Yaakov HaCohen-Kerner, Moshe Uzan. Detecting Offensive Language in English Hindi and Marathi using Classical Supervised Machine Learning Methods and Word/Char N-grams. In Parth Mehta 0001, Thomas Mandl 0001, Prasenjit Majumder, Mandar Mitra, editors, Working Notes of FIRE 2021 - Forum for Information Retrieval Evaluation, Gandhinagar, India, December 13-17, 2021. Volume 3159 of CEUR Workshop Proceedings, pages 501-507, CEUR-WS.org, 2021. [doi]
@inproceedings{HaCohen-KernerU21,
title = {Detecting Offensive Language in English Hindi and Marathi using Classical Supervised Machine Learning Methods and Word/Char N-grams},
author = {Yaakov HaCohen-Kerner and Moshe Uzan},
year = {2021},
url = {http://ceur-ws.org/Vol-3159/T1-49.pdf},
researchr = {https://researchr.org/publication/HaCohen-KernerU21},
cites = {0},
citedby = {0},
pages = {501-507},
booktitle = {Working Notes of FIRE 2021 - Forum for Information Retrieval Evaluation, Gandhinagar, India, December 13-17, 2021},
editor = {Parth Mehta 0001 and Thomas Mandl 0001 and Prasenjit Majumder and Mandar Mitra},
volume = {3159},
series = {CEUR Workshop Proceedings},
publisher = {CEUR-WS.org},
}