Semantic Annotation of the ACL Anthology Corpus for the Automatic Analysis of Scientific Literature

被引：0

作者：

Gabor, Kata ^{[1
]}

Zargayouna, Haifa ^{[1
]}

Buscaldi, Davide ^{[1
]}

Tellier, Isabelle ^{[2
]}

Charnois, Thierry ^{[1
]}

机构：

[1] Univ Paris 13, Sorbonne Paris Cite, CNRS, LIPN,UMR 7030, Villetaneuse, France

[2] Univ Sorbonne Paris Cite, Univ Sorbonne Nouvelle Paris 3, PSL Res Univ, CNRS,ENS Paris,LaTTiCe,UMR 8094, Paris, France

来源：

LREC 2016 - TENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | 2016年

关键词：

semantic annotation; semantic relations; ACL Anthology;

D O I：

暂无

中图分类号：

H [语言、文字];

学科分类号：

05 ;

摘要：

This paper describes the process of creating a corpus annotated for concepts and semantic relations in the scientific domain. A part of the ACL Anthology Corpus was selected for annotation, but the annotation process itself is not specific to the computational linguistics domain and could be applied to any scientific corpus. Concepts were identified and annotated fully automatically, based on a combination of terminology extraction and available ontological resources. A typology of semantic relations between concepts is also proposed. This typology, consisting of 18 domain-specific and 3 generic relations, is the result of a corpus-based investigation of the text sequences occurring between concepts in sentences. A sample of 500 abstracts from the corpus is currently being manually annotated with these semantic relations. Only explicit relations are taken into account, so that the data could serve to train or evaluate pattern-based semantic relation classification systems.

引用

页码：3694 / 3701

页数：8

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