no code implementations • SemEval (NAACL) 2022 • Pratyush Sarangi, Shamika Ganesan, Piyush Arora, Salil Joshi
We describe the work carried out by AMEX AI Labs on the structured sentiment analysis task at SemEval-2022.
no code implementations • FNP (COLING) 2020 • Piyush Arora, Priya Radhakrishnan
We describe the work carried out by AMEX AI-LABS on an extractive summarization benchmark task focused on Financial Narratives Summarization (FNS).
no code implementations • 13 Dec 2023 • Piyush Arora, Pratik Mazumder
In this paper, we focus on a more practical setting with no prior information about the bias.
no code implementations • 24 Nov 2023 • Usneek Singh, Piyush Arora, Shamika Ganesan, Mohit Kumar, Siddhant Kulkarni, Salil R. Joshi
We perform a comparative analysis of transformer-based models designed for modeling tabular data, specifically on an industry-scale dataset.
no code implementations • LREC 2020 • Piyush Arora, Dimitar Shterionov, Yasufumi Moriya, Abhishek Kaushik, Daria Dzendzik, Gareth Jones
In this paper we devote special attention to the automatic translation (AT) component which is crucial for the overall quality of the MMCLIR system.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +6
no code implementations • LREC 2012 • Akshat Bakliwal, Piyush Arora, Vasudeva Varma
With recent developments in web technologies, percentage web content in Hindi is growing up at a lighting speed.