Contextual word sense tuning and disambiguation

摘要: The discrimination of word senses, sense disambiguation (WSD), is a major problem in natural language processing (NLP) applications, e.g., text classification and understanding. determining the correct lexical items raw texts relevant to activities categorization, machine translation, information retrieval, any engineering task. Problems are related pervasive ambiguity words their use texts. Moreover, specificity senses knowledge domains, where used, tends augment complexity task, affecting completeness most on-line sources, like dictionaries general purpose resources. In this article an integrated method based on well-known base (i.e., WordNet) corpus statistics used tune specific sublanguage drive contextual senses. results system (General Purpose Ontolog...