Search Results for author: Ibrahim Khebour

Found 3 papers, 2 papers with code

Common Ground Tracking in Multimodal Dialogue

1 code implementation26 Mar 2024 Ibrahim Khebour, Kenneth Lai, Mariah Bradford, Yifan Zhu, Richard Brutti, Christopher Tam, Jingxuan Tu, Benjamin Ibarra, Nathaniel Blanchard, Nikhil Krishnaswamy, James Pustejovsky

Within Dialogue Modeling research in AI and NLP, considerable attention has been spent on ``dialogue state tracking'' (DST), which is the ability to update the representations of the speaker's needs at each turn in the dialogue by taking into account the past dialogue moves and history.

Dialogue State Tracking

How Good is Automatic Segmentation as a Multimodal Discourse Annotation Aid?

no code implementations27 May 2023 Corbin Terpstra, Ibrahim Khebour, Mariah Bradford, Brett Wisniewski, Nikhil Krishnaswamy, Nathaniel Blanchard

We (1) manually transcribe utterances in a dataset of triads collaboratively solving a problem involving dialogue and physical object manipulation, (2) annotate collaborative moves according to these gold-standard transcripts, and then (3) apply these annotations to utterances that have been automatically segmented using toolkits from Google and OpenAI's Whisper.

Segmentation

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