LPI-RIT at LeWiDi-2025: Improving Distributional Predictions via Metadata and Loss Reweighting with DisCo

arXiv:2508.08163 · cs.CL, cs.AI, cs.LG · Submitted 2025-08-11 · Read on arXiv

cs.CL, cs.AI, cs.LG

Submitted: 2025-08-11

Updated: 2025-10-05

Terminology

• Alignment — 12× in this paper · explained in 1 episode
• Calibration — 12× in this paper · explained in 7 episodes
• Embeddings — 11× in this paper · explained in 2 episodes
• Loss Function — 7× in this paper · explained in 2 episodes
• Transformer — 6× in this paper · explained in 2 episodes
• Wasserstein Distance — 4× in this paper · explained in 4 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Adam — 3× in this paper · explained in 2 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Conversational Sarcasm Corpus — 3× in this paper
• Core — 3× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Activation Function — 2× in this paper · explained in 1 episode
• Accountability — 1× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Annotation Errors — 1× in this paper · explained in 1 episode
• Bayesian Framework — 1× in this paper · explained in 3 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Distribution of Normalized Absolute Distance — 1× in this paper
• Fidelity — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Intersectionality — 1× in this paper · explained in 2 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Natural Language Inference — 1× in this paper
• Natural Language Inference (NLI) — 1× in this paper · explained in 2 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Transformer Models — 1× in this paper · explained in 2 episodes

Sources

• Yara Parser: A Fast and Accurate Dependency Parser

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