TextImager: a Distributed UIMA-based System for NLP

Wahed Hemati, Tolga Uslu, Alexander Mehler


Abstract
More and more disciplines require NLP tools for performing automatic text analyses on various levels of linguistic resolution. However, the usage of established NLP frameworks is often hampered for several reasons: in most cases, they require basic to sophisticated programming skills, interfere with interoperability due to using non-standard I/O-formats and often lack tools for visualizing computational results. This makes it difficult especially for humanities scholars to use such frameworks. In order to cope with these challenges, we present TextImager, a UIMA-based framework that offers a range of NLP and visualization tools by means of a user-friendly GUI. Using TextImager requires no programming skills.
Anthology ID:
C16-2013
Volume:
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations
Month:
December
Year:
2016
Address:
Osaka, Japan
Venue:
COLING
SIG:
Publisher:
The COLING 2016 Organizing Committee
Note:
Pages:
59–63
Language:
URL:
https://www.aclweb.org/anthology/C16-2013
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/C16-2013.pdf