Abstract
This paper describes a method of adapting a domain-independent HPSG parser to a biomedical domain. Without modifying the grammar and the probabilistic model of the original HPSG parser, we develop a log-linear model with additional features on a treebank of the biomedical domain. Since the treebank of the target domain is limited, we need to exploit an original disambiguation model that was trained on a larger treebank. Our model incorporates the original model as a reference probabilistic distribution. The experimental results for our model trained with a small amount of a treebank demonstrated an improvement in parsing accuracy.
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Hara, T., Miyao, Y., Tsujii, J. (2005). Adapting a Probabilistic Disambiguation Model of an HPSG Parser to a New Domain. In: Dale, R., Wong, KF., Su, J., Kwong, O.Y. (eds) Natural Language Processing – IJCNLP 2005. IJCNLP 2005. Lecture Notes in Computer Science(), vol 3651. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11562214_18
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DOI: https://doi.org/10.1007/11562214_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29172-5
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