Proceedings of the 15th Conference on Natural Language Processing (KONVENS 2019)

KONVENS 2019 Papers

Long Papers

BERT for Named Entity Recognition in Contemporary and Historic German
Kai Labusch, Clemens Neudecker and David Zellhöfer

A Supervised Learning Approach for the Extraction of Sources and Targets from German Text
Michael Wiegand, Margarita Chikobava and Josef Ruppenhofer

A Descriptive Analysis of a German Corpus Annotated with Opinion Sources and Targets
Michael Wiegand, Leonie Lapp and Josef Ruppenhofer

Automated Assessment of Language Proficiency on German Data
Edit Szügyi, Sören Etler, Andrew Beaton and Manfred Stede

A Probabilistic Morphology Model for German Lemmatization
Christian Wartena

To Act Or Not To Act - Annotating and Classifying Email Regarding Necessary Action
Veronika Hintzen and Alexander Fraser

AkkuBohrHammer vs. AkkuBohrhammer: Experiments towards the Evaluation of Compound Splitting Tools for General Language and Specific Domains
Anna Hätty, Ulrich Heid, Anna Moskvina, Julia Bettinger, Michael Dorna and Sabine Schulte im Walde

Neural classification with attention assessment of the implicit-association test OMT and prediction of subsequent academic success
Dirk Johannßen and Chris Biemann

Towards Multimodal Emotion Recognition in German Speech Events in Cars using Transfer Learning
Deniz Cevher, Sebastian Zepf and Roman Klinger

Visualising and evaluating the effects of combining active learning with word embedding features
Maria Skeppstedt, Rafal Rzepka, Kenji Araki and Andreas Kerren

Creating Information-maximizing Natural Language Messages Through Image Captioning-Retrieval
Fabian Karl, Mikko Lauri and Chris Biemann

German End-to-end Speech Recognition based on DeepSpeech
Aashish Agarwal and Torsten Zesch

Label Propagation of Polarity Lexica on Word Vectors
Harald Koppen and Ritavan

Detecting the boundaries of sentence-like units in spoken German
Josef Ruppenhofer and Ines Rehbein

Dependency Trees for Greenlandic
Eckhard Bick

Metaphor detection for German Poetry
Ines Reinig and Ines Rehbein

Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings
Gregor Wiedemann, Steffen Remus, Avi Chawla and Chris Biemann

Determining Response-generating Contexts on Microblogging Platforms
Jennifer Fest, Arndt Heilmann, Oliver Hohlfeld, Stella Neumann, Jens Helge Reelfs, Marco Schmitt and Alina Vogelgesang

Extraction and Classification of Speech, Thought, and Writing in German Narrative Texts
Luise Schricker, Manfred Stede and Peer Trilcke

Argumentative Relation Classification as Plausibility Ranking
Juri Opitz

Predicting Semantic Labels of Text Regions in Heterogeneous Document Images
Somtochukwu Enendu, Johannes Scholtes, Jeroen Smeets, Djoerd Hiemstra and Mariet Theune

Evaluating Off-the-Shelf NLP Tools for German
Katrin Ortmann, Adam Roussel and Stefanie Dipper

Short Papers

Towards a gold standard corpus for detecting valencies of Zulu verbs
Gertrud Faaß and Sonja Bosch

“Konservenglück in Tiefkühl-Town” – Das Songkorpus als empirische Ressource interdisziplinärer Erforschung deutschsprachiger Poptexte
Roman Schneider

Combining embedding methods for a word intrusion task
Finn Årup Nielsen and Lars Kai Hansen

Deep learning for Free Indirect Representation
Annelen Brunner, Ngoc Duyen Tanja Tu, Lukas Weimer and Fotis Jannidis

Representing document-level semantics of biomedical literature using pre-trained embedding models: Novel assessments
Jon Stevens, Brandon Punturo, Derek Chen, Mike Kim and Jacob Zimmer

Deep-EOS: General-Purpose Neural Networks for Sentence Boundary Detection
Stefan Schweter and Sajawel Ahmed

How Does Visual Complexity Influence Predictive Language Processing in a Situated Context?
Özge Alacam, Wolfgang Menzel and Tobias Staron

Teacher-Student Learning Paradigm for Tri-training: An Efficient Method for Unlabeled Data Exploitation
Yash Bhalgat, Zhe Liu, Pritam Gundecha, Jalal Mahmud and Amita Misra

Kaleidoscope Abstracts

Generic Web Content Extraction with Open-Source Software
Adrien Barbaresi

Ein Tool zur Visualisierung des Gebrauchs von Schreibvarianten
Peter M. Fischer and Christian Lang

Identification of Reading Absorption in User-Generated Book Reviews
Piroska Lendvai, Simone Rebora and Moniek Kuijpers

