Annette McElligott

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In order to develop computer systems which can process the content of natural language texts it is necessary to capture the meaning of words in a way which is robust and domain independent. In this article we discuss a particular kind of word representation based on sets of weighted semantic features. We describe how a lexicon of such patterns can be(More)
Topics: techniques for building ontologies, the relationship between ontolo-gies and linguistics, the role of terminology. Abstract While the Princeton WordNet is an excellent general purpose concept ontology it can not be expected to provide exhaustive coverage of terminology in speciic technical domains. This article describes how a set of 5200 word(More)
This book is a collection of articles written by research teams (eight from seven countries) that participated in the workshop Industrial Parsing of Software Manuals, held at the University of Limerick, Ireland, in 1995. However, unlike a typical proceedings volume, the book has a strong unifying theme: reporting the behavior and measuring the performance(More)
  • Richard F. E. Sutcli, Annelies Bony, +13 authors Piek Vosseny
  • 1995
SIFT (Selecting Information From Text) is a prototype text retrieval system which is intended to nd portions of a technical manual whose meanings are related to that of an input query. This is accomplished by using a semantic representation scheme based on ontological distance. Our initial ndings are that the distance measure and utterance matching(More)
C OGNITIVE STYLE is a "potent learner characteristic that can have a significant effect on learner achievement" (Hayes & Allinson, 1997, p. 185). However, further exploration is required before links among cognitive style, performance, and other aspects of learners' experience are more clearly understood. This study explores the relationship among cognitive(More)
The objective of this work is to investigate methods by which word senses in a variety of different languages can be mapped onto a core concept ontology. Two experiments have been carried out using the Princeton WordNet. In the first, Russian word senses were mapped onto WordNet synsets. In the second, WordNet synsets were mapped onto Irish word senses. The(More)
  • Richard F. E. Sutcli, Donie O Sullivan, Leonid Aleksejevich Kuzminx, Annette McElligott
  • 1996
One of the most interesting linguistic resources to appear in recent years is WordNet, a wide coverage taxonomic lexical database developed at the University of Princeton under the direction of Professor George Miller (Beckwith, Fellbaum, Gross and Miller, 1992). WordNet contains two main types of data. First, it gives dictionary deenitions for word senses(More)
Our interest is in developing techniques for constructing a semantic lexicon of broad coverage from machine tractable resources. We work within a paradigm in which each word sense is represented as a vector in an ndimensional feature space. So far our experiments have encompassed the MerriamWebster Compact Electronic Dictionary, the Irish An Focl6ir Beag(More)
1.1 Introduction Parsing is the grammatical analysis of text. A parser is a computer program which can carry out this analysis automatically on an input provided in machine readable form. For example, given an utterance such as L22: Select the text you want to protect. This can be interpreted as saying that the input was a sentence comprising a single verb(More)