English

Analysis of Language Change in Collaborative Instruction Following

Computation and Language 2021-09-10 v1

Abstract

We analyze language change over time in a collaborative, goal-oriented instructional task, where utility-maximizing participants form conventions and increase their expertise. Prior work studied such scenarios mostly in the context of reference games, and consistently found that language complexity is reduced along multiple dimensions, such as utterance length, as conventions are formed. In contrast, we find that, given the ability to increase instruction utility, instructors increase language complexity along these previously studied dimensions to better collaborate with increasingly skilled instruction followers.

Keywords

Cite

@article{arxiv.2109.04452,
  title  = {Analysis of Language Change in Collaborative Instruction Following},
  author = {Anna Effenberger and Eva Yan and Rhia Singh and Alane Suhr and Yoav Artzi},
  journal= {arXiv preprint arXiv:2109.04452},
  year   = {2021}
}

Comments

Findings of EMNLP 2021 Short Paper

R2 v1 2026-06-24T05:50:12.643Z