Probabilistic Labeling for Efficient Referential Grounding based on Collaborative Discourse

Discourse Coherence, Reference Grounding and Goal Oriented Dialogue

Prior approaches to realizing mixed-initiative human--computer referential communication have adopted information-state or collaborative problem-solving approaches. In this paper, we argue for a new approach, inspired by…

Modeling Collaborative Referring for Situated Referential Grounding

Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding

Weakly supervised referring expression grounding aims at localizing the referential object in an image according to the linguistic query, where the mapping between the referential object and query is unknown in the train…

Introducing Frege to Fillmore: A FrameNet Dataset that Captures both Sense and Reference

This article presents the first output of the Dutch FrameNet annotation tool, which facilitates both referential- and frame annotations of language-independent corpora. On the referential level, the tool links in-text me…

Beyond Hooking Onto the World: Referential Profiles and the Numerical Structure of LLM Grounding

This paper revisits the grounding problem for large language models in light of recent vector-grounding accounts. I accept the shift from classical symbol grounding to vector grounding, but argue that the current debate …