Germeval Task 2018 — Shared Task on the Identification of Offensive Language
The proceedings of GermEval Task 2018 can be found here
The results of the evaluation, that is, the ranking of all system runs that were submitted to the shared task, are publicly available via the following GIT-repository:
https://github.com/uds-lsv/GermEval-2018-Data
A summary of the survey is available at: https://github.com/uds-lsv/GermEval-2018-Data
Workshop Program
The workshop was held on Friday, September 21, in Vienna, Dr. Ignaz-Seipel-Platz 2 (Clubraum)..
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09:00 – 10:30 Oral Talks – Session 1
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09:00 – 10:00 Welcome and Overview of the GermEval 2018 Shared Task on the
Identification of Offensive Language
Melanie Siegel, Josef Ruppenhofer, and Michael Wiegand
10:00 – 10:30 TUWienKBS at GermEval 2018: German Abusive Tweet Detection
Joaquín Padilla Montani and Peter Schüller
10:30 – 11:00 Coffee Break
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11:00 – 12:30 Oral Talks – Session 2
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11:00 – 11:30 Transfer Learning from LDA to BiLSTM-CNN for Offensive Language Detection in
Gregor Wiedemann, Eugen Ruppert, Raghav Jindal, and Chris Biemann
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11:30–12:00 Feature Explorations for Hate Speech Classification
Tatjana Scheffler, Erik Haegert, Santichai Pornavalai, and Mino Lee Sasse
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12:00–12:30 Offensive Language Detection with Neural Networks for Germeval Task 2018
Dominik Stammbach, Polina Stadnikova, Azin Zahraei, and Dietrich Klakow
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12:30–13:30 Lunch Break
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13:30–14:30 Oral Talks – Session 3
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13:30–14:00 Offensive Language without Offensive Words (OLWOW)
Manfred Klenner
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14:00–14:30 Challenges of Automatically Detecting Offensive Language Online: Participation
Paper for the Germeval Shared Task 2018 (HaUA)
Tom De Smedt and Sylvia Jaki
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14:30–16:00 Poster Session and Coffee
CNN-Based Offensive Language Detection
Jian Xi, Michael Spranger, and Dirk Labudde
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Fine-Grained Classification of Offensive Language
Julian Risch, Eva Krebs, Alexander Löser, Alexander Riese, and Ralf Krestel
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German Hate Speech Detection on Twitter
Samantha Kent
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GermEval 2018 : Machine Learning and Neural Network Approaches for Offensive
Language Identification
Pruthwik Mishra, Vandan Mujadia, and Soujanya Lanka
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h_da Submission for the Germeval Shared Task on the Identification of Offensive Language
Melanie Siegel and Markus Meyer
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HIIwiStJS at GermEval-2018: Integrating Linguistic Features in a Neural Network
for the Identification of Offensive Language in Microposts
Johannes Schäfer
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InriaFBK at Germeval 2018: Identifying Offensive Tweets Using Recurrent Neural
Networks
Michele Corazza, Stefano Menini, Pinar Arslan, Rachele Sprugnoli, Elena Cabrio,
Sara Tonelli, and Serena Villata
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KAUSTmine – Offensive Comment Classification on German Language Microposts
Matthias Bachfischer, Uchenna Akujuobi, and Xiangliang Zhang
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RuG at GermEval: Detecting Offensive Speech in German Social Media
Xiaoyu Bai, Flavio Merenda, Claudia Zaghi, Tommaso Caselli, and Malvina Nissim
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Saarland University’s Participation in the GermEval Task 2018 — Examining
Different Types of Classifiers and Features
Michael Wiegand, Tatiana Anikina, Anastasija Amann, Aikaterini Azoidou, Anastasia
Borisenkov, Kirstin Kolmorgen, Insa Kröger, and Christine Schäfer
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spMMMP at GermEval 2018 Shared Task: Classification of Offensive Content in
Tweets using Convolutional Neural Networks and Gated Recurrent Units
Dirk von Grünigen, Ralf Grubenmann, Fernando Benites, Pius von Däniken, and
Mark Cieliebak
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Towards the Automatic Classification of Offensive Language and Related
Phenomena in German Tweets
Julián Moreno Schneider, Roland Roller, Peter Bourgonje, Stefanie Hegele, and
Georg Rehm
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ULMFiT at GermEval-2018: A Deep Neural Language Model for the Classification
of Hate Speech in German Tweets
Kristian Rother and Achim Rettberg
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upInf – Offensive Language Detection in German Tweets
Bastian Birkeneder, Jelena Mitrović, Julia Niemeier, Leon Teubert, and Siegfried
Handschuh
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16:00-17:00 Discussion + Closing
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Workshop Registration
All details regarding the workshop registration can be found on the KONVENS-2018 website.