no code implementations • COLING 2020 • Vijayasaradhi Indurthi, Bakhtiyar Syed, Manish Gupta, Vasudeva Varma
It is not only essential to identify a click-bait, but also to identify the intensity of the clickbait based on the strength of the clickbait.
no code implementations • 22 Sep 2019 • Bakhtiyar Syed, Gaurav Verma, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Vasudeva Varma
Given the recent progress in language modeling using Transformer-based neural models and an active interest in generating stylized text, we present an approach to leverage the generalization capabilities of a language model to rewrite an input text in a target author's style.
no code implementations • SEMEVAL 2019 • Bakhtiyar Syed, Vijayasaradhi Indurthi, Manish Shrivastava, Manish Gupta, Vasudeva Varma
This information is highly useful in segregating factual questions from non-factual ones which highly helps in organizing the questions into useful categories and trims down the problem space for the next task in the pipeline for fact evaluation among the available answers.
no code implementations • SEMEVAL 2019 • Nikhil Chakravartula, Vijayasaradhi Indurthi, Bakhtiyar Syed
This paper describes our system (Fermi) for Task 4: Hyper-partisan News detection of SemEval-2019.
no code implementations • SEMEVAL 2019 • Vijayasaradhi Indurthi, Bakhtiyar Syed, Manish Shrivastava, Manish Gupta, Vasudeva Varma
This paper describes our system (Fermi) for Task 6: OffensEval: Identifying and Categorizing Offensive Language in Social Media of SemEval-2019.
no code implementations • SEMEVAL 2019 • Vijayasaradhi Indurthi, Bakhtiyar Syed, Manish Shrivastava, Nikhil Chakravartula, Manish Gupta, Vasudeva Varma
This paper describes our system (Fermi) for Task 5 of SemEval-2019: HatEval: Multilingual Detection of Hate Speech Against Immigrants and Women on Twitter.
no code implementations • EMNLP 2018 • Raghuram Vadapalli, Bakhtiyar Syed, Nishant Prabhu, Balaji Vasan Srinivasan, Vasudeva Varma
We present an online interactive tool that generates titles of blog titles and thus take the first step toward automating science journalism.