no code implementations • 23 Sep 2022 • Rishabh Misra
People rely on news to know what is happening around the world and inform their daily lives.
1 code implementation • 17 Sep 2022 • Rishabh Misra
Past studies in Sarcasm Detection mostly make use of Twitter datasets collected using hashtag-based supervision but such datasets are noisy in terms of labels and language.
no code implementations • 17 Sep 2022 • Rishabh Misra
User-generated reviews are often our first point of contact when we consider watching a movie or a TV show.
1 code implementation • 4 Dec 2019 • Mengting Wan, Jianmo Ni, Rishabh Misra, Julian McAuley
However, these interactions can be biased by how the product is marketed, for example due to the selection of a particular human model in a product image.
3 code implementations • 20 Aug 2019 • Rishabh Misra, Prahal Arora
Sarcasm Detection has enjoyed great interest from the research community, however the task of predicting sarcasm in a text remains an elusive problem for machines.
no code implementations • 20 Aug 2019 • Aditi A. Mavalankar, Ajitesh Gupta, Chetan Gandotra, Rishabh Misra
One of the first things to do while planning a trip is to book a good place to stay.
no code implementations • ACL 2019 • Mengting Wan, Rishabh Misra, Ndapa Nakashole, Julian McAuley
This paper presents computational approaches for automatically detecting critical plot twists in reviews of media products.