21.09.2020

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