Named Entity Resources - Overview and Outlook

Maud Ehrmann (1) , Damien Nouvel (2) , Sophie Rosset (3)

1 Digital Humanities Laboratory
2 ERTIM - Équipe de Recherche en Textes, Informatique, Multilinguisme
3 LIMSI - Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur

Recognition of real-world entities is crucial for most NLP applications. Since its introduction some twenty years ago, named entity processing has undergone a significant evolution with, among others, the definition of new tasks (e.g. entity linking) and the emergence of new types of data (e.g. speech transcriptions, micro-blogging). These pose certainly new challenges which affect not only methods and algorithms but especially linguistic resources. Where do we stand with respect to named entity resources? This paper aims at providing a systematic overview of named entity resources, accounting for qualities such as multilingualism, dynamicity and interoperability, and to identify shortfalls in order to guide future developments.

Mots clés: named entity; linguistic resources; NE typologies; annotated corpora; evaluation; linked data

Domaines: Informatique et langage [cs.CL]

Maud Ehrmann, Damien Nouvel, Sophie Rosset. Named Entity Resources - Overview and Outlook. Language Resources and Evaluation, 2016, Portorož, Slovenia. ⟨hal-01359441⟩