TY  - CONF
A1  - Abrami, Giuseppe
A1  - Stoeckel, Manuel
A1  - Mehler, Alexander
T1  - TextAnnotator: a UIMA based tool for the simultaneous and collaborative annotation of texts
T2  - Proceedings of the 12th Language Resources and Evaluation Conference, Marseille, France
N2  - The annotation of texts and other material in the field of digital humanities and Natural Language Processing (NLP) is a common task of research projects. At the same time, the annotation of corpora is certainly the most time- and cost-intensive component in research projects and often requires a high level of expertise according to the research interest. However, for the annotation of texts, a wide range of tools is available, both for automatic and manual annotation. Since the automatic pre-processing methods are not error-free and there is an increasing demand for the generation of training data, also with regard to machine learning, suitable annotation tools are required. This paper defines criteria of flexibility and efficiency of complex annotations for the assessment of existing annotation tools. To extend this list of tools, the paper describes TextAnnotator, a browser-based, multi-annotation system, which has been developed to perform platform-independent multimodal annotations and annotate complex textual structures. The paper illustrates the current state of development of TextAnnotator and demonstrates its ability to evaluate annotation quality (inter-annotator agreement) at runtime. In addition, it will be shown how annotations of different users can be performed simultaneously and collaboratively on the same document from different platforms using UIMA as the basis for annotation.
Y1  - 2020
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/61026
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-610260
UR  - https://aclanthology.org/2020.lrec-1.112/
SP  - 891
EP  - 900
PB  - European Language Resources Association
CY  - [Erscheinungsort nicht ermittelbar]
ER  -