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WebAnno: A Flexible, Web-based and Visually Supported System for Distributed Annotations
TLDR
We present WebAnno, a general purpose web-based annotation tool that is immediately usable by any annotator with internet access. Expand
A Web-based Tool for the Integrated Annotation of Semantic and Syntactic Structures
TLDR
We introduce the third major release of WebAnno, a generic web-based annotation tool for distributed teams. Expand
The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation
TLDR
We introduce INCEpTION, a new annotation platform for tasks including interactive and semantic annotation (e.g., concept linking, fact linking, knowledge base population, semantic frame annotation). Expand
A New Hybrid Dependency Parser for German
TLDR
We describe the development of a new German parser that uses a hybrid approach, combining a hand-written rule-based grammar with a probabilistic disambiguation system that can compete with state-of-the-art systems both in terms of efficiency and parsing quality. Expand
A broad-coverage collection of portable NLP components for building shareable analysis pipelines
TLDR
We present DKPro Core, a broad-coverage component collection integrating a wide range of third-party NLP tools and making them interoperable. Expand
Automatic Annotation Suggestions and Custom Annotation Layers in WebAnno
TLDR
In this paper, we present a flexible approach to the efficient and exhaustive manual annotation of text documents. Expand
OpenMinTeD: A Platform Facilitating Text Mining of Scholarly Content
TLDR
The OpenMinTeD platform aims to bring full text Open Access scholarly content from a wide range of providers together with Text and Data Mining (TDM) tools from various Natural Language Processing frameworks and TDM developers in an integrated environment. Expand
Collaborative Web-Based Tools for Multi-layer Text Annotation
TLDR
In this chapter, we outline requirements for web-based annotation tools in detail and review a variety of tools in respect to these requirements. Expand
Text mining resources for the life sciences
TLDR
We give an overview of the text mining resources that exist in the life sciences to help researchers, especially those employed in biocuration, to engage with text mining in their own work. Expand
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