22 citations · 87 across the 15 of their papers we have counts for
15 papers
Advantages of Domain Knowledge Injection for Legal Document Summarization: A Case Study on Summarizing Indian Court Judgments in English and Hindi
Debtanu Datta, Rajdeep Mukherjee, Adrijit Goswami +1
Summarizing Indian legal court judgments is a complex task not only due to the intricate language and unstructured nature of the legal texts, but also since a large section of the…
Parameter-Efficient Instruction Tuning of Large Language Models For Extreme Financial Numeral Labelling
Subhendu Khatuya, Rajdeep Mukherjee, Akash Ghosh +5
We study the problem of automatically annotating relevant numerals (GAAP metrics) occurring in the financial documents with their corresponding XBRL tags. Different from prior work…
How COVID-19 has Impacted the Anti-Vaccine Discourse: A Large-Scale Twitter Study Spanning Pre-COVID and Post-COVID Era
Soham Poddar, Rajdeep Mukherjee, Subhendu Khatuya +2
The debate around vaccines has been going on for decades, but the COVID-19 pandemic showed how crucial it is to understand and mitigate anti-vaccine sentiments. While the pandemic…
MILDSum: A Novel Benchmark Dataset for Multilingual Summarization of Indian Legal Case Judgments
Debtanu Datta, Shubham Soni, Rajdeep Mukherjee +1
Automatic summarization of legal case judgments is a practically important problem that has attracted substantial research efforts in many countries. In the context of the Indian j…
CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet Extraction
Rajdeep Mukherjee, Nithish Kannen, Saurabh Kumar Pandey +1
Existing works on Aspect Sentiment Triplet Extraction (ASTE) explicitly focus on developing more efficient fine-tuning techniques for the task. Instead, our motivation is to come u…
ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcripts
Rajdeep Mukherjee, Abhinav Bohra, Akash Banerjee +8
Despite tremendous progress in automatic summarization, state-of-the-art methods are predominantly trained to excel in summarizing short newswire articles, or documents with strong…