9 Papers unserer Fachrichtung wurden bei der EMNLP 2021 angenommen. Wir gratulieren allen Autorinnen und Autoren!
Hauptkonferenz
- Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification. Daria Pylypenko, Kwabena Amponsah-Kaakyire, Koel Dutta Chowdhury, Josef van Genabith und Cristina España-Bonet. Long Paper. EMNLP 2021. SFB & LST & DFKI.
- Investigating the Helpfulness of Word-Level Quality Estimation for Post-Editing Machine Translation Output. Raksha Shenoy, Nico Herbig, Antonio Krüger und Josef van Genabith. Long Paper. EMNLP 2021. DFKI & LST.
- Aligning Actions Across Recipe Graphs. Lucia Donatelli, Theresa Schmidt, Debanjali Biswas, Arne Köhn, Fangzhou Zhai und Alexander Koller. Long paper. EMNLP 2021.
- Preventing Author Profiling through Zero-Shot Multilingual Back-Translation. David Adelani, Miaoran Zhang, Xiaoyu Shen, Ali Davody, Thomas Kleinbauer und Dietrich Klakow. Short Paper. EMNLP 2021.
- FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations. Lukas Lange, Heike Adel, Jannik Strötgen und Dietrich Klakow. Long Paper. EMNLP 2021.
- To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning. Lukas Lange, Heike Adel, Jannik Strötgen und Dietrich Klakow. Long Paper. EMNLP 2021.
Demo-Paper
- TransIns: Document Translation with Markup Reinsertion. Jörg Steffen und Josef van Genabith. Demo Paper. EMNLP 2021. DFKI & LST.
Findings
- AutoEQA: Auto-Encoding Question for improving Extractive Question Answering. Stalin Varanasi, Saadullah Amin und Guenter Neumann. Short Paper. Findings of EMNLP. DFKI & LST.
- Learning Hard Retrieval Decoder Attention for Transformers. Hongfei Xu, Qiuhui Liu, Josef van Genabith und Deyi Xiong. Short Paper. Findings of EMNLP. DFKI & LST.