@inproceedings{034d7c0831af4afabb71fd9dc94f27bf,
title = "AELA: An adaptive entity linking approach",
abstract = "The number of available Linked Data datasets has been in- creasing over time. Despite this, their use to recognise enti- ties in unstructured plain text (Entity Linking task) is still limited to a small number of datasets. In this paper we propose a framework adaptable to the structure of generic Linked Data datasets. This adaptability allows a broader use of Linked Data datasets for the Entity Linking task.",
keywords = "Entity linking, Linked data, Named entity",
author = "Bianca Pereira and Nitish Aggarwal and Paul Buitelaar",
year = "2013",
language = "English",
isbn = "9781450320382",
series = "WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web",
publisher = "Association for Computing Machinery",
pages = "87--88",
booktitle = "WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web",
note = "WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web ; Conference date: 13-05-2013 Through 17-05-2013",
}