Technical Reports - Query ResultsYour query term was 'number = 2008-16'
1 report found
- OFAI-TR-2008-16 ( 156kB PDF file)
Identifying Segment Topics in Medical Dictations
- Johannes Matiasek, Jeremy Jancsary, Alexandra Klein, Harald Trost
- In this paper, we describe the use of lexical and semantic features for topic classification in dictated medical reports. First, we employ SVM classification to assign whole reports to coarse work-type categories. Afterwards, text segments and their topic are identified in the output of automatic speech recognition. This is done by assigning work-type-specific topic labels to each word based on features extracted from a sliding context window, again using SVM classification utilizing semantic features. Classifier stacking is then used for a posteriori error correction, yielding a further improvement in classification accuracy.