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SIMMC 2.0: A task-oriented dialog dataset for immersive multimodal conversations
Next generation task-oriented dialog systems need to understand conversational contexts
with their perceived surroundings, to effectively help users in the real-world multimodal …
with their perceived surroundings, to effectively help users in the real-world multimodal …
Design of a competition specifically for spoken dialogue with a humanoid robot
Many dialogue system competitions have been held on, but no competition has been
organized specifically for spoken dialogue with humanoid robots. As the first ever such …
organized specifically for spoken dialogue with humanoid robots. As the first ever such …
Affordance embeddings for situated language understanding
Much progress in AI over the last decade has been driven by advances in natural language
processing technology, in turn facilitated by large datasets and increased computation …
processing technology, in turn facilitated by large datasets and increased computation …
SIMMC-VR: A Task-oriented Multimodal Dialog Dataset with Situated and Immersive VR Streams
Building an AI assistant that can seamlessly converse and instruct humans, in a user-centric
situated scenario, requires several essential abilities:(1) spatial and temporal understanding …
situated scenario, requires several essential abilities:(1) spatial and temporal understanding …
Muse: A Multimodal Conversational Recommendation Dataset with Scenario-Grounded User Profiles
Current conversational recommendation systems focus predominantly on text. However, real-
world recommendation settings are generally multimodal, causing a significant gap between …
world recommendation settings are generally multimodal, causing a significant gap between …