The Impact of Synthetic Data Augmentation on Discourse-Pragmatic Function Classification

arXiv:2609.03652 · cs.CL · Submitted 2026-09-03 · Read on arXiv

cs.CL

Submitted: 2026-09-03

Updated: 2026-09-03

Terminology

AUC — 33× in this paper · explained in 2 episodes
Accuracy — 32× in this paper · explained in 1 episode
Discourse Marker — 17× in this paper
Core — 10× in this paper · explained in 2 episodes
Data Augmentation — 10× in this paper · explained in 7 episodes
Attention Signal — 7× in this paper
Pragmatics — 7× in this paper · explained in 2 episodes
Embeddings — 4× in this paper · explained in 2 episodes
British National Corpus — 3× in this paper
Consistency — 3× in this paper · explained in 3 episodes
F1 Score — 3× in this paper · explained in 3 episodes
Sparsity — 3× in this paper · explained in 4 episodes
Robustness — 2× in this paper · explained in 5 episodes
Transformer — 2× in this paper · explained in 2 episodes
Adaptation — 1× in this paper · explained in 1 episode
Anisotropy — 1× in this paper · explained in 3 episodes
Benchmark — 1× in this paper · explained in 2 episodes
Feature Engineering — 1× in this paper · explained in 3 episodes
Fine-Tuning — 1× in this paper · explained in 5 episodes
Frustration — 1× in this paper · explained in 2 episodes
Iterative Refinement — 1× in this paper · explained in 3 episodes
Structural Constraints — 1× in this paper · explained in 2 episodes

Sources

The Llama 3 Herd of Models

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