| Vol-2957 urn:nbn:de:0074-2957-1 Copyright © 2021 for the individual papers by the papers' authors. Copyright © 2021 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 2021
Swiss Text Analytics Conference 2021

### Proceedings of the Swiss Text Analytics Conference 2021

### Winterthur, Switzerland, June 14-16, 2021 (held online due to COVID19 pandemic)..

Edited by

### Fernando Benites *
Don Tuggener **
Manuela Hürlimann **
Mark Cieliebak **
Manfred Vogel *

* FHNW University of Applied Sciences Northwestern Switzerland, Institute for Data Science, 5210 Windisch, Switzerland
** ZHAW Zurich University of Applied Sciences, Institute of Applied Information Technology (InIT), 8401 Winterthur, Switzerland

## Table of Contents

- Preface
  Summary: There were 11 papers submitted for peer-review to the Scientific Track. Out of these, 7 papers were accepted for this volume. Submissions to the Applied Track were also reviewed by the program committee. Submissions to the shared tasks were reviewed by the task organizers.

### Scientific Track

- Re-Evaluating GermEval17 Using German Pre-Trained Language Models
  Matthias Aßenmacher, Alessandra Corvonato, Christian Heumann
- Emotions in the parliament: Lexical emotion analysis of parliamentarian speech transcriptions
  Egon Werlen, Christof Imhof, Per Bergamin
- Swiss Parliaments Corpus, an Automatically Aligned Swiss German Speech to Standard German Text Corpus
  Michel Plüss, Lukas Neukom, Christian Scheller, Manfred Vogel
- Predicting COVID-19 Cases using Reddit Posts and other Online Resources (short paper)
  Felix Drinkall, Janet Pierrehumbert
- NFinBERT: A Number-Aware Language Model for Financial Disclosures (short paper)
  Hao-Lun Lin, Jr-Shian Wu, Yu-Shiang Huang, Ming-Feng Tsai, Chuan-Ju Wang
- Neural Argumentation Mining on Essays and Microtexts with Contextualized Word Embeddings (short paper)
  Mohammad Yeghaneh Abkenar, Manfred Stede, Stephan Oepen
- Old is Not Always Gold: Early Identification of Milestone Patents Employing Network Flow Metrics
  Manajit Chakraborty, Fabio Crestani

### Shared Task: Sentence End and Punctuation Prediction in NLG Text

- The Sentence End and Punctuation Prediction in NLG Text (SEPP-NLG) Shared Task 2021
  Don Tuggener, Ahmad Aghaebrahimian
- UZH OnPoint at Swisstext-2021: Sentence End and Punctuation Prediction in NLG Text Through Ensembling of Different Transformers (short paper)
  Andrianos Michail, Silvan Wehrli, Terézia Bucková
- Multilingual Simultaneous Sentence End and Punctuation Prediction (short paper)
  Ricardo Rei, Fernando Batista, Nuno M. Guerreiro, Luisa Coheur
- FullStop: Multilingual Deep Models for Punctuation Prediction
  Oliver Guhr, Anne-Kathrin Schumann, Frank Bahrmann, Hans-Joachim Böhme
- University of Regensburg @ SwissText 2021 SEPP-NLG: Adding Sentence Structure to Unpunctuated Text (short paper)
  Gregor Donabauer, Udo Kruschwitz
- Participation of HULAT-UC3M in SEPP-NLG 2021 shared task (short paper)
  Jose Manuel Masiello-Ruiz, Jose Luis Lopez Cuadrado, Paloma Martinez
- Deep Contextual Punctuator for NLG Text (short paper)
  Vandan Mujadia, Pruthwik Mishra, Dipti Misra Sharma

### Shared Task: Swiss German Speech to Standard German Text

- SwissText 2021 Task 3: Swiss German Speech to Standard German Text (short paper)
  Michel Plüss, Lukas Neukom, Manfred Vogel
- Dialectal Speech Recognition and Translation of Swiss German Speech to Standard German Text: Microsoft’s Submission to SwissText 2021 (short paper)
  Yuriy Arabskyy, Aashish Agarwal, Subhadeep Dey, Oscar Koller
- ZHAW-CAI: Ensemble Method for Swiss German Speech to Standard German Text (short paper)
  Malgorzata Anna Ulasik, Manuela Hürlimann, Bogumila Dubel, Yves Kaufmann, Silas Rudolf, Jan Deriu, Katsiaryna Mlynchyk, Hans-Peter Hutter, Mark Cieliebak

2021-09-13: submitted by Don Tuggener, metadata incl. bibliographic data published under Creative Commons CC0
2021-09-27: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|