Publication: Zipf's Law in Human-Machine Dialog
Zipf's Law in Human-Machine Dialog
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Linders, G. M., & Louwerse, M. M. (2020). Zipf’s Law in Human-Machine Dialog. Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents, 1–8. https://doi.org/10.1145/3383652.3423878
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Zipf’s law is a mathematically relatively simple formula stating that the frequency of a word is inversely correlated with its rank. Zipf’s law is well-known in computational linguistics and cognitivesciences alike. In the context of agent development, however, Zipf’s law has hardly ever been mentioned. This is surprising as principles regarding language likely benefit the development of conversational agents. This paper serves as a starting point to explore the role of Zipf’s law in agent development, showing that Zipf’s law also app
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Linders, G. M., & Louwerse, M. M. (2020). Zipf’s Law in Human-Machine Dialog. Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents, 1–8. https://doi.org/10.1145/3383652.3423878