Vol-2458
urn:nbn:de:0074-2458-1

Copyright © 2019 for the individual papers by the papers' authors. Copyright © 2019 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 2019
Proceedings of SwissText 2019

Proceedings of the 4th edition of the Swiss Text Analytics Conference

Winterthur, Switzerland, June 18-19, 2019.

Edited by

Mark Cieliebak *
Don Tuggener *
Fernando Benites *

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

Table of Contents

Scientific Full Papers

Empathic Response Generation in Chatbots
Timo Spring, Jacky Casas, Karl Daher, Elena Mugellini, Omar Abou Khaled
Author Verification in Stream of Text with Echo State Network-based Recurrent Neural Models
Nils Schaetti
Your Click Matters: Enhancing Click-based Image Retrieval performance through Collaborative Filtering
Deepanwita Datta, Manajit Chakraborty, Aveek Biswas
The Reader’s Feeling and Text-based Emotions: The Relationship between Subjective Self-reports, Lexical Ratings, and Sentiment
Egon Werlen, Fernando Benites, Christof Imhof, Per Bergamin
Hyperparameter Tuning for Deep Learning in Natural Language Processing (invited paper)
Ahmad Aghaebrahimian, Mark Cieliebak
Bitcoin Value and Sentiment Expressed in Tweets (invited paper)
Bernhard Preisler, Margot Mieskes, Christoph Becker

Shared Task: German Text Summarization Challenge

Fact-aware Abstractive Text Summarization using a Pointer-Generator Network
Valentin Venzin, Jan Deriu, Didier Orel, Mark Cieliebak
Sequential Transfer Learning in NLP for German Text Summarization
Pascal Fecht, Sebastian Blank, Hans-Peter Zorn
Idiap Abstract Text Summarization System for German Text Summarization Task
Shantipriya Parida, Petr Motlicek

Additional Material

Abstracts of the Swiss Track Presentations

2019-09-27: submitted by Mark Cieliebak, metadata incl. bibliographic data published under Creative Commons CC0
2019-09-29: published on CEUR-WS.org |valid HTML5|