Summary Types of Questions Requiring Conversation A Case Study arxiv.org
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One Line
A study analyzed 500 asking-for-help questions to identify the types that pose challenges for automated conversational systems.
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Key Points
- Automated conversational systems like chatbots and smart speakers are designed to answer well-defined questions, not complex open-ended questions.
- The study aims to identify the types of nebulous questions that are best answered through conversation.
- The researchers sampled 500 asking-for-help questions from AskReddit and recruited crowd workers to answer inquiries about these questions.
- The focus of the study was on one-on-one conversations rather than conversations with a crowd.
- Questions related to mental health, life suggestions, religion, and socializing were believed to require conversations for answers.
- A model is needed to personalize communication channels for intelligent question-answering systems.
- The study examined the characteristics of asking-for-help questions to determine the need for conversation in answering them.
Summaries
19 word summary
Automated conversational systems struggle with complex questions. A study analyzed 500 asking-for-help questions to determine which types require conversation.
38 word summary
Automated conversational systems like chatbots and smart speakers are not well-equipped to handle complex, open-ended questions. A study by Huang et al. aimed to identify the types of questions that require conversation the most. They analyzed 500 asking-for-help
329 word summary
Automated conversational systems like chatbots and smart speakers are designed to provide answers to well-defined questions rather than supporting users in exploring complex, open-ended questions. This study aims to examine the types of nebulous questions that are best answered through conversation.
The study conducted by Huang et al. aimed to understand which types of questions require conversation the most. They sampled 500 asking-for-help questions from one million random AskReddit questions and recruited crowd workers from Amazon Mechanical Turk to answer eight inquiries about these questions
The focus of this study was on questions that require one-on-one conversation with a single partner rather than a crowd. The researchers built a classifier to identify questions that were asking for help, as opposed to questions meant to engage a large audience. They annotated
Table 3 displays the classification performance of the Asking-for-help category on the validation set. The decision threshold was adjusted to increase the recall to 0.7. The text classifier was then used on the entire one-million-reddit-questions dataset and
One author categorized 500 asking-for-help questions into 44 mutually exclusive categories. Categories with less than five questions were merged into an "Other" category, resulting in a total of 27 categories. Another author independently coded 100 randomly sampled questions,
The study analyzed the types of questions that require conversation to answer. It found that questions without clear answers, such as those related to mental health, life suggestions, religion, and socializing, were believed to need conversations. Questions with concrete responses, such
A model is needed to personalize communication channels for intelligent question-answering systems. The authors express gratitude to reviewers and MTurk workers. The references cited include sources on social media and news, cognitive behavior therapy, neural approaches to conversational information
This summary explores the types of questions that require conversation to answer, using a case study of AskReddit questions. The study collected opinions from online crowd workers through eight questions using the MTurk interface. The researchers examined the characteristics of these questions to determine