main advantages (Rizov, 2006).

The CIAOSENSO WSD system is based on Conceptual Density, WordNet Domains and frequences of WordNet senses. This paper describes the upvunige-CIAOSENSO WSD system, we participated in the english all-word task with, and its versions used for the english lexical sample and the WordNet gloss disambiguation tasks. In the last an additional goal was to check if the disambiguation of glosses, that has...