Neural Natural Language Generation
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AbstractNeural natural language generation (NNLG) from structured meaning representations has become increasingly popular in recent years. While we have seen progress with generating syntactically correct utterances that preserve semantics, various …...
Diverse Keyphrase Generation with Neural Unlikelihood Training
AbstractIn this paper, we study sequence-to-sequence (S2S) keyphrase generation models from the perspective of diversity. Recent advances in neural natural language generation have made possible remarkable progress on the task …...
Jointly Improving Language Understanding and Generation with Quality-Weighted Weak Supervision of Automatic Labeling
AbstractNeural natural language generation (NLG) and understanding (NLU) models are data-hungry and require massive amounts of annotated data to be competitive. Recent frameworks address this bottleneck with generative models that …...
Programmable Annotation with Diversed Heuristics and Data Denoising
AbstractNeural natural language generation (NLG) and understanding (NLU) models are costly and require massive amounts of annotated data to be competitive. Recent data programming frameworks address this bottleneck by allowing …...