1 code implementation • LREC 2022 • Zdenka Uresova, Karolina Zaczynska, Peter Bourgonje, Eva Fučíková, Georg Rehm, Jan Hajic
We also show the next steps to adapt the annotation process, data structures and formats and tools necessary to make the addition of a new language in the future more smooth and efficient, and possibly to allow for various teams to work on SynSemClass extensions to many languages concurrently.
1 code implementation • ACL (WOAH) 2021 • Dmitrii Aksenov, Peter Bourgonje, Karolina Zaczynska, Malte Ostendorff, Julian Moreno-Schneider, Georg Rehm
We present a data set consisting of German news articles labeled for political bias on a five-point scale in a semi-supervised way.
no code implementations • NAACL (BEA) 2022 • Rricha Jalota, Peter Bourgonje, Jan Van Sas, Huiyan Huang
The role of an author’s L1 in SLA can be challenging for automated CEFR classification, in that texts from different L1 groups may be too heterogeneous to combine them as training data.
no code implementations • COLING 2020 • Peter Bourgonje, Manfred Stede
In this paper we focus on connective identification and sense classification for explicit discourse relations in German, as two individual sub-tasks of the overarching Shallow Discourse Parsing task.
no code implementations • LREC 2020 • Peter Bourgonje, Manfred Stede
We present the Potsdam Commentary Corpus 2. 2, a German corpus of news editorials annotated on several different levels.
no code implementations • LREC 2020 • Henny Sluyter-G{\"a}thje, Peter Bourgonje, Manfred Stede
Shallow Discourse Parsing (SDP), the identification of coherence relations between text spans, relies on large amounts of training data, which so far exists only for English - any other language is in this respect an under-resourced one.
no code implementations • LREC 2020 • Julian Moreno-Schneider, Peter Bourgonje, Florian Kintzel, Georg Rehm
We present a workflow manager for the flexible creation and customisation of NLP processing pipelines.
no code implementations • 25 Apr 2020 • Georg Rehm, Peter Bourgonje, Stefanie Hegele, Florian Kintzel, Julián Moreno Schneider, Malte Ostendorff, Karolina Zaczynska, Armin Berger, Stefan Grill, Sören Räuchle, Jens Rauenbusch, Lisa Rutenburg, André Schmidt, Mikka Wild, Henry Hoffmann, Julian Fink, Sarah Schulz, Jurica Seva, Joachim Quantz, Joachim Böttger, Josefine Matthey, Rolf Fricke, Jan Thomsen, Adrian Paschke, Jamal Al Qundus, Thomas Hoppe, Naouel Karam, Frauke Weichhardt, Christian Fillies, Clemens Neudecker, Mike Gerber, Kai Labusch, Vahid Rezanezhad, Robin Schaefer, David Zellhöfer, Daniel Siewert, Patrick Bunk, Lydia Pintscher, Elena Aleynikova, Franziska Heine
In all domains and sectors, the demand for intelligent systems to support the processing and generation of digital content is rapidly increasing.
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.
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.
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.
1 code implementation • KONVENS / GermEval 2019 2019 • Malte Ostendorff, Peter Bourgonje, Maria Berger, Julian Moreno-Schneider, Georg Rehm, Bela Gipp
In this paper, we focus on the classification of books using short descriptive texts (cover blurbs) and additional metadata.
no code implementations • WS 2019 • Peter Bourgonje, Olha Zolotarenko
In this exploratory study, we attempt to automatically induce PDTB-style relations from RST trees.
no code implementations • WS 2019 • Peter Bourgonje, Robin Sch{\"a}fer
We describe a series of experiments applied to data sets from different languages and genres annotated for coherence relations according to different theoretical frameworks.
no code implementations • WS 2018 • Peter Bourgonje, Manfred Stede
We are working on an end-to-end Shallow Discourse Parsing system for German and in this paper focus on the first subtask: the identification of explicit connectives.
no code implementations • WS 2018 • Debopam Das, Tatjana Scheffler, Peter Bourgonje, Manfred Stede
We present a new lexicon of English discourse connectives called DiMLex-Eng, built by merging information from two annotated corpora and an additional list of relation signals from the literature.
no code implementations • WS 2017 • Julian Moreno-Schneider, Ankit Srivastava, Peter Bourgonje, David Wabnitz, Georg Rehm
We present a prototypical content curation dashboard, to be used in the newsroom, and several of its underlying semantic content analysis components (such as named entity recognition, entity linking, summarisation and temporal expression analysis).
no code implementations • WS 2017 • Peter Bourgonje, Julian Moreno Schneider, Georg Rehm
We present a system for the detection of the stance of headlines with regard to their corresponding article bodies.
no code implementations • WS 2017 • Georg Rehm, Julian Moreno Schneider, Peter Bourgonje, Ankit Srivastava, Jan Nehring, Armin Berger, Luca K{\"o}nig, S{\"o}ren R{\"a}uchle, Jens Gerth
We present an approach at identifying a specific class of events, movement action events (MAEs), in a data set that consists of ca.