no code implementations • FNP (LREC) 2022 • Manish Pant, Ankush Chopra
An mT5 model was fine-tuned to identify potential narrative sections for Greek and Spanish, followed by finetuning mT5 and T5(Spanish version) for abstractive summarization task.
1 code implementation • 20 Mar 2023 • Sohom Ghosh, Ankush Chopra, Sudip Kumar Naskar
Every industry has terms that are specific to the domain it operates in.
no code implementations • 26 Dec 2021 • Ankush Chopra, Mahima Arora, Shubham Pandey
Compared with the existing process, the ensemble of text and image models proposed in this paper ensures the identification of several types of delivery issues, which is more suitable for the real-life scenarios of delivery of items in retail businesses.
no code implementations • 18 Oct 2021 • Ankit Patil, Ankush Chopra, Sohom Ghosh, Vamshi Vadla
In this era of abundant digital information, customer satisfaction has become one of the prominent factors in the success of any business.
no code implementations • FNP 2021 • Ankush Chopra, Prateek Nagwanshi, Sohom Ghosh
Typically, customers try to get their questions answered by low-touch channels like search and virtual assistant first, before getting in touch with a live chat agent or the phone representative.
1 code implementation • FinNLP 2021 • Ankush Chopra, Sohom Ghosh
We observed that term expansion using data augmentation in conjunction with semantic similarity is beneficial for this task and could be useful for the other tasks that deal with short phrases.
2 code implementations • 19 Feb 2021 • Sohom Ghosh, Ankush Chopra
The first one is a RoBERTa [10] based model built over these abstracts.
no code implementations • 7 Jan 2021 • Ankush Chopra, Shruti Agrawal, Sohom Ghosh
We have used it for the financial domain, but the framework is generalized for any domain-specific search engine and can be used in other domains as well.