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Abstract
In this paper, we present an approach to building neural representations of the Wikipedia category graph. We test four different methods and examine the neural embeddings in terms of preservation of graphs edges, neighborhood coverage in representation space, and their influence on the results of a task predicting parent of two categories. The main contribution of this paper is application of neural representations for improving the structure of Wikipedia categories graph. We also show that a neural representation based solely on categories’ names can be an alternative to the other representations build using more complex approaches.
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Authors (5)
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Higinio Mora
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David Gil
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Keywords
Details
- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- 2021 IEEE Congress on Evolutionary Computation (CEC) strony 660 - 665
- Language:
- English
- Publication year:
- 2021
- Bibliographic description:
- Majkutewicz J., Szymański J., Sobecki A., Mora H., Gil D..: Embedded Representations of Wikipedia Categories, W: 2021 IEEE Congress on Evolutionary Computation (CEC), 2021, ,.
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/cec45853.2021.9504802
- Verified by:
- Gdańsk University of Technology
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