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
- Editors:
- Keh-Yih Su, Jian Su, Janyce Wiebe, Haizhou Li
- Venues:
- ACL | IJCNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 61–64
- Language:
- URL:
- https://aclanthology.org/P09-2016
- DOI:
- 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/P09-2016.pdf