01/15/2021

Four scientific contributions accepted for EACL 2021

Four scientific contributions of our department were accepted for EACL. Congratulations to all authors!

  • "Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning" (Short Paper), authors: Ernie Chang, Hui-Syuan Yeh and Vera Demberg
  • "Neural Data-to-Text Generation with LM-based Text Augmentation" (Long Paper), authors: Ernie Chang, Xiaoyu Shen, Dawei Zhu, Vera Demberg and Hui Su
  • "Jointly Improving Language Understanding and Language Generation with Quality-Weighted Weak Supervision of Automatic Labeling" (Long Paper), authors: Ernie Chang, Vera Demberg and Alex Marin
  • "T2NER: Transformers based Transfer Learning Framework for Named Entity Recognition", authors: Saadullah Amin and Guenter Neumann (DFKI & UdS)