Mining for unambiguous instances to adapt POS taggers to new domains

Dirk Hovy; Barbara Plank; Hector Martinez Alonso; Anders Søgaard

Mining for unambiguous instances to adapt POS taggers to new domains

Dirk Hovy, Barbara Plank, Hector Martinez Alonso, Anders Søgaard

Original language	English
Title of host publication	Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies : NAACL 2015
Number of pages	6
Publisher	Association for Computational Linguistics
Publication date	2015
Pages	1256-1261
ISBN (Print)	978-1-941643-49-5
Publication status	Published - 2015

Access to Document

http://www.aclweb.org/anthology/N15-1135

Cite this

Hovy, D., Plank, B., Martinez Alonso, H., & Søgaard, A. (2015). Mining for unambiguous instances to adapt POS taggers to new domains. In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: NAACL 2015 (pp. 1256-1261). Association for Computational Linguistics. http://www.aclweb.org/anthology/N15-1135

Mining for unambiguous instances to adapt POS taggers to new domains. / Hovy, Dirk; Plank, Barbara; Martinez Alonso, Hector et al.
Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: NAACL 2015. Association for Computational Linguistics, 2015. p. 1256-1261.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Hovy, D, Plank, B, Martinez Alonso, H & Søgaard, A 2015, Mining for unambiguous instances to adapt POS taggers to new domains. in Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: NAACL 2015. Association for Computational Linguistics, pp. 1256-1261. <http://www.aclweb.org/anthology/N15-1135>

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