Papers by Md Iftekhar Tanveer

2 papers
SyntaViz: Visualizing Voice Queries through a Syntax-Driven Hierarchical Ontology (D18-2)

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Challenge: SyntaViz provides quick access to high-impact failure points of the existing intent understanding system and evidence for data-driven decisions in the development cycle.
Approach: They propose a visualization interface specifically designed for analyzing natural-language queries created by users of a voice-enabled product.
Outcome: The proposed visualization interface helps developers identify multiple action items in a short amount of time without any special training.
UR-FUNNY: A Multimodal Language Dataset for Understanding Humor (D19-1)

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Challenge: Humor is a unique and creative communicative behavior often displayed during social interactions.
Approach: They present a dataset that allows to model multimodal language used in expressing humor using text, visual and acoustic communication.
Outcome: The proposed framework opens the door to understanding multimodal language used in expressing humor.

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