no code implementations • 16 Nov 2023 • Sagi Pendzel, Tomer Wullach, Amir Adler, Einat Minkov
In addition, we explore and compare the performance of the finetuned LLMs with zero-shot hate detection using a GPT-3. 5 model.
no code implementations • 28 Jun 2023 • Nir Lotan, Einat Minkov
In this work, we elicited the social embeddings of roughly 200K entities from a sample of 1. 3M Twitter users and the accounts that they follow.
1 code implementation • 24 May 2023 • Sagi Pendzel, Nir Lotan, Alon Zoizner, Einat Minkov
The rise of social media has been argued to intensify uncivil and hostile online political discourse.
1 code implementation • 11 Nov 2021 • Tomer Wullach, Amir Adler, Einat Minkov
Our results show that the proposed HyperNetworks achieve performance that is competitive, and better in some cases, than these pretrained language models, while being smaller by orders of magnitude.
1 code implementation • 5 Nov 2021 • Nir Lotan, Einat Minkov
We have learned social embeddings for roughly 200, 000 popular accounts from a sample of the Twitter network that includes more than 1. 3 million users and the accounts that they follow, and evaluate the resulting embeddings on two different tasks.
no code implementations • 2 Oct 2021 • Saeed Amal, Einat Minkov, Tsvi Kuflik
Hence, we can view any CV as a graph of interlinked entities, where nodes are entities and edges are relations between them.
no code implementations • Findings (EMNLP) 2021 • Tomer Wullach, Amir Adler, Einat Minkov
Automatic hate speech detection is hampered by the scarcity of labeled datasetd, leading to poor generalization.
no code implementations • 5 Apr 2021 • Avishai Zagoury, Einat Minkov, Idan Szpektor, William W. Cohen
Here we study using such LMs to fill in entities in human-authored comparative questions, like ``Which country is older, India or ______?''
1 code implementation • 13 May 2020 • Tomer Wullach, Amir Adler, Einat Minkov
Hate speech detection is a critical problem in social media platforms, being often accused for enabling the spread of hatred and igniting physical violence.