Papers by Panagiotis Karagiannis

1 papers
A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation (N18-1)

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Challenge: a recent study has shown that natural language generators produce utterances with humanlike coherence and naturalness for many different kinds of content.
Approach: They propose to use a neural language generator to generate a syntactically and semantically correct utterance from a given MR.
Outcome: The proposed model outperforms state-of-the-art models on restaurant, TV and laptop datasets.

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