Campus Event Calendar
Event Entry
What and Who
"Word Sense Disambiguation for Ontological Document Classification
Georgiana Ifrim
IMPRS
Masters' Lunch
AG 1, AG 2, AG 3, AG 4, AG 5
MPI Audience
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Date, Time and Location
Tuesday, 2 November 2004
12:59
-- Not specified --
46.1 - MPII
022
Saarbrücken
Warning: New Room!
Abstract
For both classification and retrieval of natural language text documents,
the standard document representation is a term vector where a term is
simply a morphological normal form of the corresponding word. A
potentially better approach would be to map every word onto a concept, the
proper word sense, based on the word's context in the document and an
ontological knowledge base with concept
descriptions and semantic relationships among concepts.
We present in this talk a generative model approach to text
categorization, that exploits semantical language information by means of
word sense disambiguation and imposes additional model assumptions, and we
also systematically study its performance in comparison with other
approaches.
the standard document representation is a term vector where a term is
simply a morphological normal form of the corresponding word. A
potentially better approach would be to map every word onto a concept, the
proper word sense, based on the word's context in the document and an
ontological knowledge base with concept
descriptions and semantic relationships among concepts.
We present in this talk a generative model approach to text
categorization, that exploits semantical language information by means of
word sense disambiguation and imposes additional model assumptions, and we
also systematically study its performance in comparison with other
approaches.
Contact
Kerstin Kathy Meyer-Ross
93 25 226
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Kerstin Meyer-Ross, 10/28/2004 09:06 -- Created document.