no code implementations • RANLP 2021 • Marjan Hosseinia, Eduard Dragut, Dainis Boumber, Arjun Mukherjee
We use a deep bidirectional transformer to extract the Myers-Briggs personality type from user-generated data in a multi-label and multi-class classification setting.
no code implementations • 12 Mar 2021 • Yifan Zhang, Dainis Boumber, Marjan Hosseinia, Fan Yang, Arjun Mukherjee
It is also one of the first to use Deep Language Models in this setting.
no code implementations • 15 Dec 2020 • Yifan Zhang, Fan Yang, Marjan Hosseinia, Arjun Mukherjee
In this paper, we introduce a new framework called the sentiment-aspect attribution module (SAAM).
1 code implementation • WS 2020 • Marjan Hosseinia, Eduard Dragut, Arjun Mukherjee
We investigate whether pre-trained bidirectional transformers with sentiment and emotion information improve stance detection in long discussions of contemporary issues.
no code implementations • 17 Mar 2018 • Marjan Hosseinia, Arjun Mukherjee
We consider the authorship verification problem for both small and large scale datasets.
no code implementations • 9 Mar 2017 • Marjan Hosseinia, Arjun Mukherjee
This paper explores the problem of sockpuppet detection in deceptive opinion spam using authorship attribution and verification approaches.