Learning to Augment a Machine-Readable Dictionary

By November 17, 2016,
Page 107-116
Author Robert Krovetz
Title Learning to Augment a Machine-Readable Dictionary
Abstract Dictionaries will always be incomplete; sometimes a word will acquire a new sense in a technical field, and new words are being added to the language all the time. This paper will discuss our comparisons between a machine-readable dictionary and various information retrieval test collections. We will first report on the number of words found in the dictionary, and how much improvement is gained by going to a larger dictionary. We will then discuss experiments concerned with augmenting the dictionary with information acquired from the corpus, and by exploiting redundancy within the dictionary itself.
Session PART 1 - Word meaning / lexical semantics
Keywords
BibTex 
@InProceedings{ELX94-015,
	   author = {Robert Krovetz},
	   title = {Learning to Augment a Machine-Readable Dictionary},
	   pages = {107-116},
	   booktitle = {Proceedings of the 6th EURALEX International Congress},
	   year = {1994},
	   month = {aug-sep},
	   date = {30-3},
	   address = {Amsterdam, the Netherlands},
	   editor = {Willy Martin, Willem Meijs, Margreet Moerland, Elsemiek ten Pas, Piet van Sterkenburg & Piek Vossen},
	   publisher = {Euralex},
	   isbn = {90-900-7537-2},
	}
Download