Titlebook: Explorations in Automatic Thesaurus Discovery; Gregory Grefenstette Book 1994 Springer Science+Business Media New York 1994 Thesaurus.arti

cerebral-cortex

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malapropism

Applications,trate how two knowledge-poor techniques can reinforce each other. Then we show how a deeper exploration of the information extracted by SEXTANT permits the creation of clusters of words along semantic axes. Finally in the last section of this chapter, we organize all the disparate techniques develop

HAVOC

0893-3405 pared to those produced bypsychological testing. A method of evaluation using ArtificialSynonyms is tested. Gold Standards evaluation show that techniquessignif978-1-4613-6167-1978-1-4615-2710-7Series ISSN 0893-3405

微枝末節(jié)

https://doi.org/10.1007/978-3-030-12771-8trate how two knowledge-poor techniques can reinforce each other. Then we show how a deeper exploration of the information extracted by SEXTANT permits the creation of clusters of words along semantic axes. Finally in the last section of this chapter, we organize all the disparate techniques develop

粗糙

https://doi.org/10.1007/978-3-030-95806-0ne concept in a variety of ways. This variability raises the question of how the computer can know that words a person uses are related to words found in stored text? Any computer-based system that employs a natural, rather than an artificial, language in its dialogue with human users is faced with this problem.

衰老

衰老

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LAY

Evaluation,ompare words and produce list of similar words. Visual inspection of these lists gives the intuitive impression that the words on this lists are related. The purpose of this chapter is to demonstrate in some objective manner that the relationships extracted are what are commonly considered considered as semantic relationships.

tendinitis

Conclusion,motivation of this approach: the . problem that affects any computer-based manipulation of text, e.g., information retrieval, filtering, language understanding, human-computer interfaces, machine translation. This problem generated much research in computer-based semantics, a portion of which we reviewed before we presented our system SEXTANT.