6 March: Inductive Logic Programming
Index of March 2002 | Index of year: 2002 | Full index
Howdy,
Unfortunately, the paper for this week is available only now, as I
took too long to get it selected and copied. Realistically, I guess
there isn't time to read it for this week.
How about if we do this one next Wednesday at 8pm in Mahaffy's, and in
the following week the chapter from the mental models and anaphora
book?
Copies are available outside ORI G27.
@inproceedings{sebillot:LLL00,
author = "Pascale S{\'e}billot and Pierrette Bouillon and
C{\'e}cile Fabre",
title = "Inductive Logic Programming for Corpus-Based Acquisition
of Semantic Lexicons",
editors = "Claire Cardie and Walter Daelemans and Claire
Nedellec and Tjong Kim Sang, Erik",
booktitle = "Proceedings of the Fourth Conference on Computational Natural Language Learning and
of the Second Learning Language in Logic Workshop",
publisher = "Lisbon, Portugal",
pages = "199--208",
year = "2000",
keywords = {Language_Learning},
abstract = {In this paper, we propose an Inductive Logic Programming
learning method which aims at automatically extracting special
Noun-Verb (N-V) pairs from a corpus in order to build up semantic
lexicons based on Pustejovsky's Generative Lexicon (GL)
principles (Pustejovsky, 1995). In one of the components of this lexical
model, called the qualia structure, words are described in
terms of semantic roles. For example, the telic role indicates the
purpose or function of an item (cut for knife), the agentive role its
creation mode (build for house), etc. The qualia structure of a noun is
mainly made up of verbal associations, encoding relational
information. The Inductive Logic Programming learning method that we
have developed enables us to automatically extract from a
corpus N-V pairs whose elements are linked by one of the semantic
relations defined in the qualia structure in GL, and to distinguish
them, in terms of surrounding categorial context from N-V pairs also
present in sentences of the corpus but not relevant. This
method has been theoretically and empirically validated, on a technical
corpus. The N-V pairs that have been extracted will further
be used in information retrieval applications for index expansion.
}}
Take care,
Carl
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