Adapting a Probabilistic Disambiguation Model of an HPSG Parser to a New Domain

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.

• Type: Conference
• Year: 2005
• Where: IJCNLP
• Authors: Tadayoshi Hara, Yusuke Miyao, Jun-ichi Tsujii
• Keywords: HPSG Parser, IJCNLP 2005, Model, Natural Language Processing, Treebank