2 code implementations • 8 Nov 2021 • Wasu Piriyakulkij, Cristina Menghini, Ross Briden, Nihal V. Nayak, Jeffrey Zhu, Elaheh Raisi, Stephen H. Bach
Machine learning practitioners often have access to a spectrum of data: labeled data for the target task (which is often limited), unlabeled data, and auxiliary data, the many available labeled datasets for other tasks.
1 code implementation • EMNLP (ACL) 2021 • Hossein Rajaby Faghihi, Quan Guo, Andrzej Uszok, Aliakbar Nafar, Elaheh Raisi, Parisa Kordjamshidi
We demonstrate a library for the integration of domain knowledge in deep learning architectures.
no code implementations • 24 Jul 2020 • Michael Ridenhour, Arunkumar Bagavathi, Elaheh Raisi, Siddharth Krishnan
We also analyze a multilayer network, constructed from two types of user interactions in Gab(quote and reply) and interaction scores from the weak supervision model as edge weights, to predict hateful users.
no code implementations • 26 Oct 2016 • Hamid Abrishami Moghaddam, Elaheh Raisi
In this paper, a new online method based on nonparametric weighted feature extraction (NWFE) is proposed.
no code implementations • 26 Jun 2016 • Elaheh Raisi, Bert Huang
In this study, we propose a model that simultaneously discovers instigators and victims of bullying as well as new bullying vocabulary by starting with a corpus of social interactions and a seed dictionary of bullying indicators.