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ACL
2015

A Data Sharing and Annotation Service Infrastructure

8 years 7 months ago
A Data Sharing and Annotation Service Infrastructure
This paper reports on and demonstrates META-SHARE/QT21, a prototype implementation of a data sharing and annotation service platform, which was based on the META-SHARE infrastructure. META-SHARE, which has been designed for sharing datasets and tools, is enhanced with a processing layer for annotating textual content with appropriate NLP services that are documented with the appropriate metadata. In META-SHARE/QT21 pre-defined processing workflows are offered to the users; each workflow is a pipeline of atomic NLP services/tools (e.g. sentence splitting, part-of-speech tagging). Currently, workflows for annotating monolingual and bilingual resources of various formats are provided (e.g. XCES, TXT, TMX). From the legal framework point of view, a simple operational model is adopted by which only openly licensed datasets can be processed by openly licensed services.
Stelios Piperidis, Dimitrios Galanis, Juli Bakagia
Added 13 Apr 2016
Updated 13 Apr 2016
Type Journal
Year 2015
Where ACL
Authors Stelios Piperidis, Dimitrios Galanis, Juli Bakagianni, Sokratis Sofianopoulos
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