orgFAQ: A New Dataset and Analysis on Organizational FAQs and User Questions

September 03, 2020 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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Authors Guy Lev, Michal Shmueli-Scheuer, Achiya Jerbi, David Konopnicki arXiv ID 2009.01460 Category cs.CL: Computation & Language Citations 2 Venue arXiv.org Last Checked 5 months ago
Abstract
Frequently Asked Questions (FAQ) webpages are created by organizations for their users. FAQs are used in several scenarios, e.g., to answer user questions. On the other hand, the content of FAQs is affected by user questions by definition. In order to promote research in this field, several FAQ datasets exist. However, we claim that being collected from community websites, they do not correctly represent challenges associated with FAQs in an organizational context. Thus, we release orgFAQ, a new dataset composed of $6988$ user questions and $1579$ corresponding FAQs that were extracted from organizations' FAQ webpages in the Jobs domain. In this paper, we provide an analysis of the properties of such FAQs, and demonstrate the usefulness of our new dataset by utilizing it in a relevant task from the Jobs domain. We also show the value of the orgFAQ dataset in a task of a different domain - the COVID-19 pandemic.
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