19 citations · 33 across the 11 of their papers we have counts for
13 papers
Transferring Knowledge via Neighborhood-Aware Optimal Transport for Low-Resource Hate Speech Detection
Tulika Bose, Irina Illina, Dominique Fohr
The concerning rise of hateful content on online platforms has increased the attention towards automatic hate speech detection, commonly formulated as a supervised classification t…
Domain Classification-based Source-specific Term Penalization for Domain Adaptation in Hate-speech Detection
Tulika Bose, Nikolaos Aletras, Irina Illina +1
State-of-the-art approaches for hate-speech detection usually exhibit poor performance in out-of-domain settings. This occurs, typically, due to classifiers overemphasizing source-…
Placing M-Phasis on the Plurality of Hate: A Feature-Based Corpus of Hate Online
Dana Ruiter, Liane Reiners, Ashwin Geet D'Sa +6
Even though hate speech (HS) online has been an important object of research in the last decade, most HS-related corpora over-simplify the phenomenon of hate by attempting to label…
Dynamically Refined Regularization for Improving Cross-corpora Hate Speech Detection
Tulika Bose, Nikolaos Aletras, Irina Illina +1
Hate speech classifiers exhibit substantial performance degradation when evaluated on datasets different from the source. This is due to learning spurious correlations between word…
Improving Automatic Hate Speech Detection with Multiword Expression Features
Nicolas Zampieri, Irina Illina, Dominique Fohr
The task of automatically detecting hate speech in social media is gaining more and more attention. Given the enormous volume of content posted daily, human monitoring of hate spee…
DNN-Based Semantic Model for Rescoring N-best Speech Recognition List
Dominique Fohr, Irina Illina
The word error rate (WER) of an automatic speech recognition (ASR) system increases when a mismatch occurs between the training and the testing conditions due to the noise, etc. In…