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%0 Conference Proceedings
%T 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
%A Imamura, Makoto
%A Takayama, Yasuhiro
%A Kaji, Nobuhiro
%A Toyoda, Masashi
%A Kitsuregawa, Masaru
%Y Su, Keh-Yih
%Y Su, Jian
%Y Wiebe, Janyce
%Y Li, Haizhou
%S Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
%D 2009
%8 August
%I Association for Computational Linguistics
%C Suntec, Singapore
%F imamura-etal-2009-combination
%U https://aclanthology.org/P09-2016
%P 61-64

Markdown (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](https://aclanthology.org/P09-2016) (Imamura et al., ACL-IJCNLP 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 (Imamura et al., ACL-IJCNLP 2009)

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.