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Lesk algorithm
Known as:
Lesk
The Lesk algorithm is a classical algorithm for word sense disambiguation introduced by Michael E. Lesk in 1986.
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Classic monolingual word-sense disambiguation
List of algorithms
Outline of natural language processing
Word-sense disambiguation
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Broader (2)
Computational linguistics
Natural language processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Review
2013
Review
2013
Theoretical Formulas of Semantic Measure: A Survey
Kalthoum Rezgui
,
Hédia Mhiri
,
K. Ghédira
2013
Corpus ID: 55279959
In recent years, several semantic similarity and relatedness measures have been developed and applied in many domains including…
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2010
2010
Assigning Library of Congress Classification Codes to Books Based Only on their Titles
Ricardo Ávila-Argüelles
,
Hiram Calvo
,
Alexander Gelbukh
,
Salvador Godoy-Calderón
Informatica
2010
Corpus ID: 15372858
Many publishers follow the Library of Congress Classification (LCC) scheme to indicate a classification code on the first pages…
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2009
2009
Comparing Similarity Measures for Original WSD Lesk Algorithm
S. Torres
,
Alexander Gelbukh
,
Unidad Profesional
,
A. Mateos
,
M. Othón
2009
Corpus ID: 16086995
| @ | gmail.com, www.gelbukh.com Abstract. There are many similarity measures to determine the similarity relatedness between two…
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Review
2005
Review
2005
Review of: Lesk, Michael. Understanding digital libraries. 2nd. ed.. San Francisco, CA: Morgan Kaufmann, 2004
M. Yetis
Information Research
2005
Corpus ID: 37827298
2004
2004
Word sense disambiguation using WordNet and the Lesk algorithm
Jonas Ekedahl
,
Koraljka Golub
2004
Corpus ID: 18334363
Word sense disambiguation is the process of automatically clarifying the meaning of a word in its context. It has drawn much…
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2004
2004
Performance Evaluation of WordNet-based Semantic Relatedness Measures for Word Prediction in Conversational Speech
Michael Andreas Pucher
2004
Corpus ID: 459861
The recognition of conversational speech is a hard problem. Semantic relatedness measures can improve speech recognition…
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Highly Cited
2003
Highly Cited
2003
Topic-based Vector Space Model
J. Becker
,
D. Kuropka
2003
Corpus ID: 53999545
This paper motivates and presents the Topic-based Vector Space Model (TVSM), a new vector-based approach for document comparison…
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2002
2002
Information Classification and Navigation Based on 5WlH of the Target Information
T. Ikeda
,
Akitoshi Okumura
,
K. Muraki
International Conference on Computational…
2002
Corpus ID: 219301979
This paper proposes a method by which 5W1H (who, when, where, what, why, how, and predicate) information is used to classify and…
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1996
1996
Event-Predicate Detection in the Debugging of Distributed Applications
Christian Eugene Jaekl
,
P. Buhr
,
J. Black
,
M. Nidd
,
Raoul Medina
1996
Corpus ID: 62673628
Trends in the development of computer hardware are making the use of distributed systems increasingly attractive. The collection…
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1982
1982
Responses to oral gland scents from different males in Columbian ground squirrels
BY M. A. Harris
,
J. Murie
Animal Behaviour
1982
Corpus ID: 53163609
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