Word Sense Disambiguation
Tutorial in PowerPoint Presentation Format
A
New Algorithm for Word Sense Disambiguation
Word
Sense Disambiguation and Information Retrieval (PDF)
Paper at the University of Glasgow
Topic
Oriented Query Expansion for Web Search
Paper at the Univ. of Glasgow
Automatic
Word Sense Discrimination
Word
Sense Ambiguation: Clustering Related Senses (PDF)
Abstract: This paper describes a heuristic approach to automatically
identifying which senses of a machinereadable dictionary (MRD)
headword are semantically related versus those which correspond
to fundamentally different senses of the word. The inclusion
of this information in a lexical database profoundly alters
the nature of sense disambiguation: the appropriate "sense"
of a polysemous word may now correspond to some set of related
senses.
Word
Sense Ambiguation: Clustering Related Senses
Paper from Microsoft Research (MS Word Document)
"This paper describes a heuristic approach to automatically
identifying which senses of a machine- readable dictionary (MRD)
headword are semantically related versus those which correspond
to fundamentally different senses of the word. The inclusion
of this information in a lexical database profoundly alters
the nature of sense disambiguation: the appropriate "sense"
of a polysemous word may now correspond to some set of related
senses. Our technique offers benefits both for on-line semantic
processing and for the challenging task of mapping word senses
across multiple MRDs in creating a merged lexical database."
Meaningful
Clustering of Senses Helps Boost Word Sense Disambiguation Performance
(PDF)
I
Don't Believe in Word Senses (1997 paper: PDF)
Abstract: Word sense disambiguation assumes word senses.
Within the lexicography and linguistics literature, they are
known to be very slippery entities. The paper looks at problems
with existing accounts of `word sense' and describes the various
kinds of ways in which a word's meaning can deviate from its
core meaning. An analysis is presented in which word senses
are abstractions from clusters of corpus citations, in accordance
with current lexicographic practice.
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