LegalNERo: A linked corpus for named entity recognition in the Romanian legal domain

IF 3 3区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Semantic Web Pub Date : 2023-06-05 DOI:10.3233/sw-233351

Vasile Păis,, Maria Mitrofan, Carol Luca Gasan, Alexandru Ianov, Corvin Ghit,ă, Vlad Silviu Coneschi, Andrei Onut,

引用次数: 0

Abstract

LegalNERo is a manually annotated corpus for named entity recognition in the Romanian legal domain. It provides gold annotations for organizations, locations, persons, time expressions and legal resources mentioned in legal documents. Furthermore, GeoNames identifiers are provided. The resource is available in multiple formats, including span-based, token-based and RDF. The Linked Open Data version is available for both download and querying using SPARQL.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

LegalNERo:一个链接语料库，用于罗马尼亚法律领域的命名实体识别

LegalNERo是一个手动注释的语料库，用于罗马尼亚法律领域的命名实体识别。为法律文件中提及的组织、地点、人物、时间表述、法律资源等提供黄金标注。此外，还提供了GeoNames标识符。该资源有多种格式，包括基于跨段的、基于令牌的和RDF。链接开放数据版本可以下载，也可以使用SPARQL进行查询。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Semantic Web COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INFORMATION SYSTEMS

CiteScore

8.30

自引率

6.70%

发文量

期刊介绍： The journal Semantic Web – Interoperability, Usability, Applicability brings together researchers from various fields which share the vision and need for more effective and meaningful ways to share information across agents and services on the future internet and elsewhere. As such, Semantic Web technologies shall support the seamless integration of data, on-the-fly composition and interoperation of Web services, as well as more intuitive search engines. The semantics – or meaning – of information, however, cannot be defined without a context, which makes personalization, trust, and provenance core topics for Semantic Web research. New retrieval paradigms, user interfaces, and visualization techniques have to unleash the power of the Semantic Web and at the same time hide its complexity from the user. Based on this vision, the journal welcomes contributions ranging from theoretical and foundational research over methods and tools to descriptions of concrete ontologies and applications in all areas. We especially welcome papers which add a social, spatial, and temporal dimension to Semantic Web research, as well as application-oriented papers making use of formal semantics.

期刊最新文献

Wikidata subsetting: Approaches, tools, and evaluation An ontology of 3D environment where a simulated manipulation task takes place (ENVON) Sem@ K: Is my knowledge graph embedding model semantic-aware? Using semantic story maps to describe a territory beyond its map NeuSyRE: Neuro-symbolic visual understanding and reasoning framework based on scene graph enrichment