Papers by Keith Diedrick

2 papers
Conversational Semantic Parsing (2020.emnlp-main)

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Challenge: Structured representations for task-oriented assistant systems are limited due to the limitations of the representation.
Approach: They propose a semantic representation for task-oriented conversational systems that can represent co-reference and context carryover.
Outcome: The proposed model improves the best results on ATIS, SNIPS, TOP and DSTC2 by up to 5 points for slot-carryover.
Sound Natural: Content Rephrasing in Dialog Systems (2020.emnlp-main)

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Challenge: Currently, virtual assistants work in the paradigm of intent-slot tagging and the slot values are directly passed as-is to the execution engine.
Approach: They propose to use BART to rephrase a query to make it more natural . they propose to add a copy-pointer and copy loss to it to improve performance .
Outcome: The proposed model improves on existing models by adding a copy-pointer and copy loss.

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