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
- Editor:
- Hideo Watanabe
- Venue:
- COLING
- SIG:
- Publisher:
- The COLING 2016 Organizing Committee
- Note:
- Pages:
- 59–63
- Language:
- URL:
- https://aclanthology.org/C16-2013
- DOI:
- Cite (ACL):
- Wahed Hemati, Tolga Uslu, and Alexander Mehler. 2016. TextImager: a Distributed UIMA-based System for NLP. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations, pages 59–63, Osaka, Japan. The COLING 2016 Organizing Committee.
- Cite (Informal):
- TextImager: a Distributed UIMA-based System for NLP (Hemati et al., COLING 2016)
- PDF:
- https://preview.aclanthology.org/improve-issue-templates/C16-2013.pdf