![]() Each synset has a gloss that defines the concept it represents. Synsets are equivalent to senses = structures containing sets of terms with synonymous meanings. Each sense of a word is in a different synset. The specific meaning of one word under one type of POS is called a sense. It includes the word, its explanation, and its synonyms. The smallest unit in a WordNet is synset, which represents a specific meaning of a word. WordNet was designed to establish the connections between four types of Parts of Speech (POS) - noun, verb, adjective, and adverb. There is a multilingual WordNet for European languages which is structured in the same way as the English language WordNet. WordNet is a lexical database which is available online, and provides a large repository of English lexical items. Encourage you to work with the interesting topic of NLP.īefore we go any further, let us start with some brief introduction of the groundwork.Present to you some dictionary-based algorithms to capture the semantic similarity between two sentences, which is heavily based on the WordNet semantic dictionary.It is difficult to gain a high accuracy score because the exact semantic meanings are completely understood only in a particular context. Semantic similarity is a confidence score that reflects the semantic relation between the meanings of two sentences. Today, we are back to discuss another approach that is more concerned with the meaning of words. In the previous article, we presented an approach for capturing similarity between words that was concerned with the syntactic similarity of two strings. (See the article on how to get a working copy of the repository.) Introduction
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