TextAnnotator: A flexible framework for semantic annotations

TitreTextAnnotator: A flexible framework for semantic annotations
Publication TypeArticle dans des actes
Année de la conférence2019
AuthorsAbrami, Giuseppe
EditorRieb, Elias, and Philipp Helfrich
Series EditorMehler, Alexander, and Andy Lücking
Nom de la conférenceProceedings of the Fifteenth Joint ACL-ISO Workshop on Interoperable Semantic Annotation
Series TitleISA-15
Pagination1-12
Date de publicationMay
Abstract

Modern annotation tools should meet at least the following general requirements: they can handle diverse data and annotation levels within one tool, and they support the annotation process with
automatic (pre-)processing outcomes as much as possible. We developed a framework that meets these general requirements and that enables versatile and browser-based annotations of texts, namely
TEXTANNOTATOR. It combines NLP methods of pre-processing with methods of flexible post-processing. In fact, machine learning (ML) requires a lot of training and test data, but is usually far from achieving perfect results. Producing high-level annotations for ML and post-correcting its results are therefore necessary. This is the purpose of TEXTANNOTATOR, which is entirely implemented in ExtJS and provides a range of interactive visualizations of annotations. In addition, it allows for an flexible integration of knowledge resources. The paper describes TEXTANNOTATOR's architecture together with three use cases: annotating temporal structures, argument structures and named entity linking.

Refereed DesignationRefereed