no code implementations • dialdoc (ACL) 2022 • Srijan Bansal, Suraj Tripathi, Sumit Agarwal, Sireesh Gururaja, Aditya Srikanth Veerubhotla, Ritam Dutt, Teruko Mitamura, Eric Nyberg
In this paper, we present our submission to the DialDoc shared task based on the MultiDoc2Dial dataset.
no code implementations • 1 Dec 2023 • Sumit Agarwal, Aditya Srikanth Veerubhotla, Srijan Bansal
The increasing use of foundation models highlights the urgent need to address and eliminate implicit biases present in them that arise during pretraining.
no code implementations • 23 May 2023 • Srijan Bansal, Semih Yavuz, Bo Pang, Meghana Bhat, Yingbo Zhou
Question-answering (QA) tasks often investigate specific question types, knowledge domains, or reasoning skills, leading to specialized models catering to specific categories of QA tasks.
1 code implementation • 21 Jul 2021 • Srijan Bansal, Vishal Garimella, Ayush Suhane, Animesh Mukherjee
In this paper, we advance the current state-of-the-art method for debiasing monolingual word embeddings so as to generalize well in a multilingual setting.
no code implementations • ACL 2020 • Srijan Bansal, Vishal Garimella, Ayush Suhane, Jasabanta Patro, Animesh Mukherjee
In this paper we demonstrate how code-switching patterns can be utilised to improve various downstream NLP applications.
no code implementations • IJCNLP 2019 • Jasabanta Patro, Srijan Bansal, Animesh Mukherjee
In this paper we propose a deep learning framework for sarcasm target detection in predefined sarcastic texts.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1