Descriptive and empirical approaches to capturing underlying dependencies among parsing errors
Year: 2009
Type: conference-paper
Abstract: In this paper, we provide descriptive and empirical approaches to effectively extracting underlying dependencies among parsing errors. In the descriptive approach, we define some combinations of error patterns and extract them from given errors. In the empirical approach, on the other hand, we re-parse a sentence with a target error corrected and observe errors corrected together. Experiments on an HPSG parser show that each of these approaches can clarify the dependencies among individual errors from each point of view. Moreover, the comparison between the results of the two approaches shows that combining these approaches can achieve a more detailed error analysis.
Authors: Tadayoshi Hara, Yusuke Miyao, Jun'ichi Tsujii
Institutions: The University of Tokyo, University of Manchester
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W1996948875