6 papers
BLADE: Better Language Answers through Dialogue and Explanations
Chathuri Jayaweera, Bonnie J. Dorr, Phoebe Huang
Large language model (LLM)-based educational assistants often provide direct answers offering little incentive for students to explore or engage with course materials. We present B…
Commonsense on Demand: Generating and Selectively Integrating Commonsense Knowledge for Natural Language Inference
Chathuri Jayaweera, Brianna Yanqui, Bonnie J. Dorr +1
Natural Language Inference (NLI) determines whether a premise entails, contradicts, or is neutral with respect to a hypothesis. The task is often framed as emulating human inferenc…
From Disagreement to Understanding: The Case for Ambiguity Detection in NLI
Chathuri Jayaweera, Bonnie J. Dorr
This position paper argues that annotation disagreement in Natural Language Inference (NLI) is not mere noise but often reflects meaningful variation, especially when triggered by…
DAHRS: Divergence-Aware Hallucination-Remediated SRL Projection
Sangpil Youm, Brodie Mather, Chathuri Jayaweera +2
Semantic role labeling (SRL) enriches many downstream applications, e.g., machine translation, question answering, summarization, and stance/belief detection. However, building mul…
Balancing Transparency and Accuracy: A Comparative Analysis of Rule-Based and Deep Learning Models in Political Bias Classification
Manuel Nunez Martinez, Sonja Schmer-Galunder, Zoey Liu +3
The unchecked spread of digital information, combined with increasing political polarization and the tendency of individuals to isolate themselves from opposing political viewpoint…
AMREx: AMR for Explainable Fact Verification
Chathuri Jayaweera, Sangpil Youm, Bonnie Dorr
With the advent of social media networks and the vast amount of information circulating through them, automatic fact verification is an essential component to prevent the spread of…