Named Entity Resources - Overview and Outlook

Maud Ehrmann, Damien Nouvel, Sophie Rosset


Abstract
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.
Anthology ID:
L16-1534
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
3349–3356
Language:
URL:
https://aclanthology.org/L16-1534
DOI:
Bibkey:
Cite (ACL):
Maud Ehrmann, Damien Nouvel, and Sophie Rosset. 2016. Named Entity Resources - Overview and Outlook. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 3349–3356, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
Named Entity Resources - Overview and Outlook (Ehrmann et al., LREC 2016)
Copy Citation:
PDF:
https://aclanthology.org/L16-1534.pdf