Repozytorium publikacji - Politechnika Gdańska

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.

Autorzy

• mgr inż. Jan Majkutewicz link otwiera się w nowej karcie ,
• dr hab. inż. Julian Szymański link otwiera się w nowej karcie ,
• dr inż. Andrzej Sobecki link otwiera się w nowej karcie ,
• Higinio Mora,
• David Gil