@inproceedings{00c0f54ef86f4df1822812365b8b0432,
title = "Combining Non-Expert and Expert Crowd Work to ConvertWeb APIs to Dialog Systems",
abstract = "Thousands of web APIs expose data and services that would be useful to access with natural dialog, from weather and sports to Twitter and movies. The process of adapting each API to a robust dialog system is difficult and time-consuming, as it requires not only programming but also anticipating what is mostly likely to be asked and how it is likely to be asked. We present a crowd-powered system able to generate a natural language interface for arbitrary web APIs from scratch without domain-dependent training data or knowledge. Our approach combines two types of crowd workers: non-expert Mechanical Turk workers interpret the functions of the API and elicit information from the user, and expert oDesk workers provide a minimal sufficient scaffolding around the API to allow us to make general queries. We describe our multi-stage process and present results for each stage.",
author = "Huang, {Ting Hao K.} and Lasecki, {Walter S.} and Ritter, {Alan L.} and Bigham, {Jeffrey P.}",
note = "Publisher Copyright: {\textcopyright} HCOMP 2014. All rights reserved.; 2nd AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2014 ; Conference date: 02-11-2014 Through 04-11-2014",
year = "2014",
month = nov,
day = "5",
language = "English (US)",
series = "Proceedings of the 2nd AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2014",
publisher = "AAAI press",
pages = "22--23",
editor = "Bigham, {Jeffrey P.} and David Parkes",
booktitle = "Proceedings of the 2nd AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2014",
}