Automatic construction of labeled clusters of named entities for IR: Thesis for European Master's in Language and Communication Technology - Couverture souple

Teffera, Henock Tilahun

9783844334722: Automatic construction of labeled clusters of named entities for IR: Thesis for European Master's in Language and Communication Technology

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ISBN 10 : 3844334726 ISBN 13 : 9783844334722

Editeur : LAP Lambert Academic Publishing, 2011

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In this study we have tried to harvest labeled clusters of semantically similar named entities which can be used as a first step for web document clustering. We first collect ~44,000 named entities from a thesaurus which is constructed by Dekang Lin applying a word similarity measure based on their distributional pattern. Using their similarity metrics and CLUTO clustering software, we create 2000 semantically similar clusters of the named entities. Then we collect ~305,500 label-instance pairs from the 2007 English Wikipedia dump and implement a labeling algorithm presented by Benjamin Van Durme and M.Pas�a (2008) to assign a label to the clusters. This automatic lableing task is able to assign a label which describes the majority of the named entities in 924 of the clusters, which is 46.2% of the total clusters. Finally we evaluate both the clustering and labeling tasks taking 86 randomly selected clusters and on the bases of two native English speaker evaluators‟ subjective judgment. According to these evaluators, the clustering task has a purity score of 0.7 and 55% of the labels are acceptable with different degree of accuracy.

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� propos de l'auteur

I have studied computer science at Mekelle University, Ethiopia. Immediately after graduation, I got teaching assistant job in the same department where I studied. I have worked in the University for two years and awarded Erasmus Mundus scholarship to continue my master’s study in Language and communication technology.

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�diteur: LAP Lambert Academic Publishing
Date d'�dition: 2011
Langue: anglais
ISBN 10: 3844334726
ISBN 13: 9783844334722
Reliure: Broch�
Nombre de pages: 64
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Automatic construction of labeled clusters of named entities for IR

Henock Tilahun Teffera

Edit� par LAP LAMBERT Academic Publishing Mai 2011, 2011

ISBN 10 : 3844334726 ISBN 13 : 9783844334722

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this study we have tried to harvest labeled clusters of semantically similar named entities which can be used as a first step for web document clustering. We first collect ~44,000 named entities from a thesaurus which is constructed by Dekang Lin applying a word similarity measure based on their distributional pattern. Using their similarity metrics and CLUTO clustering software, we create 2000 semantically similar clusters of the named entities. Then we collect ~305,500 label-instance pairs from the 2007 English Wikipedia dump and implement a labeling algorithm presented by Benjamin Van Durme and M.Pas�a (2008) to assign a label to the clusters. This automatic lableing task is able to assign a label which describes the majority of the named entities in 924 of the clusters, which is 46.2% of the total clusters. Finally we evaluate both the clustering and labeling tasks taking 86 randomly selected clusters and on the bases of two native English speaker evaluators subjective judgment. According to these evaluators, the clustering task has a purity score of 0.7 and 55% of the labels are acceptable with different degree of accuracy. 64 pp. Englisch. N� de r�f. du vendeur 9783844334722

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Automatic construction of labeled clusters of named entities for IR

Henock Tilahun Teffera

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Automatic construction of labeled clusters of named entities for IR

Teffera Henock Tilahun

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Automatic construction of labeled clusters of named entities for IR

Teffera Henock Tilahun

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Automatic construction of labeled clusters of named entities for IR

Henock Tilahun Teffera

Edit� par LAP LAMBERT Academic Publishing, 2011

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Teffera Henock TilahunI have studied computer science at Mekelle University, Ethiopia. Immediately after graduation, I got teaching assistant job in the same department where I studied. I have worked in the University for two years. N� de r�f. du vendeur 5473835

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Automatic construction of labeled clusters of named entities for IR

Henock Tilahun Teffera

Edit� par LAP LAMBERT Academic Publishing Mai 2011, 2011

ISBN 10 : 3844334726 ISBN 13 : 9783844334722

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this study we have tried to harvest labeled clusters of semantically similar named entities which can be used as a first step for web document clustering. We first collect ~44,000 named entities from a thesaurus which is constructed by Dekang Lin applying a word similarity measure based on their distributional pattern. Using their similarity metrics and CLUTO clustering software, we create 2000 semantically similar clusters of the named entities. Then we collect ~305,500 label-instance pairs from the 2007 English Wikipedia dump and implement a labeling algorithm presented by Benjamin Van Durme and M.Pas�a (2008) to assign a label to the clusters. This automatic lableing task is able to assign a label which describes the majority of the named entities in 924 of the clusters, which is 46.2% of the total clusters. Finally we evaluate both the clustering and labeling tasks taking 86 randomly selected clusters and on the bases of two native English speaker evaluators� subjective judgment. According to these evaluators, the clustering task has a purity score of 0.7 and 55% of the labels are acceptable with different degree of accuracy.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 64 pp. Englisch. N� de r�f. du vendeur 9783844334722

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Automatic construction of labeled clusters of named entities for IR : Thesis for European Master's in Language and Communication Technology

Henock Tilahun Teffera

Edit� par LAP LAMBERT Academic Publishing, 2011

ISBN 10 : 3844334726 ISBN 13 : 9783844334722

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this study we have tried to harvest labeled clusters of semantically similar named entities which can be used as a first step for web document clustering. We first collect ~44,000 named entities from a thesaurus which is constructed by Dekang Lin applying a word similarity measure based on their distributional pattern. Using their similarity metrics and CLUTO clustering software, we create 2000 semantically similar clusters of the named entities. Then we collect ~305,500 label-instance pairs from the 2007 English Wikipedia dump and implement a labeling algorithm presented by Benjamin Van Durme and M.Pas�a (2008) to assign a label to the clusters. This automatic lableing task is able to assign a label which describes the majority of the named entities in 924 of the clusters, which is 46.2% of the total clusters. Finally we evaluate both the clustering and labeling tasks taking 86 randomly selected clusters and on the bases of two native English speaker evaluators subjective judgment. According to these evaluators, the clustering task has a purity score of 0.7 and 55% of the labels are acceptable with different degree of accuracy. N� de r�f. du vendeur 9783844334722

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