English

Toward Givenness Hierarchy Theoretic Natural Language Generation

Computation and Language 2020-08-03 v1 Artificial Intelligence

Abstract

Language-capable interactive robots participating in dialogues with human interlocutors must be able to naturally and efficiently communicate about the entities in their environment. A key aspect of such communication is the use of anaphoric language. The linguistic theory of the Givenness Hierarchy(GH) suggests that humans use anaphora based on the cognitive statuses their referents have in the minds of their interlocutors. In previous work, researchers presented GH-theoretic approaches to robot anaphora understanding. In this paper we describe how the GH might need to be used quite differently to facilitate robot anaphora generation.

Keywords

Cite

@article{arxiv.2007.16009,
  title  = {Toward Givenness Hierarchy Theoretic Natural Language Generation},
  author = {Poulomi Pal and Tom Williams},
  journal= {arXiv preprint arXiv:2007.16009},
  year   = {2020}
}

Comments

Extended Abstract accepted for (non-archival) presentation at Advances in Cognitive Systems 2020

R2 v1 2026-06-23T17:33:14.208Z