Pragmatics (11/30/2023)
Pragmatics
- Recommended: Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches
- Reference: Unified Pragmatic Models for Generating and Following Instructions
- Reference: Speaker-Follower Models for Vision-and-Language Navigation
- Reference: Lost in Machine Translation: A Method to Reduce Meaning Loss
- Reference: Coder Reviewer Reranking for Code Generation
- Reference: Context-Aware Captions from Context-Agnostic Supervision
- Reference: Pragmatic Inference with a CLIP Listener for Contrastive Captioning
- Reference: Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences
- Reference: Continual adaptation for efficient machine communication
- Reference: Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding
- Reference: CREPE
- Reference: Presupposition verification
- Reference: Communication-based Evaluation for Natural Language Generation
Slides: Pragmatics Slides