9 citations · 17 across the 5 of their papers we have counts for
5 papers
Zero-Shot Question Answering over Financial Documents using Large Language Models
Karmvir Singh Phogat, Chetan Harsha, Sridhar Dasaratha +2
We introduce a large language model (LLM) based approach to answer complex questions requiring multi-hop numerical reasoning over financial reports. While LLMs have exhibited remar…
Towards Grad-CAM Based Explainability in a Legal Text Processing Pipeline
Lukasz Gorski, Shashishekar Ramakrishna, Jedrzej M. Nowosielski
Explainable AI(XAI)is a domain focused on providing interpretability and explainability of a decision-making process. In the domain of law, in addition to system and data transpare…
The Role of Pragmatics in Legal Norm Representation
Shashishekar Ramakrishna, Lukasz Gorski, Adrian Paschke
Despite the 'apparent clarity' of a given legal provision, its application may result in an outcome that does not exactly conform to the semantic level of a statute. The vagueness…
Rule reasoning for legal norm validation of FSTP facts
Naouel Karam, Shashishekar Ramakrishna, Adrian Paschke
Non-obviousness or inventive step is a general requirement for patentability in most patent law systems. An invention should be at an adequate distance beyond its prior art in orde…
Bridging the gap between Legal Practitioners and Knowledge Engineers using semi-formal KR
Shashishekar Ramakrishna, Adrian Paschke
The use of Structured English as a computation independent knowledge representation format for non-technical users in business rules representation has been proposed in OMGs Semant…