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<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>Hate speech paraphraser</dc:title><dc:creator>Pesjak,	Drejc	(Avtor)
	</dc:creator><dc:creator>Bosnić,	Zoran	(Mentor)
	</dc:creator><dc:creator>Robnik Šikonja,	Marko	(Komentor)
	</dc:creator><dc:subject>hate speech</dc:subject><dc:subject>natural language processing</dc:subject><dc:subject>transformers</dc:subject><dc:subject>BERT models</dc:subject><dc:subject>machine learning</dc:subject><dc:subject>paraphrasing</dc:subject><dc:description>There is plenty of hate speech on the web, which is additionally enabled by the possibility to remain anonymous, and many forums as well as news websites are trying to fight against it with a large number of moderators that remove hateful comments. Due to large numbers of daily comments they use automated hate speech detection software. We propose a DPhate system, which outputs an unhateful alternative to the posted hateful comment. The system uses a series of pre-trained paraphrasing models, that generate nonhateful sentences. The automatic evaluation has shown that in 84.37% of cases at least one acceptable sentence is generated, whereas only 67.90% of rephrasals were deemed acceptable by human evaluators.</dc:description><dc:date>2022</dc:date><dc:date>2022-03-21 11:25:00</dc:date><dc:type>Diplomsko delo/naloga</dc:type><dc:identifier>135582</dc:identifier><dc:identifier>VisID: 30961</dc:identifier><dc:identifier>COBISS_ID: 102617091</dc:identifier><dc:language>sl</dc:language></metadata>
