A Combination of Active Learning and Semi-supervised Learning Starting with Positive and Unlabeled Examples for Word Sense Disambiguation: An Empirical Study on Japanese Web Search Query

Makoto Imamura, Yasuhiro Takayama, Nobuhiro Kaji, Masashi Toyoda, Masaru Kitsuregawa


Anthology ID:
P09-2016
Volume:
Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Month:
August
Year:
2009
Address:
Suntec, Singapore
Venues:
ACL | IJCNLP
SIG:
Publisher:
Association for Computational Linguistics
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Pages:
61–64
Language:
URL:
https://aclanthology.org/P09-2016
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Cite (ACL):
Makoto Imamura, Yasuhiro Takayama, Nobuhiro Kaji, Masashi Toyoda, and Masaru Kitsuregawa. 2009. A Combination of Active Learning and Semi-supervised Learning Starting with Positive and Unlabeled Examples for Word Sense Disambiguation: An Empirical Study on Japanese Web Search Query. In Proceedings of the ACL-IJCNLP 2009 Conference Short Papers, pages 61–64, Suntec, Singapore. Association for Computational Linguistics.
Cite (Informal):
A Combination of Active Learning and Semi-supervised Learning Starting with Positive and Unlabeled Examples for Word Sense Disambiguation: An Empirical Study on Japanese Web Search Query (Imamura et al., ACL-IJCNLP 2009)
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https://preview.aclanthology.org/emnlp-22-attachments/P09-2016.pdf