Martínez, F.; Martín, M.T.; Rivas, V.M.; Díaz, M.C.; Ureña, L.A.: Using neural networks for multiword recognition in IR (2003)
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- 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.
