High-quality Training Data Selection using Latent Topics for Graph-based Semi-supervised Learning

Akiko Eriguchi, Ichiro Kobayashi


Anthology ID:
P13-3020
Volume:
51st Annual Meeting of the Association for Computational Linguistics Proceedings of the Student Research Workshop
Month:
August
Year:
2013
Address:
Sofia, Bulgaria
Editors:
Anik Dey, Sebastian Krause, Ivelina Nikolova, Eva Vecchi, Steven Bethard, Preslav I. Nakov, Feiyu Xu
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
136–141
Language:
URL:
https://aclanthology.org/P13-3020
DOI:
Bibkey:
Cite (ACL):
Akiko Eriguchi and Ichiro Kobayashi. 2013. High-quality Training Data Selection using Latent Topics for Graph-based Semi-supervised Learning. In 51st Annual Meeting of the Association for Computational Linguistics Proceedings of the Student Research Workshop, pages 136–141, Sofia, Bulgaria. Association for Computational Linguistics.
Cite (Informal):
High-quality Training Data Selection using Latent Topics for Graph-based Semi-supervised Learning (Eriguchi & Kobayashi, ACL 2013)
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PDF:
https://preview.aclanthology.org/nschneid-patch-3/P13-3020.pdf