Search Results for author: Jean Fox Tree

Found 6 papers, 0 papers with code

Predicting Depression in Screening Interviews from Latent Categorization of Interview Prompts

no code implementations ACL 2020 Alex Rinaldi, Jean Fox Tree, Snigdha Chaturvedi

Accurately diagnosing depression is difficult{--} requiring time-intensive interviews, assessments, and analysis.

Coordinating Communication in the Wild: The Artwalk Dialogue Corpus of Pedestrian Navigation and Mobile Referential Communication

no code implementations LREC 2016 Kris Liu, Jean Fox Tree, Marilyn Walker

The task provides a setting for real-world situated dialogic language and is designed to: (1) elicit entrainment and coordination of referring expressions between the dialogue participants, (2) examine the effect of friendship on dialogue strategies, and (3) examine how the need to complete the task while negotiating myriad, unanticipated events in the real world ― such as avoiding cars and other pedestrians ― affects linguistic coordination and other dialogue behaviors.

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A Corpus of Gesture-Annotated Dialogues for Monologue-to-Dialogue Generation from Personal Narratives

no code implementations LREC 2016 Zhichao Hu, Michelle Dick, Chung-Ning Chang, Kevin Bowden, Michael Neff, Jean Fox Tree, Marilyn Walker

This paper presents a new corpus, the Story Dialogue with Gestures (SDG) corpus, consisting of 50 personal narratives regenerated as dialogues, complete with annotations of gesture placement and accompanying gesture forms.

Dialogue Generation

A Verbal and Gestural Corpus of Story Retellings to an Expressive Embodied Virtual Character

no code implementations LREC 2016 Jackson Tolins, Kris Liu, Michael Neff, Marilyn Walker, Jean Fox Tree

We used a novel data collection method where an agent presented story components in installments, which the human would then retell to the agent.

A Corpus for Research on Deliberation and Debate

no code implementations LREC 2012 Marilyn Walker, Jean Fox Tree, Pranav Anand, Rob Abbott, Joseph King

As an application of this resource, the paper closes with a discussion of the relationship between discourse marker pragmatics, agreement, emotionality, and sarcasm in the IAC corpus.

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