01.09.2021

9 Papers bei EMNLP 2021 angenommen

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.