no code implementations • In2Writing (ACL) 2022 • Adela Schneider, Andreas Madsack, Johanna Heininger, Ching-Yi Chen, Robert Weißgraeber
Today, data-to-text systems are used as commercial solutions for automated text productionof large quantities of text.
no code implementations • WS 2019 • Andreas Madsack, Robert Wei{\ss}graeber
This paper describes the AX Semantics{'} submission to the SIGMORPHON 2019 shared task on morphological reinflection.
no code implementations • WS 2018 • Andreas Madsack, Johanna Heininger, Nyamsuren Davaasambuu, Vitaliia Voronik, Michael K{\"a}ufl, Robert Wei{\ss}graeber
We present a readily available API that solves the morphology component for surface realizers in 10 languages (e. g., English, German and Finnish) for any topic and is available as REST API.
no code implementations • WS 2018 • Andreas Madsack, Johanna Heininger, Nyamsuren Davaasambuu, Vitaliia Voronik, Michael K{\"a}ufl, Robert Wei{\ss}graeber
In this paper we describe our system and experimental results on the development set of the Surface Realisation Shared Task.
no code implementations • WS 2017 • Robert Wei{\ss}graeber, Andreas Madsack
A fully fledged practical working application for a rule-based NLG system is presented that is able to create non-trivial, human sounding narrative from structured data, in any language and for any topic.