Naslov
Cross-Domain Detection of Abusive Language Online

Autori
Karan, Mladen ; Šnajder, Jan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 2nd Workshop on Abusive Language Online (ALW2) / - : Association for Computational Linguistics (ACL), 2018, 132-137

Skup
Association for Computational Linguistics, Second Workshop on Abusive Language Online (ALW2)

Mjesto i datum
Bruxelles, Belgija, 31.10.2018. - 04.11.2018

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
domain adaptation, abusive language

Sažetak
We investigate to what extent the models trained to detect general abusive language generalize between different datasets labeled with different abusive language types. To this end, we compare the cross-domain performance of simple classification models on nine different datasets, finding that the models fail to generalize to out-domain datasets and that having at least some in-domain data is important. We also show that using the frustratingly simple domain adaptation (Daume III, 2007) in most cases improves the results over indomain training, especially when used to augment a smaller dataset with a larger one.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA