Paper Info
Title
The TechQA Dataset
Abstract
We introduce TechQA, a domain-adaptation question answering dataset for the technical support domain. The TechQA corpus highlights two real-world issues from the automated customer support domain. First, it contains actual questions posed by users on a technical forum, rather than questions generated specifically for a competition or a task. Second, it has a real-world size -- 600 training, 310 dev, and 490 evaluation question/answer pairs -- thus reflecting the cost of creating large labeled datasets with actual data. Consequently, TechQA is meant to stimulate research in domain adaptation rather than being a resource to build QA systems from scratch. The dataset was obtained by crawling the IBM Developer and IBM DeveloperWorks forums for questions with accepted answers that appear in a published IBM Technote---a technical document that addresses a specific technical issue. We also release a collection of the 801,998 publicly available Technotes as of April 4, 2019 as a companion resource that might be used for pretraining, to learn representations of the IT domain language.
Year
Venue
DocType
2020
ACL
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
21
Name
Order
Citations
PageRank
Vittorio Castelli1928129.71
Chakravarti Rishav200.34
Dana Saswati300.34
Anthony Ferritto401.69
Radu Florian592491.44
Martin Franz648353.56
Dinesh Garg701.69
Dinesh Khandelwal802.03
J. Scott Mccarley921421.36
McCawley Mike1000.34
Nasr Mohamed1100.34
Pan Lin1210.69
Pendus Cezar1300.34
John F. Pitrelli1449381.16
Pujar Saurabh1500.34
Salim Roukos166248845.50
Sakrajda Andrzej1700.34
Avirup Sil1813113.85
Uceda-Sosa Rosario1900.34
Todd Ward2001.01
Zhang Rong2100.34