This paper analyzes the effect of the structural variation of sentences on parsing performance. We examine the performance of both shallow and deep parsers for two sentence constructions: imperatives and questions. We first prepare an annotated corpus for each of these sentence constructions by extracting sentences from a fiction domain that cover various types of imperatives and questions. The target parsers are then adapted to each of the obtained corpora as well as the existing query-focused corpus. Analysis of the experimental results reveals that the current mainstream parsing technologies and adaptation techniques cannot cope with different sentence constructions even with much in-domain data.
['T. Hara', 'Takuya Matsuzaki', 'Yusuke Miyao', "Jun'ichi Tsujii"]
Exploring Difficulties in Parsing Imperatives and Questions