no code implementations • 18 Apr 2022 • Sharath Srivatsa, Tushar Mohan, Kumari Neha, Nishchay Malakar, Ponnurangam Kumaraguru, Srinath Srinivasa
In this work, we approach the problem of characterizing Named Entities and Tweets as an open-ended text classification and open-ended fact probing problem. We evaluate the zero-shot language model capabilities of Generative Pretrained Transformer 2 (GPT-2) to characterize Entities and Tweets subjectively with human psychology-inspired and logical conditional prefixes and contexts.
no code implementations • 22 Sep 2019 • Kumari Neha, Shashank Srikanth, Sonali Singhal, Shwetanshu Singh, Arun Balaji Buduru, Ponnurangam Kumaraguru
Users on Twitter are identified with the help of their profile attributes that consists of username, display name, profile image, to name a few.