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Found 3 papers, 1 papers with code
New Domain, Major Effort? How Much Data is Necessary to Adapt a Temporal Tagger to the Voice Assistant Domain
Reliable tagging of Temporal Expressions (TEs, e. g., Book a table at L’Osteria for Sunday evening) is a central requirement for Voice Assistants (VAs).
Enhancing Pipeline-Based Conversational Agents with Large Language Models
A hybrid approach in which LLMs' are integrated into the pipeline-based agents allows them to save time and costs of building and running agents by capitalizing on the capabilities of LLMs while retaining the integration and privacy safeguards of their existing systems.
PATE: A Corpus of Temporal Expressions for the In-car Voice Assistant Domain
The recognition and automatic annotation of temporal expressions (e. g. {``}Add an event for tomorrow evening at eight to my calendar{''}) is a key module for AI voice assistants, in order to allow them to interact with apps (for example, a calendar app).
