Figure Retrieval from Collections of Research Articles
Figure Retrieval from Collections of Research Articles
复制标题
从研究文章集中检索图形
DOI：
--
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
ChengXiang Zhai
中科院分区：
文献类型：
--
作者：
Saar Kuzi;ChengXiang Zhai
本文介绍并研究了一种新的图形检索任务，该任务以研究论文的图形为检索单位，并根据查询的响应对图形进行排序。作为解决此任务的第一步，我们将重点放在文本查询上，并使用从文章中提取的文本表示图形。我们提出并研究了该任务的几种检索方法的有效性。我们通过使用ACL Anthology语料库中的研究文章并将图形标题视为查询来构建一个测试集合。虽然有一些限制，但使用这个数据集，我们能够获得一些有趣的初步结果，关于图形的不同表示和不同检索方法的相对有效性，这也揭示了一些关于图形检索中可能需要的信息类型和潜在挑战。
In this paper, we introduce and study a new task of figure retrieval in which the retrieval units are figures of research articles and the task is to rank figures with response to a query. As a first step toward addressing this task, we focus on textual queries and represent a figure using text extracted from its article. We suggest and study the effectiveness of several retrieval methods for the task. We build a test collection by using research articles from the ACL Anthology corpus and treating figure captions as queries. While having some limitations, using this data set we were able to obtain some interesting preliminary results on the relative effectiveness of different representations of a figure and different retrieval methods, which also shed some light regarding possible types of information need, and potential challenges in figure retrieval.