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Found 6 papers, 1 papers with code
Rewarding Semantic Similarity under Optimized Alignments for AMR-to-Text Generation
A common way to combat exposure bias is by applying scores from evaluation metrics as rewards in reinforcement learning (RL).
Hierarchical Context Tagging for Utterance Rewriting
HCT (i) tags the source string with token-level edit actions and slotted rules and (ii) fills in the resulting rule slots with spans from the dialogue context.
Latent Tree Decomposition Parsers for AMR-to-Text Generation
Graph encoders in AMR-to-text generation models often rely on neighborhood convolutions or global vertex attention.
Tree Decomposition Attention for AMR-to-Text Generation
Text generation from AMR requires mapping a semantic graph to a string that it annotates.
Generalized Shortest-Paths Encoders for AMR-to-Text Generation
Instead of feeding shortest paths to the vertex self-attention module, we train a model to learn them using generalized shortest-paths algorithms.
AMR-to-Text Generation with Cache Transition Systems
To enforce a sentence-aligned graph traversal and provide local graph context, we predict transition-based parser actions in addition to English words.
