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BabelNet is a multilingual lexicalized semantic network and ontology developed at the NLP group of the Sapienza University of Rome. [1][2] BabelNet was automatically created by linking Wikipedia to the most popular computational lexicon of the English language, WordNet. The integration is done using an automatic mapping and by filling in ...
WordNet is a lexical database of semantic relations between words that links words into semantic relations including synonyms, hyponyms, and meronyms. The synonyms are grouped into synsets with short definitions and usage examples. It can thus be seen as a combination and extension of a dictionary and thesaurus.
Word -sense disambiguation is the process of identifying which sense of a word is meant in a sentence or other segment of context. In human language processing and cognition, it is usually subconscious. Given that natural language requires reflection of neurological reality, as shaped by the abilities provided by the brain's neural networks ...
BabelNet is an automatically lexical semantic resource that links Wikipedia to the most popular computational lexicons such as WordNet. At first glance, UBY and BabelNet seem to be identical and competitive projects; however, the two resources follow different philosophies.
Babelfy is based on the BabelNet multilingual semantic network and performs disambiguation and entity linking in three steps: It associates with each vertex of the BabelNet semantic network, i.e., either concept or named entity, a semantic signature, that is, a set of related vertices. This is a preliminary step which needs to be performed only ...
BabelNet, a very large multilingual semantic network and ontology, lexicalized in many languages; Basic Formal Ontology, [38] a formal upper ontology designed to support scientific research; BioPAX, [39] an ontology for the exchange and interoperability of biological pathway (cellular processes) data
Basics of semantic networks. A semantic network is used when one has knowledge that is best understood as a set of concepts that are related to one another. Most semantic networks are cognitively based. They consist of arcs (spokes) and nodes (hubs) which can be organized into a taxonomic hierarchy.
Semantic decomposition (natural language processing) A semantic decomposition is an algorithm that breaks down the meanings of phrases or concepts into less complex concepts. [1] The result of a semantic decomposition is a representation of meaning. [2] This representation can be used for tasks, such as those related to artificial intelligence ...