UIMA-Based JCoRe 2.0 Goes GitHub and Maven Central ― State-of-the-Art Software Resource Engineering and Distribution of NLP Pipelines

Udo Hahn, Franz Matthies, Erik Faessler, Johannes Hellrich


Abstract
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. In an attempt to put the new release of JCoRe on firm software engineering ground, we uploaded it to GitHub, a social coding platform, with an underlying source code versioning system and various means to support collaboration for software development and code modification management. In order to automate the builds of complex NLP pipelines and properly represent and track dependencies of the underlying Java code, we incorporated Maven as part of our software configuration management efforts. In the meantime, we have deployed our artifacts on Maven Central, as well. JCoRe 2.0 offers a broad range of text analytics functionality (mostly) for English-language scientific abstracts and full-text articles, especially from the life sciences domain.
Anthology ID:
L16-1397
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
2502–2509
Language:
URL:
https://aclanthology.org/L16-1397
DOI:
Bibkey:
Cite (ACL):
Udo Hahn, Franz Matthies, Erik Faessler, and Johannes Hellrich. 2016. UIMA-Based JCoRe 2.0 Goes GitHub and Maven Central ― State-of-the-Art Software Resource Engineering and Distribution of NLP Pipelines. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 2502–2509, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
UIMA-Based JCoRe 2.0 Goes GitHub and Maven Central ― State-of-the-Art Software Resource Engineering and Distribution of NLP Pipelines (Hahn et al., LREC 2016)
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https://preview.aclanthology.org/update-css-js/L16-1397.pdf