2021 EMNLP EMNLP 2021

Is Information Density Uniform in Task-Oriented Dialogues?

Abstract

AbstractThe Uniform Information Density principle states that speakers plan their utterances to reduce fluctuations in the density of the information transmitted. In this paper, we test whether, and within which contextual units this principle holds in task-oriented dialogues. We show that there is evidence supporting the principle in written dialogues where participants play a cooperative reference game as well as in spoken dialogues involving instruction giving and following. Our study underlines the importance of identifying the relevant contextual components, showing that information content increases particularly within topically and referentially related contextual units.

The Questioner
🌉 Interdisciplinary Bridge — Interdisciplinary and Mathematics & Optimization and Natural Language Processing
🧭 Keyword Pioneer — cooperative reference game
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Deep Learning, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Speech & Audio