DocTAG: A Customizable Annotation Tool for Ground Truth Creation

被引：2

作者：

Giachelle, Fabio ^{[1
]}

Irrera, Ornella ^{[1
]}

Silvello, Gianmaria ^{[1
]}

机构：

[1] Univ Padua, Dept Informat Engn, Padua, Italy

来源：

ADVANCES IN INFORMATION RETRIEVAL, PT II | 2022年 / 13186卷

基金：

欧盟地平线“2020”;

关键词：

Annotation tool; Passage annotation; Evaluation; Ground-truth creation;

D O I：

10.1007/978-3-030-99739-7_35

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Information Retrieval (IR) is a discipline deeply rooted on evaluation that in many cases relies on annotated data as ground truth. Manual annotation is a demanding and time-consuming task, involving human intervention for topic-document assessment. To ease and possibly speed up the work of the assessors, it is desirable to have easy-to-use, collaborative and flexible annotation tools. Despite their importance, in the IR domain no open-source fully customizable annotation tool has been proposed for topic-document annotation and assessment, so far. In this demo paper, we present DocTAG, a portable and customizable annotation tool for ground-truth creation in a web-based collaborative setting.

引用

页码：288 / 293

页数：6

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