The Proceedings are available online. 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