TY  - THES
A1  - Leonhardt, Alexander
T1  - Reproducible annotations
N2  - This bachelor thesis presents a software solution which implements reproducible annotations in the context of the UIMA framework. This is achieved by creating an automated containerization of arbitrary analysis engines and annotating every analysis engine configuration in the processed CAS document. Any CAS document created by this solution is self sufficient and able to reproduce the exact environment under which it was created.
A review of the state-of-the art software in the field of UIMA reveals that there are many implementations trying to increase reproducibility for a given application relying on UIMA, but no publication trying to increase the reproducibility of UIMA itself. This thesis improves upon that technological gap and provides a throughout analysis at the end which shows a negligible overhead in memory consumption, but a significant performance regression depending on the complexity of the analysis engine which was examined.
KW  - UIMA
KW  - Docker
KW  - NLP
Y1  - 2022
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/67688
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-676886
CY  - Frankfurt am Main
ER  -