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Perceptive feedback for natural language control of robotic operations

Probabilistic Labeling for Efficient Referential Grounding based on Collaborative Discourse

Teaching Robots New Actions through Natural Language Instructions

Modeling Collaborative Referring for Situated Referential Grounding

Towards Situated Dialogue: Revisiting Referring Expression Generation

Autonomous Self-Assessment of Autocorrections: Exploring Text Message Dialogues

Integrating word acquisition and referential grounding towards physical world interaction

Towards Mediating Shared Perceptual Basis in Situated Dialogue

Towards online adaptation and personalization of key-target resizing for mobile devices

A Joint Model of Implicit Arguments for Nominal Predicates