Phrase detectives: Utilizing collective intelligence for internet-scale language resource creation
Phrase detectives: Utilizing collective intelligence for internet-scale language resource creation
复制标题
短语侦探：利用集体智慧创建互联网规模的语言资源
DOI：
--
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
L. Ducceschi
中科院分区：
文献类型：
--
作者：
Massimo Poesio;Jon Chamberlain;Udo Kruschwitz;Livio Robaldo;L. Ducceschi
我们正在见证人类语言技术（HLT）的范式转变，这可能对该领域产生与统计革命相当的影响：通过利用集体智慧获得大规模资源。这种新方法的一个例子是短语侦探，一个互动的在线游戏，其目的是创建注释资源，利用具有不同专业知识水平的高度分布的贡献者群体。
本文的目的是首先概述短语侦探的各个方面，从游戏的设计和我们使用的HLT方法到我们迄今为止获得的结果。它还总结了我们在开发这个游戏，应该帮助其他研究人员设计和实现类似的游戏所吸取的教训。
We are witnessing a paradigm shift in Human Language Technology (HLT) that may well have an impact on the field comparable to the statistical revolution: acquiring large-scale resources by exploiting collective intelligence. An illustration of this new approach is Phrase Detectives, an interactive online game with a purpose for creating anaphorically annotated resources that makes use of a highly distributed population of contributors with different levels of expertise.
The purpose of this article is to first of all give an overview of all aspects of Phrase Detectives, from the design of the game and the HLT methods we used to the results we have obtained so far. It furthermore summarizes the lessons that we have learned in developing this game which should help other researchers to design and implement similar games.