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EMNLP
2007

Using Foreign Inclusion Detection to Improve Parsing Performance

9 years 2 months ago
Using Foreign Inclusion Detection to Improve Parsing Performance
Inclusions from other languages can be a significant source of errors for monolingual parsers. We show this for English inclusions, which are sufficiently frequent to present a problem when parsing German. We describe an annotation-free approach for accurately detecting such inclusions, and develop two methods for interfacing this approach with a state-of-the-art parser for German. An evaluation on the TIGER corpus shows that our inclusion entity model achieves a performance gain of 4.3 points in F-score over a baseline of no inclusion detection, and even outperforms a parser with access to gold standard part-of-speech tags.
Beatrice Alex, Amit Dubey, Frank Keller
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where EMNLP
Authors Beatrice Alex, Amit Dubey, Frank Keller
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