Adapting a Web Application for Natural Language Processing to Odd Text Representation Formats

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Users of Natural Language Processing (NLP) are best helped if that technology has a low threshold. Therefore, there is a niche for NLP infrastructures that can adapt to the notations used in scholarly projects, instead of requiring that projects adapt to the notation prescribed by a particular NLP infrastructure. The Text Tonsorium is a web application that fits in that niche, because it is not married to any notation and therefore can integrate tools that are tailored to the needs and notations of projects. There are no costs involved related to manually modelling project specific tools into workflow templates, since the Text Tonsorium automatically computes those templates.
Original languageEnglish
Title of host publicationProceedings of the Eleventh International Conference on Adaptive and Self-Adaptive Systems and Applications
EditorsNadia Abchiche-Mimouni, Sebastian Herold, Mirco Schindler, Christoph Knieke, Piotr Malak, Tomasz Walkowiak
Number of pages6
Publication date5 May 2019
Pages97-102
ISBN (Electronic)978-1-61208-706-1
Publication statusPublished - 5 May 2019
EventThe Eleventh International Conference on Adaptive and Self-Adaptive Systems and Applications - Venedig, Italy
Duration: 5 May 20199 May 2019
http://www.iaria.org/conferences2019/ProgramADAPTIVE19.html

Conference

ConferenceThe Eleventh International Conference on Adaptive and Self-Adaptive Systems and Applications
LandItaly
ByVenedig
Periode05/05/201909/05/2019
Internetadresse

    Research areas

  • Faculty of Humanities - Natural Language Processing, NLP workflows, digital edition, medieval diplomas

ID: 216161719