Summary of the paper
| Title | Information Extraction from German Patient Records via Hybrid Parsing and Relation Extraction Strategies |
|---|---|
| Authors | Hans-Ulrich Krieger, Christian Spurk, Hans Uszkoreit, Feiyu Xu, Yi Zhang, Frank Müller and Thomas Tolxdorff |
| Abstract | In this paper, we report on first attempts and findings to analyzing German patient records, using a hybrid parsing architecture and a combination of two relation extraction strategies. On a practical level, we are interested in the extraction of concepts and relations among those concepts, a necessary cornerstone for building medical information systems. The parsing pipeline consists of a morphological analyzer, a robust chunk parser adapted to Latin phrases used in medical diagnosis, a repair rule stage, and a probabilistic context-free parser that respects the output from the chunker. The relation extraction stage is a combination of two systems: SProUT, a shallow processor which uses hand-written rules to discover relation instances from local text units and DARE which extracts relation instances from complete sentences, using rules that are learned in a bootstrapping process, starting with semantic seeds. Two small experiments have been carried out for the parsing pipeline and the relation extraction stage. |
| Topics | Parsing, Text Mining |
Full paper  |
Information Extraction from German Patient Records via Hybrid Parsing and Relation Extraction Strategies |
| Bibtex | @InProceedings{KRIEGER14.190, author = {Hans-Ulrich Krieger and Christian Spurk and Hans Uszkoreit and Feiyu Xu and Yi Zhang and Frank Müller and Thomas Tolxdorff}, title = {Information Extraction from German Patient Records via Hybrid Parsing and Relation Extraction Strategies}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |