Accepted Papers

The following submissions have been accepted to the workshop:

• Where are We in Event-centric Emotion Analysis? Bridging Emotion Role Labeling and Appraisal-based Approaches
  Roman Klinger

• Working Towards Digital Documentation of Uralic Languages With Open-Source Tools and Modern NLP Methods
  Mika Hämäläinen, Jack Rueter, Khalid Alnajjar, Niko Tapio Partanen

• Computational Narrative Understanding: A Big Picture Analysis
  Andrew Piper

• The Case for Scalable, Data-Driven Theory: A Paradigm for Scientific Progress in NLP
  Julian Michael

• Thesis Distillation: Investigating The Impact of Bias in NLP Models on Hate Speech Detection
  Fatma Elsafoury

• Large Language Models as SocioTechnical Systems
  Kaustubh Dhole

• Towards Low-resource Language Generation with Limited Supervision
  Kaushal Kumar Maurya, Maunendra Sankar Desarkar

• Transformers as Graph-to-Graph Models
  James Henderson, Alireza Mohammadshahi, Andrei Catalin Coman, Lesly Miculicich

• It's MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk
  Amanda Bertsch, Alex Xie, Graham Neubig, Matthew R. Gormley

• Analyzing Pre-trained and Fine-tuned Language Models
  Marius Mosbach

In addition, the following Findings of EMNLP 2023 papers have been accepted for presentation at the workshop:

• The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who
  Michael Schlichtkrull, Nedjma Ousidhoum, Andreas Vlachos

• Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing
  Lucie-Aimée Kaffee, Arnav Arora, Zeerak Talat, Isabelle Augenstein