[HTML][HTML] Towards multidomain and multilingual abusive language detection: a survey
Abusive language is an important issue in online communication across different platforms
and languages. Having a robust model to detect abusive instances automatically is a …
and languages. Having a robust model to detect abusive instances automatically is a …
Misogyny detection in twitter: a multilingual and cross-domain study
The freedom of expression given by social media has a dark side: the growing proliferation
of abusive contents on these platforms. Misogynistic speech is a kind of abusive language …
of abusive contents on these platforms. Misogynistic speech is a kind of abusive language …
CONAN--COunter NArratives through Nichesourcing: a multilingual dataset of responses to fight online hate speech
Although there is an unprecedented effort to provide adequate responses in terms of laws
and policies to hate content on social media platforms, dealing with hatred online is still a …
and policies to hate content on social media platforms, dealing with hatred online is still a …
Demographic inference and representative population estimates from multilingual social media data
Social media provide access to behavioural data at an unprecedented scale and granularity.
However, using these data to understand phenomena in a broader population is difficult due …
However, using these data to understand phenomena in a broader population is difficult due …
Overview of the evalita 2018 task on automatic misogyny identification (ami)
Abstract Automatic Misogyny Identification (AMI) is a new shared task proposed for the first
time at the Evalita 2018 evaluation campaign. The AMI challenge, based on both Italian and …
time at the Evalita 2018 evaluation campaign. The AMI challenge, based on both Italian and …
Toward gender-inclusive coreference resolution
YT Cao, H Daumé III - arXiv preprint arXiv:1910.13913, 2019 - arxiv.org
Correctly resolving textual mentions of people fundamentally entails making inferences
about those people. Such inferences raise the risk of systemic biases in coreference …
about those people. Such inferences raise the risk of systemic biases in coreference …
Cross-domain and cross-lingual abusive language detection: A hybrid approach with deep learning and a multilingual lexicon
EW Pamungkas, V Patti - Proceedings of the 57th annual meeting …, 2019 - aclanthology.org
The development of computational methods to detect abusive language in social media
within variable and multilingual contexts has recently gained significant traction. The …
within variable and multilingual contexts has recently gained significant traction. The …
Machine learning methods for stylometry
J Savoy - Cham: Springer, 2020 - Springer
With the recent progress made in network and computing technology, the ubiquity of data,
and textual repositories freely available, the scientific practice evolves towards a more data …
and textual repositories freely available, the scientific practice evolves towards a more data …
Toward gender-inclusive coreference resolution: An analysis of gender and bias throughout the machine learning lifecycle
YT Cao, H Daumé III - Computational Linguistics, 2021 - aclanthology.org
Correctly resolving textual mentions of people fundamentally entails making inferences
about those people. Such inferences raise the risk of systematic biases in coreference …
about those people. Such inferences raise the risk of systematic biases in coreference …
Cross-lingual learning for text processing: A survey
Many intelligent systems in business, government or academy process natural language as
an input during inference or they might even communicate with users in natural language …
an input during inference or they might even communicate with users in natural language …