1 code implementation • EMNLP 2021 • Anirudh Mittal, Pranav Jeevan P, Prerak Gandhi, Diptesh Kanojia, Pushpak Bhattacharyya
The normalized duration (laughter duration divided by the clip duration) of laughter in each clip is used to compute this humour coefficient score on a five-point scale (0-4).
no code implementations • 24 Sep 2023 • Abhinav Raghuvanshi, Siddhesh Pawar, Anirudh Mittal
How frequently do individuals thoroughly review terms and conditions before proceeding to register for a service, install software, or access a website?
no code implementations • 23 Aug 2023 • Anirudh Mittal, Timo Schick, Mikel Artetxe, Jane Dwivedi-Yu
Our proposed metric demonstrates an 18% enhancement over the prevailing state-of-the-art metric for faithfulness on our dataset.
1 code implementation • NAACL 2022 • Anirudh Mittal, Yufei Tian, Nanyun Peng
In this paper, we propose a simple yet effective way to generate pun sentences that does not require any training on existing puns.
no code implementations • 27 Nov 2021 • Siddhesh Pawar, Shyam Thombre, Anirudh Mittal, Girishkumar Ponkiya, Pushpak Bhattacharyya
In this paper, we propose a novel methodology for preposition sense disambiguation (PSD), which does not use any linguistic tools.
1 code implementation • 25 Oct 2021 • Anirudh Mittal, Pranav Jeevan, Prerak Gandhi, Diptesh Kanojia, Pushpak Bhattacharyya
We devise a novel scoring mechanism to annotate the training data with a humour quotient score using the audience's laughter.