Large Scale Semantic Annotation of Radiology Reports
| dc.contributor.author | Mahoui, Malika | |
| dc.contributor.author | Kashyap, Vinay | |
| dc.contributor.author | Jamieson, Patrick | |
| dc.contributor.author | Jones, Josette | |
| dc.contributor.author | Friedlin, Jeffrey | |
| dc.date.accessioned | 2016-11-04T18:25:54Z | |
| dc.date.available | 2016-11-04T18:25:54Z | |
| dc.date.issued | 2010-04-09 | |
| dc.description | poster abstract | en_US |
| dc.description.abstract | The development and testing of automated information extraction (IE) systems depends on semantically annotated free text. This presentation reports on the results of a large scale annotation project of a radiology corpus, the Roentgen corpus, consisting of 594,000 deidentified radiology reports with 36 million words, and 4.3 million sentences supplied by Indiana University. The presentation highlights the (1) sentence-based approach in defining propositions annotating the corpus, (2) as well as the annotation framework that is incrementally built and refined in order to facilitate the process of annotation. | en_US |
| dc.identifier.citation | Malika Mahoui, School of Informatics, Vinay Kashyap, Informatics Student, Patrick Jamieson M.D., Logical Semantics, Inc., Josette Jones R.N., Ph.D., School of Informatics, and Jeffrey Friedlin, D.O, Regenstrief Institute. (2010, April 9). Large Scale Semantic Annotation of Radiology Reports. Poster session presented at IUPUI Research Day 2010, Indianapolis, Indiana. | en_US |
| dc.identifier.uri | https://hdl.handle.net/1805/11392 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Office of the Vice Chancellor for Research | en_US |
| dc.subject | automated information extraction (IE) systems | en_US |
| dc.subject | Semantic Annotation | en_US |
| dc.subject | Radiology Reports | en_US |
| dc.subject | Roentgen corpus | en_US |
| dc.title | Large Scale Semantic Annotation of Radiology Reports | en_US |
| dc.type | Poster | en_US |