Sechs wissenschaftliche Beiträge bei EMNLP 2020 angenommen

Sechs wissenschaftliche  Beiträge unserer Fachrichtung wurden von EMNLP angenommen. Herzlichen Glückwunsch an alle Autorinnen und Autoren!

• "Self-Induced Curriculum Learning in Self-Supervised Neural Machine Translation" (Long Paper)
  Autoren: Dana Ruiter, Josef van Genabith and Cristina España-Bonet
• "HUMAN: Hierarchical Universal Modular ANnotator" (Demo-Track)
  Autoren: Moritz Wolf, Dana Ruiter, Ashwin Geet D'Sa, Liane Reiners, Jan Alexandersson and Dietrich Klakow, Demo 
• “Translation Quality Estimation by Jointly Learning to Score and Rank” 
  Autoren: Jingyi Zhang and Josef van Genabith 
• "Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages" (short paper)
  Autoren: Michael A. Hedderich, David Adelani, Dawei Zhu, Jesujoba Alabi, Udia Markus, Dietrich Klakow
• “Fast semantic parsing with well-typedness guarantees” (long paper, Arxiv)
  Autoren: Matthias Lindemann, Jonas Groschwitz and Alexander Koller
• "MovieChats: Chat like Humans in a Closed Domain" (long paper)
  Autoren: Hui Su, Xiaoyu Shen, Zhou Xiao, Zheng Zhang, Ernie Chang, Cheng Zhang, Cheng Niu, Jie Zhou