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Who Is Missing? Characterizing the Participation of Different Demographic Groups in a Korean Nationwide Daily Conversation Corpus

arXiv 2204.09209 ↗First posted 20 Apr 2022cs.CL cs.LGcited by 2

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Abstract (arXiv)

A conversation corpus is essential to build interactive AI applications. However, the demographic information of the participants in such corpora is largely underexplored mainly due to the lack of individual data in many corpora. In this work, we analyze a Korean nationwide daily conversation corpus constructed by the National Institute of Korean Language (NIKL) to characterize the participation of different demographic (age and sex) groups in the corpus.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 3 of its 17 references that are in the map. First posted on arXiv 20 Apr 2022.

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3 of 17 references.

References · 3

  1. 2016A Persona-Based Neural Conversation Modelcited by 223
  2. 2015The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systemscited by 172
  3. 2015Neural Responding Machine for Short-Text Conversationcited by 124

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