A Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers

被引：24

作者：

Hamdi, Ahmed ^{[1
]}

Pontes, Elvys Linhares ^{[1
]}

Boros, Emanuela ^{[1
]}

Thi Tuyet Hai Nguyen ^{[1
]}

Hackl, Guenter ^{[2
]}

Moreno, Jose G. ^{[3
]}

Doucet, Antoine ^{[1
]}

机构：

[1] Univ La Rochelle, L3i, La Rochelle, France

[2] Innsbruck Univ Innovat GmbH, Innsbruck, Austria

[3] Univ Toulouse, IRIT, Toulouse, France

来源：

SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL | 2021年

关键词：

datasets; multilingual; diachronic historical newspapers; named entity recognition; entity linking; stance detection;

D O I：

10.1145/3404835.3463255

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Named entity processing over historical texts is more and more being used due to the massive documents and archives being stored in digital libraries. However, due to the poor annotated resources of historical nature, information extraction performances fall behind those on contemporary texts. In this paper, we introduce the development of the NewsEye resource, a multilingual dataset for named entity recognition and linking enriched with stances towards named entities. The dataset is comprised of diachronic historical newspaper material published between 1850 and 1950 in French, German, Finnish, and Swedish. Such historical resource is essential in the context of developing and evaluating named entity processing systems. It evenly allows enhancing the performances of existing approaches on historical documents which enables adequate and efficient semantic indexing of historical documents on digital cultural heritage collections.

引用

页码：2328 / 2334

页数：7

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