Measuring adjective spaces

Authors:
Timo Honkela;Tiina Lindh-Knuutila;Krista Lagus
Affiliations:
Adaptive Informatics Research Centre, Aalto University of Science and Technology, Aalto;Adaptive Informatics Research Centre, Aalto University of Science and Technology, Aalto;Adaptive Informatics Research Centre, Aalto University of Science and Technology, Aalto
Venue:
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part I
Year:
2010

Citing 2
Cited 1

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Abstract

In this article, we use the model adjectives using a vector space model. We further employ three different dimension reduction methods, the Principal Component Analysis (PCA), the Self-Organizing Map (SOM), and the Neighbor Retrieval Visualizer (NeRV) in the projection and visualization task, using antonym test for evaluation. The results show that while the results between the three methods are comparable, the NeRV performs best of the three, and all of them are able to preserve meaningful information for further analysis.