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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.
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.
Often the senses of a word are related to each other within a semantic field.A common pattern is that one sense is broader and another narrower. This is often the case in technical jargon, where the target audience uses a narrower sense of a word that a general audience would tend to take in its broader sense.
In computational linguistics, word-sense induction (WSI) or discrimination is an open problem of natural language processing, which concerns the automatic identification of the senses of a word (i.e. meanings).
During the first Senseval workshop the HECTOR sense inventory was adopted. The reason for adopting a previously unknown sense inventory was mainly to avoid the use of popular fine-grained word senses (such as WordNet), which could make the experiments unfair or biased.
Lesk algorithm is a classical algorithm for word sense disambiguation introduced by Michael E. Lesk in 1986. [1] It operates on the premise that words within a given context are likely to share a common meaning.
This page was last edited on 12 December 2019, at 20:22 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.
A paper generator is computer software that composes scholarly papers in the style of those that appear in academic journals or conference proceedings. Typically, the generator uses technical jargon from the field to compose sentences that are grammatically correct and seem erudite but are actually nonsensical. [ 1 ]