Leveraging Speech Acts for Low-Data and Cross-Domain Conversation Derailment Forecasting

arXiv:2608.25359 · cs.CL · Submitted 2026-08-26 · Read on arXiv

cs.CL

Submitted: 2026-08-26

Updated: 2026-09-09

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• AUC — 53× in this paper · explained in 2 episodes
• Ablation — 23× in this paper · explained in 1 episode
• Generalizability — 13× in this paper · explained in 6 episodes
• Robustness — 11× in this paper · explained in 5 episodes
• Aggregation — 7× in this paper · explained in 1 episode
• Transformer — 6× in this paper · explained in 2 episodes
• Generalization — 5× in this paper · explained in 13 episodes
• Transferability — 4× in this paper · explained in 4 episodes
• Alignment — 3× in this paper · explained in 1 episode
• Embeddings — 3× in this paper · explained in 2 episodes
• Empirical Methods in Natural Language Processing — 3× in this paper
• F1 Score — 3× in this paper · explained in 3 episodes
• Pragmatics — 3× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Domain Shift — 2× in this paper · explained in 4 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Action Space — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Annotator Agreement — 1× in this paper · explained in 1 episode
• Area Under the Precision-Recall Curve — 1× in this paper
• Benchmark — 1× in this paper · explained in 2 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Hierarchical Framework — 1× in this paper · explained in 2 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Nash Equilibrium — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Semantic Gap — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes
• Wasserstein Distance — 1× in this paper · explained in 4 episodes

Sources

• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
• Understanding and Predicting Derailment in Toxic Conversations on GitHub
• DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
• RoBERTa: A Robustly Optimized BERT Pretraining Approach
• gpt-oss-120b & gpt-oss-20b Model Card
• Conversations Gone Awry, But Then? Evaluating Conversational Forecasting Models

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