An Information Retrieval Experiment Framework for Domain Specific Applications

被引：4
|
作者：
Scells, Harrisen [1 ]
Locke, Daniel [1 ]
Zuccon, Guido [1 ]
机构：
[1] Queensland Univ Technol, Brisbane, Qld, Australia
来源：
ACM/SIGIR PROCEEDINGS 2018 | 2018年
关键词：
D O I：
10.1145/3209978.3210167
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We present a framework for constructing and executing information retrieval experiment pipelines. The framework as a whole is built primarily for domain specific applications such as medical literature search for systematic reviews, or finding factually or legally applicable case law in the legal domain; however it can also be used for more general tasks. There are a number of pre-implemented components that enable common information retrieval experiments such as ad-hoc retrieval or query analysis through query performance predictors. In addition, this collection of tools seeks to be user friendly, well documented, and easily extendible. Finally, the entire pipeline can be distributed as a single binary with no dependencies, ready to use with a simple domain specific language (DSL) for constructing pipelines.
引用
收藏
页码：1281 / 1284
页数：4
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