Resource of Wikipedias in 31 Languages Categorized into Fine-Grained Named Entities

no code implementations • COLING 2022 • Satoshi Sekine, Kouta Nakayama, Masako Nomoto, Maya Ando, Asuka Sumida, Koji Matsuda

The training data were provided by Japanese categorization and the language links, and the task was to categorize the Wikipedia pages into 30 languages, with no language links from Japanese Wikipedia (20M pages in total).

Attribute Attribute Extraction +2

SHINRA2020-ML: Categorizing 30-language Wikipedia into fine-grained NE based on "``Resource by Collaborative Contribution" scheme

no code implementations • AKBC 2021 • Satoshi Sekine, Kouta Nakayama, Maya Ando, Yu Usami, Masako Nomoto, Koji Matsuda

In our "Resource by Collaborative Contribution (RbCC)" scheme, we conducted a shared task of structuring Wikipedia to attract participants but simultaneously submitted results are used to construct a knowledge base.

Ensemble Learning