Papers by Alan Zemel

1 papers
Learning to Plan and Realize Separately for Open-Ended Dialogue Systems (2020.findings-emnlp)

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Challenge: Existing approaches to natural language generation are construed as end-to-end systems . however, some issues persist, such as coherence of output and repetition/hallucination of tokens .
Approach: They propose to decouple natural language generation into two phases: planning and realization.
Outcome: The proposed approach performs better than an end-to-end approach.

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