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Frustratingly easy domain adaptation

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If you have a question about this talk, please contact Diarmuid Ó Séaghdha.

At this session of the NLIP Reading Group we’ll be discussing the following paper:

Hal Daumé III . 2007. Frustratingly easy domain adaptation. In Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics (ACL-07).

Abstract: We describe an approach to domain adaptation that is appropriate exactly in the case when one has enough “target” data to do slightly better than just using only “source” data. Our approach is incredibly simple, easy to implement as a preprocessing step (10 lines of Perl!) and outperforms state-of-the-art approaches on a range of datasets. The technique comes with several simple theoretical guarantees. Moreover, it is trivially extended to a multi-domain adaptation problem, where one has data from a variety of different domains.

This talk is part of the Natural Language Processing Reading Group series.

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