Document (#27779)

Author
Martínez, F.
Martín, M.T.
Rivas, V.M.
Díaz, M.C.
Ureña, L.A.
Title
Using neural networks for multiword recognition in IR
Source
Challenges in knowledge representation and organization for the 21st century: Integration of knowledge across boundaries. Proceedings of the 7th ISKO International Conference Granada, Spain, July 10-13, 2002. Ed.: M. López-Huertas
Imprint
Würzburg : Ergon Verlag
Year
2003
Pages
S.559-564
Series
Advances in knowledge organization; vol.8
Abstract
In this paper, a supervised neural network has been used to classify pairs of terms as being multiwords or non-multiwords. Classification is based an the values yielded by different estimators, currently available in literature, used as inputs for the neural network. Lists of multiwords and non-multiwords have been built to train the net. Afterward, many other pairs of terms have been classified using the trained net. Results obtained in this classification have been used to perform information retrieval tasks. Experiments show that detecting multiwords results in better performance of the IR methods.
Theme
Computerlinguistik

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