4 papers · 1 filter
Causal Connections: Leveraging Multilingual Fine-Tuning for Financial QA@FinCausal 2026
Akash Kumar Gautam, Serhii Hamotskyi, Christian Hänig
This paper describes team HSA_CORAL's submission to the FinCausal 2026 shared task on extracting cause-effect relations from financial narratives via extractive question answering…
LLM-Based Examination of Eligibility Criteria from Securities Prospectuses at the German Central Bank
Serhii Hamotskyi, Akash Kumar Gautam, Christian Hänig
Verifying the eligibility of securities as collateral is a key responsibility of the German Central Bank. However, manually verifying these assets against legal and financial crite…
An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms
Gyanesh Anand, Akash Gautam, Puneet Mathur +3
Twitter is a social media platform where users express opinions over a variety of issues. Posts offering grievances or complaints can be utilized by private/ public organizations t…
#MeTooMA: Multi-Aspect Annotations of Tweets Related to the MeToo Movement
Akash Gautam, Puneet Mathur, Rakesh Gosangi +3
In this paper, we present a dataset containing 9,973 tweets related to the MeToo movement that were manually annotated for five different linguistic aspects: relevance, stance, hat…