Extraction and Normalization of Vague Time Expressions in German

no code implementations • KONVENS (WS) 2021 • Ulrike May, Karolina Zaczynska, Julián Moreno-Schneider, Georg Rehm

Towards Discourse Parsing-inspired Semantic Storytelling

no code implementations • 25 Apr 2020 • Georg Rehm, Karolina Zaczynska, Julián Moreno-Schneider, Malte Ostendorff, Peter Bourgonje, Maria Berger, Jens Rauenbusch, André Schmidt, Mikka Wild

Previous work of ours on Semantic Storytelling uses text analytics procedures including Named Entity Recognition and Event Detection.

coreference-resolution Discourse Parsing +5

Towards an Interoperable Ecosystem of AI and LT Platforms: A Roadmap for the Implementation of Different Levels of Interoperability

1 code implementation • LREC 2020 • Georg Rehm, Dimitrios Galanis, Penny Labropoulou, Stelios Piperidis, Martin Welß, Ricardo Usbeck, Joachim köhler, Miltos Deligiannis, Katerina Gkirtzou, Johannes Fischer, Christian Chiarcos, Nils Feldhus, Julián Moreno-Schneider, Florian Kintzel, Elena Montiel, Víctor Rodríguez Doncel, John P. McCrae, David Laqua, Irina Patricia Theile, Christian Dittmar, Kalina Bontcheva, Ian Roberts, Andrejs Vasiljevs, Andis Lagzdiņš

With regard to the wider area of AI/LT platform interoperability, we concentrate on two core aspects: (1) cross-platform search and discovery of resources and services; (2) composition of cross-platform service workflows.

A Workflow Manager for Complex NLP and Content Curation Pipelines

no code implementations • 16 Apr 2020 • Julián Moreno-Schneider, Peter Bourgonje, Florian Kintzel, Georg Rehm

We present a workflow manager for the flexible creation and customisation of NLP processing pipelines.

A Dataset of German Legal Documents for Named Entity Recognition

1 code implementation • LREC 2020 • Elena Leitner, Georg Rehm, Julián Moreno-Schneider

We describe a dataset developed for Named Entity Recognition in German federal court decisions.

named-entity-recognition Named Entity Recognition +1

Abstractive Text Summarization based on Language Model Conditioning and Locality Modeling

1 code implementation • LREC 2020 • Dmitrii Aksenov, Julián Moreno-Schneider, Peter Bourgonje, Robert Schwarzenberg, Leonhard Hennig, Georg Rehm

The results of our models are compared to a baseline and the state-of-the-art models on the CNN/Daily Mail dataset.

Abstractive Text Summarization Language Modelling

Orchestrating NLP Services for the Legal Domain

no code implementations • LREC 2020 • Julián Moreno-Schneider, Georg Rehm, Elena Montiel-Ponsoda, Víctor Rodriguez-Doncel, Artem Revenko, Sotirios Karampatakis, Maria Khvalchik, Christian Sageder, Jorge Gracia, Filippo Maganza

Legal technology is currently receiving a lot of attention from various angles.