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Found 8 papers, 4 papers with code
Which Argumentative Aspects of Hate Speech in Social Media can be reliably identified?
We show that some components can be identified with reasonable reliability.
Parsimonious Argument Annotations for Hate Speech Counter-narratives
We present an enrichment of the Hateval corpus of hate speech tweets (Basile et.
A methodology to characterize bias and harmful stereotypes in natural language processing in Latin America
Our methodology is based on the following principles: * focus on the linguistic manifestations of discrimination on word embeddings and language models, not on the mathematical properties of the models * reduce the technical barrier for discrimination experts%, be it social scientists, domain experts or other * characterize through a qualitative exploratory process in addition to a metric-based approach * address mitigation as part of the training process, not as an afterthought
RoBERTuito: a pre-trained language model for social media text in Spanish
Experiments on a benchmark of tasks involving user-generated text showed that RoBERTuito outperformed other pre-trained language models in Spanish.
pysentimiento: A Python Toolkit for Opinion Mining and Social NLP tasks
In recent years, the extraction of opinions and information from user-generated text has attracted a lot of interest, largely due to the unprecedented volume of content in Social Media.
Legal NERC with ontologies, Wikipedia and curriculum learning
We find that this classifier works well in the Wikipedia, but, as could be expected, performance decreases in a corpus of judgments of the European Court of Human Rights.
