ANETAC: Arabic Named Entity Transliteration and Classification Dataset
Computation and Language
2019-07-09 v1 Information Retrieval
Abstract
In this paper, we make freely accessible ANETAC our English-Arabic named entity transliteration and classification dataset that we built from freely available parallel translation corpora. The dataset contains 79,924 instances, each instance is a triplet (e, a, c), where e is the English named entity, a is its Arabic transliteration and c is its class that can be either a Person, a Location, or an Organization. The ANETAC dataset is mainly aimed for the researchers that are working on Arabic named entity transliteration, but it can also be used for named entity classification purposes.
Keywords
Cite
@article{arxiv.1907.03110,
title = {ANETAC: Arabic Named Entity Transliteration and Classification Dataset},
author = {Mohamed Seghir Hadj Ameur and Farid Meziane and Ahmed Guessoum},
journal= {arXiv preprint arXiv:1907.03110},
year = {2019}
}