| Authors |
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| Publication date |
2008
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| Book title |
Coling 2008: 22nd International Conference on Computational Linguistics: Proceedings of the conference: Volume 1
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| ISBN |
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| Event |
22nd International Conference on Computational Linguistics (Coling 2008), Manchester, UK
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| Pages (from-to) |
417-424
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| Publisher |
Stroudsburg, PA: Association for Computational Linguistics (ACL)
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| Organisations |
-
Faculty of Science (FNWI) - Informatics Institute (IVI)
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| Abstract |
This paper discusses local alignment kernels in the context of the relation extraction task. We define a local alignment kernel based on the Smith-Waterman measure as a sequence similarity metric and proceed with a range of possibilities for computing a similarity between elements of sequences. We propose to use distributional similarity measures on elements and by doing so we are able to incorporate extra information from the unlabeled data into a learning task. Our experiments suggest that a LA kernel provides promising results on some biomedical corpora largely outperforming a baseline.
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| Document type |
Conference contribution
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| Published at |
http://aclweb.org/anthology-new/C/C08/C08-1053.pdf
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