Paper: Adapting a Parser to Clinical Text by Simple Pre-processing Rules

ACL ID W13-1912
Title Adapting a Parser to Clinical Text by Simple Pre-processing Rules
Venue Workshop on Biomedical Natural Language Processing
Session
Year 2013
Authors

Sentence types typical to Swedish clini- cal text were extracted by comparing sen- tence part-of-speech tag sequences in clin- ical and in standard Swedish text. Parsings by a syntactic dependency parser, trained on standard Swedish, were manually ana- lysed for the 33 sentence types most typ- ical to clinical text. This analysis re- sulted in the identification of eight error types, and for two of these error types, pre- processing rules were constructed to im- prove the performance of the parser. For all but one of the ten sentence types af- fected by these two rules, the parsing was improved by pre-processing.