Welcome to the IKCEST

arXiv | Vol., Issue. | 2020-09-02 | Pages

arXiv

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

Shmueli-Scheuer, Michal   Jerbi, Achiya   Lev, Guy   Konopnicki, David  
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.

Original Text (This is the original text for your reference.)

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

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.

+More

Keywords

A New orgFAQ Jobs Dataset

Cite this article
APA

APA

MLA

Chicago

Shmueli-Scheuer, Michal, Jerbi, Achiya,Lev, Guy, Konopnicki, David,.orgFAQ: A New Dataset and Analysis on Organizational FAQs and User Questions. (),.

Disclaimer: The translated content is provided by third-party translation service providers, and IKCEST shall not assume any responsibility for the accuracy and legality of the content.
Translate engine
Article's language
English
中文
Pусск
Français
Español
العربية
Português
Kikongo
Dutch
kiswahili
هَوُسَ
IsiZulu
Action
Recommended articles

Report

Select your report category*



Reason*



By pressing send, your feedback will be used to improve IKCEST. Your privacy will be protected.

Submit
Cancel