CommandSpace: modeling the relationships between tasks, descriptions and features

Eytan Adar, Mira Dontcheva, Gierad Laput
{"title":"CommandSpace: modeling the relationships between tasks, descriptions and features","authors":"Eytan Adar, Mira Dontcheva, Gierad Laput","doi":"10.1145/2642918.2647395","DOIUrl":null,"url":null,"abstract":"Users often describe what they want to accomplish with an application in a language that is very different from the application's domain language. To address this gap between system and human language, we propose modeling an application's domain language by mining a large corpus of Web documents about the application using deep learning techniques. A high dimensional vector space representation can model the relationships between user tasks, system commands, and natural language descriptions and supports mapping operations, such as identifying likely system commands given natural language queries and identifying user tasks given a trace of user operations. We demonstrate the feasibility of this approach with a system, CommandSpace, for the popular photo editing application Adobe Photoshop. We build and evaluate several applications enabled by our model showing the power and flexibility of this approach.","PeriodicalId":20543,"journal":{"name":"Proceedings of the 27th annual ACM symposium on User interface software and technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"38","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 27th annual ACM symposium on User interface software and technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2642918.2647395","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 38

Abstract

Users often describe what they want to accomplish with an application in a language that is very different from the application's domain language. To address this gap between system and human language, we propose modeling an application's domain language by mining a large corpus of Web documents about the application using deep learning techniques. A high dimensional vector space representation can model the relationships between user tasks, system commands, and natural language descriptions and supports mapping operations, such as identifying likely system commands given natural language queries and identifying user tasks given a trace of user operations. We demonstrate the feasibility of this approach with a system, CommandSpace, for the popular photo editing application Adobe Photoshop. We build and evaluate several applications enabled by our model showing the power and flexibility of this approach.
CommandSpace:对任务、描述和特性之间的关系进行建模
用户经常用与应用程序领域语言非常不同的语言来描述他们想要用应用程序完成的任务。为了解决系统语言和人类语言之间的差距,我们建议使用深度学习技术挖掘关于应用程序的大量Web文档语料库,从而对应用程序的领域语言进行建模。高维向量空间表示可以对用户任务、系统命令和自然语言描述之间的关系进行建模,并支持映射操作,例如在给定自然语言查询的情况下识别可能的系统命令,以及在给定用户操作跟踪的情况下识别用户任务。我们用一个系统CommandSpace演示了这种方法的可行性,该系统用于流行的照片编辑应用程序Adobe Photoshop。我们构建并评估了模型支持的几个应用程序,展示了这种方法的强大功能和灵活性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信