no code implementations • 4 Jun 2020 • Erik Faessler, Michel Oleynik, Udo Hahn
From 2017 to 2019 the Text REtrieval Conference (TREC) held a challenge task on precision medicine using documents from medical publications (PubMed) and clinical trials.
no code implementations • LREC 2020 • Erik Faessler, Luise Modersohn, Christina Lohr, Udo Hahn
Genes and proteins constitute the fundamental entities of molecular genetics.
1 code implementation • Notebook papers of the TREC conference 2018 • Michel Oleynik, Erik Faessler, Ariane Morassi Sasso, Arpita Kappattanavar, Benjamin Bergner, Harry Freitas da Cruz, Jan-Philipp Sachs, Suparno Datta, Erwin Bottinger
The TREC-PM challenge aims for advances in the field of information retrieval applied to precision medicine.
Ranked #1 on
Information Retrieval
on TREC-PM
no code implementations • LREC 2016 • Udo Hahn, Franz Matthies, Erik Faessler, Johannes Hellrich
We introduce JCoRe 2. 0, the relaunch of a UIMA-based open software repository for full-scale natural language processing originating from the Jena University Language {\&} Information Engineering (JULIE) Lab.
no code implementations • LREC 2014 • Erik Faessler, Johannes Hellrich, Udo Hahn
Confidential corpora from the medical, enterprise, security or intelligence domains often contain sensitive raw data which lead to severe restrictions as far as the public accessibility and distribution of such language resources are concerned.
no code implementations • LREC 2012 • Udo Hahn, Elena Beisswanger, Ekaterina Buyko, Erik Faessler, Jenny Traum{\"u}ller, Susann Schr{\"o}der, Kerstin Hornbostel
We here discuss a methodology for dealing with the annotation of semantically hard to delineate, i. e., sloppy, named entity types.