6 papers · 1 filter
ChronoLens: Measuring Language Change Across Time, Languages, and Linguistic Levels
Gagan Bhatia, Julian Schlenker, Simone Paolo Ponzetto +1
Historical language change affects morphology, syntax, semantics, and pragmatics, yet computational studies typically examine these levels with incompatible representations and the…
Who Annotates in NLP? A Large-scale Assessment of Human Annotation Reporting between 2018 and 2025
Maria Kunilovskaya, Gagan Bhatia, Lisa Sophie Albertelli +10
Human annotation is the empirical foundation of much NLP research, from dataset construction to model evaluation, but papers often leave unclear who produced the annotations and ho…
Emotionally Charged, Logically Blurred: AI-driven Emotional Framing Impairs Human Fallacy Detection
Yanran Chen, Lynn Greschner, Roman Klinger +2
Logical fallacies are common in public communication and can mislead audiences; fallacious arguments may still appear convincing despite lacking soundness, because convincingness i…
Do Emotions Really Affect Argument Convincingness? A Dynamic Approach with LLM-based Manipulation Checks
Yanran Chen, Steffen Eger
Emotions have been shown to play a role in argument convincingness, yet this aspect is underexplored in the natural language processing (NLP) community. Unlike prior studies that u…
Evaluating Diversity in Automatic Poetry Generation
Yanran Chen, Hannes Gröner, Sina Zarrieà +1
Natural Language Generation (NLG), and more generally generative AI, are among the currently most impactful research fields. Creative NLG, such as automatic poetry generation, is a…
Syntactic Language Change in English and German: Metrics, Parsers, and Convergences
Yanran Chen, Wei Zhao, Anne Breitbarth +3
Many studies have shown that human languages tend to optimize for lower complexity and increased communication efficiency. Syntactic dependency distance, which measures the linear…