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Автор PREISS, JUDITA
Дата выпуска 2006
dc.description We compare the word sense disambiguation systems submitted for the English-all-words task in SENSEVAL-2. We give several performance measures for the systems, and analyze correlations between system performance and word features. A decision tree learning algorithm is employed to discover the situations in which systems perform particularly well, and the resulting decision tree is examined. We investigate using a decision tree based on the SENSEVAL systems to (i) filter out senses unlikely to be correct, and to (ii) combine WSD systems. Some combinations created in this way outperform the best SENSEVAL system.
Издатель Cambridge University Press
Название A detailed comparison of WSD systems: an analysis of the system answers for the SENSEVAL-2 English all words task
DOI 10.1017/S1351324906004281
Electronic ISSN 1469-8110
Print ISSN 1351-3249
Журнал Natural Language Engineering
Том 12
Первая страница 209
Последняя страница 228
Аффилиация PREISS JUDITA; Computer Laboratory
Выпуск 3

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