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20202026
most citedCharacter-level HyperNetworks for Hate Speech Detection

16 citations · 20 across the 9 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.SI2021

SocialVec: Social Entity Embeddings

Nir Lotan, Einat Minkov

This paper introduces SocialVec, a general framework for eliciting social world knowledge from social networks, and applies this framework to Twitter. SocialVec learns low-dimensio…

cs.CL2021★ 16 cited

Character-level HyperNetworks for Hate Speech Detection

Tomer Wullach, Amir Adler, Einat Minkov

The massive spread of hate speech, hateful content targeted at specific subpopulations, is a problem of critical social importance. Automated methods of hate speech detection typic…

cs.IR2021

Person Entity Profiling Framework: Identifying, Integrating and Visualizing Online Freely Available Entity-Related Information

Saeed Amal, Einat Minkov, Tsvi Kuflik

When we consider our CV, it is full of entities that we are or were associated with and that define us in some way(s). Such entities include where we studied, where we worked, who…

cs.CL2021

Fight Fire with Fire: Fine-tuning Hate Detectors using Large Samples of Generated Hate Speech

Tomer Wullach, Amir Adler, Einat Minkov

Automatic hate speech detection is hampered by the scarcity of labeled datasetd, leading to poor generalization. We employ pretrained language models (LMs) to alleviate this data b…

cs.CL2021

What's the best place for an AI conference, Vancouver or ______: Why completing comparative questions is difficult

Avishai Zagoury, Einat Minkov, Idan Szpektor +1

Although large neural language models (LMs) like BERT can be finetuned to yield state-of-the-art results on many NLP tasks, it is often unclear what these models actually learn. He…