Papers by Cassidy Henry

2 papers
Dialogue Structure Annotation for Multi-Floor Interaction (L18-1)

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Challenge: Existing annotation schemes do not address dialogue structure.
Approach: They propose an annotation scheme for meso-level dialogue structure that clusters utterances from multiple participants and floors into units according to realization of an initiator's intent.
Outcome: The proposed annotation scheme is used to annotate a corpus of human-robot interaction dialogues.
SCOUT: A Situated and Multi-Modal Human-Robot Dialogue Corpus (2024.lrec-main)

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Challenge: The corpus contains 89,056 utterances and 310,095 words from 278 dialogues averaging 320 utterrances per dialogue.
Approach: They present the Situated Corpus Of Understanding Transactions, a multi-modal collection of human-robot dialogue in the task domain of collaborative exploration.
Outcome: The Situated Corpus Of Understanding Transactions (SCOUT) contains 89,056 utterances and 310,095 words from 278 dialogues averaging 320 utterrances per dialogue.

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