55 citations · 120 across the 24 of their papers we have counts for
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cs.CL2020
Learning from Mistakes: Combining Ontologies via Self-Training for Dialogue Generation
Lena Reed, Vrindavan Harrison, Shereen Oraby +2
Natural language generators (NLGs) for task-oriented dialogue typically take a meaning representation (MR) as input. They are trained end-to-end with a corpus of MR/utterance pairs…
cs.CL2020★ 4 cited
Schema-Guided Natural Language Generation
Yuheng Du, Shereen Oraby, Vittorio Perera +5
Neural network based approaches to data-to-text natural language generation (NLG) have gained popularity in recent years, with the goal of generating a natural language prompt that…