Title
Descriptive and empirical approaches to capturing underlying dependencies among parsing errors
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.
Year
Venue
Keywords
2009
EMNLP
empirical approach,target error,error pattern,detailed error analysis,individual error,underlying dependency,parsing error,descriptive approach,hpsg parser show,error correction
Field
DocType
Volume
Head-driven phrase structure grammar,Computer science,Artificial intelligence,Natural language processing,Parsing,Sentence,Machine learning
Conference
D09-1
Citations 
PageRank 
References 
3
0.40
5
Authors
3
Name
Order
Citations
PageRank
Tadayoshi Hara11189.54
Yusuke Miyao21513125.14
Jun'ichi Tsujii33610232.96