Sketches of a graphical user interface for word alignment annotation
Maria Skeppstedt, Magnus Ahltorp, Gunnar Eriksson and Rickard Domeij

Predicting default and non-default aspectual coding: Impact and density of information features
Michael Richter and Tariq Yousef

A New German Reddit Corpus
Andreas Blombach, Natalie Dykes, Stefan Evert, Philipp Heinrich, Besim Kabashi and Thomas Proisl

GermEval Papers

Task 1

GermEval 2019 Task 1: Hierarchical Classification of Blurbs
Steffen Remus, Rami Aly and Chris Biemann

Multi-Label Classification of Blurbs with SVM Classifier Chains
Franz Bellmann, Lea Bunzel, Christoph Demus, Lisa Fellendorf, Olivia Gräupner, Qiuyi Hu, Tamara Lange, Alica Stuhr, Jian Xi, Dirk Labudde and Michael Spranger

Multi-Label Multi-Class Hierarchical Classification using Convolutional Seq2Seq
Venkatesh Umaashankar and Girish Shanmugam S

Enriching BERT with Knowledge Graph Embeddings for Document Classification
Malte Ostendorff, Peter Bourgonje, Maria Berger, Julian Moreno-Schneider, Georg Rehm and Bela Gipp

COMTRAVO-DS team at GermEval 2019 Task 1 on Hierarchical Classification of Blurbs
David S. Batista and Matti Lyra

Convolutional Neural Networks for Classification of German Blurbs
Erdan Genc, Louay Abdelgawad, Viorel Morari and Peter Kluegl

TwistBytes - Hierarchical Classification at GermEval 2019: walking the fine line (of recall and precision)
Fernando Benites

The HUIU Contribution to the GermEval 2019 Shared Task 1
Melanie Andresen, Melitta Gillmann, Jowita Grala, Sarah Jablotschkin, Lea Roseler, Eleonore Schmitt, Lena Schnee, Katharina Straka, Michael Vauth, Sandra Kübler, Heike Zinsmeister

Label Frequency Transformation for Multi-Label Multi-Class Text Classification
Raghavan A K, Venkatesh Umaashankar and Gautham Krishna Gudur

Logistic Regression and Naive Bayes for Hierarchical Multi-label Classification at GermEval 2019 - Task 1
Kristian Rother and Achim Rettberg

Task 2

Overview of GermEval Task 2, 2019 Shared Task on the Identification of Offensive Language
Julia Maria Struß, Melanie Siegel, Josep Ruppenhofer, Michael Wiegand and Manfred Klenner

InriaFBK Drawing Attention to Offensive Language at Germeval2019
Michele Corazza, Stefano Menini, Elena Cabrio, Sara Tonelli and Serena Villata

German Hatespeech classification with Naive Bayes and Logistic Regression - hshl at GermEval 2019 - Task 2
Kristian Rother and Achim Rettberg

FraunhoferSIT at GermEval 2019: Can Machines Distinguish Between Offensive Language and Hate Speech? Towards a Fine-Grained Classification
Inna Vogel and Roey Regev

FoSIL - Offensive language classification of German tweets combining SVMs and deep learning techniques
Florian Schmid, Justine Thielemann, Anna Mantwill, Jian Xi, Dirk Labudde and Michael Spranger

2019 GermEval Shared Task on Offensive Tweet Detection h_da submission
Isabell Börner, Midhad Blazevic, Maximilian Komander and Margot Mieskes

HAU at the GermEval 2019 Shared Task on the Identification of Offensive Language in Microposts: System Description of Word List, Statistical and Hybrid Approaches
Johannes Schäfer, Tom De Smedt and Sylvia Jaki

UPB at GermEval-2019 Task 2: BERT-Based Offensive Language Classification of German Tweets
Andrei Paraschiv and Dumitru-Clementin Cercel

hpiDEDIS at GermEval 2019: Offensive Language Identification using a German BERT model
Julian Risch, Anke Stoll, Marc Ziegele and Ralf Krestel

The HUIU Contribution for the GermEval Shared Task 2
Melanie Andresen, Melitta Gillmann, Jowita Grala, Sarah Jablotschkin, Lea Röseler, Eleonore Schmitt, Lena Schnee, Katharina Straka, Michael Vauth, Sandra Kübler and Heike Zinsmeister

TUWienKBS19 at GermEval Task 2, 2019: Ensemble Learning for German Offensive Language Detection
Joaquín Padilla Montani and Peter Schüller

RGCL at GermEval 2019: Offensive Language Detection with Deep Learning
Alistair Plum, Tharindu Ranasinghe, Constantin Orǎsan, Ruslan Mitkov

FKIE - Offensive Language Detection on Twitter at GermEval 2019
Theresa Krumbiegel

bertZH at GermEval 2019: Fine-Grained Classification of German Offensive Language using Fine-Tuned BERT
Tim Graf and Luca Salini