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
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},