mlsanityData to 7 Oct 2026

What Types of Questions Require Conversation to Answer? A Case Study of AskReddit Questions

arXiv 2303.17710 ↗First posted 30 Mar 2023cs.HC cs.CLcited by 1

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Abstract (arXiv)

The proliferation of automated conversational systems such as chatbots, spoken-dialogue systems, and smart speakers, has significantly impacted modern digital life. However, these systems are primarily designed to provide answers to well-defined questions rather than to support users in exploring complex, ill-defined questions. In this paper, we aim to push the boundaries of conversational systems by examining the types of nebulous, open-ended questions that can best be answered through conversation. We first sampled 500 questions from one million open-ended requests posted on AskReddit, and then recruited online crowd workers to answer eight inquiries about these questions. We also performed open coding to categorize the questions into 27 different domains. We found that the issues people believe require conversation to resolve satisfactorily are highly social and personal. Our work provides insights into how future research could be geared to align with users' needs.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 8 of its 19 references that are in the map. First posted on arXiv 30 Mar 2023.

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8 of 19 references.

References · 8

  1. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,160
  2. 2020DeBERTa: Decoding-enhanced BERT with Disentangled Attentioncited by 2,157
  3. 2020Towards a Human-like Open-Domain Chatbotcited by 467
  4. 2022Neural Approaches to Conversational Information Retrievalcited by 41
  5. 2022Conversational Information Seekingcited by 36
  6. 2022"I think this is the most disruptive technology": Exploring Sentiments of ChatGPT Early Adopters using Twitter Datacited by 32
  7. 2018Evorus: A Crowd-powered Conversational Assistant Built to Automate Itself Over Timecited by 10
  8. 2019On Automating Conversationscited by 1

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