Information extraction from German patient records via hybrid parsing and relation extraction strategies

Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014

Volumn , Issue , 2014, Pages 2043-2048

  Krieger, Hans Ulrich ^a   Spurk, Christian ^a   Uszkoreit, Hans ^a   Xu, Feiyu ^a   Zhang, Yi ^a   Müller, Frank ^b   Tolxdorff, Thomas ^b  

^a GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE DFKI   (Germany)

^b CHARITÉ UNIVERSITÄTSMEDIZIN BERLIN   (Germany)

Author keywords

Hybrid parsing pipeline; Hybrid relation extraction strategy; Information extraction from patient records

Indexed keywords

COMPUTATIONAL LINGUISTICS; DIAGNOSIS; INFORMATION ANALYSIS; INFORMATION RETRIEVAL; PIPELINES; SEMANTICS; SYNTACTICS;

CONTEXT-FREE; MORPHOLOGICAL ANALYZER; PATIENT RECORD; RELATION EXTRACTION;

MEDICAL INFORMATION SYSTEMS;

EID: 85029588928     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Abney, Steven. (1996). Partial parsing via finite-state cascades. Natural Language Engineering, 2(4):337-344.
2. Becker, Markus, Drożdżyński, Witold, Krieger, HansUlrich, Piskorski, Jakub, Schäfer, Ulrich, and Xu, Feiyu. (2002). SProUT-Shallow Processing with Unification and Typed Feature Structures. In Proceedings of the International Conference on Natural Language Processing, ICON-2002.
3. Drożdżyński, Witold, Krieger, Hans-Ulrich, Piskorski, Jakub, Schäfer, Ulrich, and Xu, Feiyu. (2004). Shallow Processing with Unification and Typed Feature Structures-Foundations and Applications. KI, 04(1):17-23.
4. Geibel, Peter, Trautwein, Martin, Erdur, Hebun, Zimmermann, Lothar, Krüger, Stefan, Schepers, Josef, Jegzentis, Kati, Müller, Frank, Nolte, Christian Hans, Becker, Anne, Frick, Markus, Setz, Jochen, Scheitz, Jan Friedrich, Tütüncü, Serdar, Usnich, Tatiana, Holzgreve, Alfred, Schaaf, Thorsten, and Tolxdorff, Thomas. (2013). Ontology-based semantic annotation of documents in the context of patient identification for clinical trials. In OTM Conferences, pages 719-736.
5. Goodwin, Travis and Harabagiu, Sanda M. (2013). The impact of belief values on the identification of patient cohorts. In CLEF, pages 155-166.
6. Kasper, Walter, Kiefer, Bernd, Krieger, Hans-Ulrich, Rupp, C.J. and Worm, Karsten L. (1999). Charting the depths of robust speech parsing. In Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics, pages 405-412.
7. Klein, Dan and Manning, Christopher D. (2003). Accurate unlexicalized parsing. In Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics, pages 423-430, Sapporo, Japan. Association for Computational Linguistics.
8. Krieger, Hans-Ulrich, Drożdżyński, Witold, Piskorski, Jakub, Schäfer, Ulrich, and Xu, Feiyu. (2004). A Bag of Useful Techniques for Unification-Based Finite-State Transducers. In Proceedings of KONVENS 2004, pages 105-112.
9. Müller, Frank Henrik. (2007). A Finite-State Approach to Shallow Parsing and Grammatical Functions Annotation of German. Phd thesis, Tübingen University.
10. Roberts, Kirk, Rink, Bryan, and Harabagiu, Sanda M. (2013). A flexible framework for recognizing events, temporal expressions, and temporal relations in clinical text. JAMIA, 20(5):867-875.
11. Xu, Feiyu, Uszkoreit, Hans, and Li, Hong. (2007). A seed-driven bottom-up machine learning framework for extracting relations of various complexity. In Proceedings of ACL 2007, 45th Annual Meeting of the Association for Computational Linguistics, Prague, Czech Republic, 6.
12. Xu, Feiyu. (2007). Bootstrapping Relation Extraction from Semantic Seeds. Phd thesis, Saarland University.