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Dialogue management in conversational systems: a review of approaches, challenges, and opportunities
Attracted by their easy-to-use interfaces and captivating benefits, conversational systems
have been widely embraced by many individuals and organizations as side-by-side digital …
have been widely embraced by many individuals and organizations as side-by-side digital …
" Do you follow me?": A Survey of Recent Approaches in Dialogue State Tracking
L Jacqmin, LM Rojas-Barahona, B Favre - ar** many aspects of industry and wider society at a global …
Dialogue state tracking with a language model using schema-driven prompting
Task-oriented conversational systems often use dialogue state tracking to represent the
user's intentions, which involves filling in values of pre-defined slots. Many approaches have …
user's intentions, which involves filling in values of pre-defined slots. Many approaches have …
Action-based conversations dataset: A corpus for building more in-depth task-oriented dialogue systems
Existing goal-oriented dialogue datasets focus mainly on identifying slots and values.
However, customer support interactions in reality often involve agents following multi-step …
However, customer support interactions in reality often involve agents following multi-step …
Sgd-x: A benchmark for robust generalization in schema-guided dialogue systems
Zero/few-shot transfer to unseen services is a critical challenge in task-oriented dialogue
research. The Schema-Guided Dialogue (SGD) dataset introduced a paradigm for enabling …
research. The Schema-Guided Dialogue (SGD) dataset introduced a paradigm for enabling …
AugNLG: Few-shot natural language generation using self-trained data augmentation
Natural Language Generation (NLG) is a key component in a task-oriented dialogue system,
which converts the structured meaning representation (MR) to the natural language. For …
which converts the structured meaning representation (MR) to the natural language. For …