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WordNet has been used for a number of purposes in information systems, including word-sense disambiguation, information retrieval, automatic text classification, automatic text summarization, machine translation and even automatic crossword puzzle generation. A common use of WordNet is to determine the similarity between words. Various ...
The underlying assumption is that similar senses occur in similar contexts, and thus senses can be induced from text by clustering word occurrences using some measure of similarity of context, [27] a task referred to as word sense induction or discrimination. Then, new occurrences of the word can be classified into the closest induced clusters ...
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.
all-words task implies disambiguating all the words of the text; lexical sample consists in disambiguating some previously chosen target words. It is assumed that the former one is more realistic evaluation, although with very laborious testing of results. Initially only the latter was used in evaluation but later the former was included.
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).
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.
This page was last edited on 9 December 2016, at 21:47 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.
The Postmodernism Generator is a computer program that automatically produces "close imitations" of postmodernist writing. It was written in 1996 by Andrew C. Bulhak of Monash University using the Dada Engine, a system for generating random text from recursive grammars. [1] A free version is also hosted online.