| Vol-2624 urn:nbn:de:0074-2624-4 Copyright © 2020 for the individual papers by the papers' authors. Copyright © 2020 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# SWISSTEXT & KONVENS 2020
Swiss Text Analytics Conference & Conference on Natural Language Processing 2020

### Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS)

### Zurich, Switzerland, June 23-25, 2020 (held online due to COVID19 pandemic).

Edited by

### Sarah Ebling *
Don Tuggener **
Manuela Hürlimann **
Mark Cieliebak **
Martin Volk *

* University of Zurich, Department of Computational Linguistics, 8050 Zurich, Switzerland
** ZHAW Zurich University of Applied Sciences, Institute of Applied Information Technology (InIT), 8401 Winterthur, Switzerland

## Table of Contents

- Preface

### Scientific Track

- Investigating the Influence of Selected Linguistic Features on Authorship Attribution using German News Articles
  Manuel Sage, Pietro Cruciata, Raed Abdo, Jackie Chi Kit Cheung, Yaoyao Fiona Zhao
- On the Comparability of Pre-trained Language Models
  Matthias Aßenmacher, Christian Heumann
- Supervised Pun Detection and Location with Feature Engineering and Logistic Regression
  Jingyuan Feng, Özge Sevgili, Steffen Remus, Eugen Ruppert, Chris Biemann
- Compiling a Large Swiss German Dialect Corpus
  Manuela Weibel, Muriel Peter
- To BERT or not to BERT – Comparing Contextual Embeddings in a Deep Learning Architecture for the Automatic Recognition of four Types of Speech, Thought and Writing Representation
  Annelen Brunner, Ngoc Duyen Tanja Tu, Lukas Weimer, Fotis Jannidis
- Cultural Differences in Bias? Origin and Gender Bias in Pre-Trained German and French Word Embeddings
  Mascha Kurpicz-Briki
- Evaluating German Transformer Language Models with Syntactic Agreement Tests
  Karolina Zaczynska, Nils Feldhus, Robert Schwarzenberg, Aleksandra Gabryszak, Sebastian Möller
- Predicting the Concreteness of German Words
  Jean Charbonnier, Christian Wartena
- X -stance: A Multilingual Multi-Target Dataset for Stance Detection
  Jannis Vamvas, Rico Sennrich
- Harmonization Sometimes Harms
  Manfred Klenner, Anne Göhring, Michael Amsler
- Ranking Georeferences for Efficient Crowdsourcing of Toponym Annotations in a Historical Corpus of Alpine Texts
  Janis Goldzycher, Isabel Meraner, Martin Volk, Simon Clematide
- HarryMotions – Classifying Relationships in Harry Potter based on Emotion Analysis
  Albin Zehe, Julia Arns, Lena Hettinger, Andreas Hotho
- Cross-lingual Transfer-learning Approach to Negation Scope Resolution
  Anastassia Shaitarova, Lenz Furrer, Fabio Rinaldi
- Psychological Distance in German and English Brand Language of Eight International Brands
  Simone Griesser

### GermEval 2020 Task 2: Swiss German Language Identification

- Overview of the GermEval 2020 Shared Task on Swiss German Language Identification
  Pius von Däniken, Manuela Hürlimann, Mark Cieliebak
- Spoken Dialect Identification in Twitter using a Multi-filter Architecture
  Mohammadreza Banaei, Rémi Lebret, Karl Aberer
- Detecting Noisy Swiss German Web Text Using RNN- and Rule-Based Techniques
  Janis Goldzycher, Jonathan Schaber
- Idiap Submission to Swiss-German Language Detection Shared Task
  Shantipriya Parida, Esaú Villatoro-Tello, Sajit Kumar, Petr Motlicek, Qingran Zhan

### GermEval 2020 Task 3: 2nd German Text Summarization Challenge

- 2nd German Text Summarization Challenge
  Dominik Frefel, Manfred Vogel, Fabian Märki
- UPB at GermEval-2020 Task 3: Assessing Summaries for German Texts using BERTScore and Sentence-BERT
  Andrei Paraschiv, Dumitru-Clementin Cercel
- Hybrid Ensemble Predictor as Quality Metric for German Text Summarization: Fraunhofer IAIS at GermEval 2020 Task 3
  David Biesner, Eduardo Brito, Lars Patrick Hillebrand, Rafet Sifa

### GermEval 2020 Task 4: Low-Resource Speech-to-Text

- GermEval 2020 Task 4: Low-Resource Speech-to-Text
  Michel Plüss, Lukas Neukom, Manfred Vogel
- LTL-UDE at Low-Resource Speech-to-Text Shared Task: Investigating Mozilla DeepSpeech in a low-resource setting
  Aashish Agarwal, Torsten Zesch
- ZHAW-InIT at GermEval 2020 Task 4: Low-Resource Speech-to-Text
  Matthias Büchi, Malgorzata Anna Ulasik, Manuela Hürlimann, Fernando Benites, Pius von Däniken, Mark Cieliebak
- UZH TILT: A Kaldi recipe for Swiss German Speech to Standard German Text
  Tannon Kew, Iuliia Nigmatulina, Lorenz Nagele, Tanja Samardžić

### Additional Material

- Abstracts of the Applied Track

2020-06-11: submitted by Don Tuggener, metadata incl. bibliographic data published under Creative Commons CC0
2020-06-18: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|