Citation Worthiness of Sentences in Scientific Reports

被引:9
|
作者
Bonab, Hamed [1 ]
Zamani, Hamed [1 ]
Learned-Miller, Erik [1 ]
Allan, James [1 ]
机构
[1] Univ Massachusetts, Coll Informat & Comp Sci, Amherst, MA 01003 USA
来源
基金
美国国家科学基金会;
关键词
D O I
10.1145/3209978.3210162
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Does this sentence need citation? In this paper, we introduce the task of citation worthiness for scientific texts at a sentence-level granularity. The task is to detect whether a sentence in a scientific article needs to be cited or not. It can be incorporated into citation recommendation systems to help automate the citation process by marking sentences where needed. It may also be useful for publishers to regularize the citation process. We construct a dataset using the ACL Anthology Reference Corpus; consisting of over 1.1M "not_cite" and 85K "cite" sentences. We study the performance of a set of state-of-the-art sentence classifiers for the citation worthiness task and show the practical challenges. We also explore sectionwise difficulty of the task and analyze the performance of our best model on a published article.
引用
收藏
页码:1061 / 1064
页数:4
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