Shashishekar Ramakrishna

22 papers C 3Journal 8Unranked 10
YearRankTypeTitle / Venue / Authors
2026 — conf
Synthesizing question answering data from financial documents: An End-to-End Multi-Agent Approach.
EACL (Industry Track)
Chetan Harsha, Karmvir Singh Phogat, Sridhar Dasaratha, Shashishekar Ramakrishna
2025 J jnl
Right to Explanation in Large Language Models: Lessons from the European Union AI Act and General Data Protection Regulation.
IT Prof.
Lukasz Górski, Shashishekar Ramakrishna
2025 — conf
Synthetic Data Generation Using Large Language Models for Financial Question Answering.
COLING Workshops
Chetan Harsha, Karmvir Singh Phogat, Sridhar Dasaratha, Sai Akhil Puranam, Shashishekar Ramakrishna
2024 — conf
Fine-tuning Smaller Language Models for Question Answering over Financial Documents.
EMNLP (Findings)
Karmvir Singh Phogat, Sai Akhil Puranam, Sridhar Dasaratha, Chetan Harsha, Shashishekar Ramakrishna
2024 J jnl
Fine-tuning Smaller Language Models for Question Answering over Financial Documents.
CoRR
Karmvir Singh Phogat, Sai Akhil Puranam, Sridhar Dasaratha, Chetan Harsha, Shashishekar Ramakrishna
2023 C conf
Challenges in Adapting LLMs for Transparency: Complying with Art. 14 EU AI Act.
JURIX
Lukasz Górski, Shashishekar Ramakrishna
2023 J jnl
Zero-Shot Question Answering over Financial Documents using Large Language Models.
CoRR
Karmvir Singh Phogat, Chetan Harsha, Sridhar Dasaratha, Shashishekar Ramakrishna, Sai Akhil Puranam
2021 C conf
Explainable artificial intelligence, lawyer's perspective.
ICAIL
Lukasz Górski, Shashishekar Ramakrishna
2020 — conf
Towards Grad-CAM Based Explainability in a Legal Text Processing Pipeline.
XAILA@JURIX
Lukasz Górski, Shashishekar Ramakrishna, Jedrzej M. Nowosielski
2020 J jnl
Towards Grad-CAM Based Explainability in a Legal Text Processing Pipeline.
CoRR
Lukasz Górski, Shashishekar Ramakrishna, Jedrzej M. Nowosielski
2020 — conf
Towards Grad-CAM Based Explainability in a Legal Text Processing Pipeline. Extended Version.
AICOL
Lukasz Górski, Shashishekar Ramakrishna, Jedrzej M. Nowosielski
2017 — —
A Knowledge Representation Framework for Handling Elementary (Patent) Pragmatics (Ein Wissensrepräsentations-Framework für die Handhabung von elementaren (Patent-) Pragmatiken)
Shashishekar Ramakrishna
2017 — conf
KR4IPLaw Judgment Miner - Case-Law Mining for Legal Norm Annotation.
AICOL
Shashishekar Ramakrishna, Lukasz Górski, Adrian Paschke
2016 J jnl
A Dialogue between a Lawyer and Computer Scientist: The Evaluation of Knowledge Transformation from Legal Text to Computer-Readable Format.
Appl. Artif. Intell.
Shashishekar Ramakrishna, Lukasz Górski, Adrian Paschke
2015 J jnl
The Role of Pragmatics in Legal Norm Representation.
CoRR
Shashishekar Ramakrishna, Lukasz Górski, Adrian Paschke
2014 — conf
A Process for Knowledge Transformation and Knowledge Representation of Patent Law.
RuleML
Shashishekar Ramakrishna, Adrian Paschke
2014 J jnl
Bridging the gap between Legal Practitioners and Knowledge Engineers using semi-formal KR.
CoRR
Shashishekar Ramakrishna, Adrian Paschke
2014 J jnl
Rule reasoning for legal norm validation of FSTP facts.
CoRR
Naouel Karam, Shashishekar Ramakrishna, Adrian Paschke
2014 — conf
Semi-automated Vocabulary Building for Structured Legal English.
RuleML
Shashishekar Ramakrishna, Adrian Paschke
2013 — conf
First Approaches on Knowledge Representation of Elementary (Patent) Pragmatics.
RuleML (2)
Shashishekar Ramakrishna
2012 — conf
Cognitive System for Knowledge Representation of Elementary Pragmatics.
RuleML (2)
Shashishekar Ramakrishna
2012 C conf
The FSTP Test: a novel approach for an invention's non-obviousness analysis.
JURIX
Shashishekar Ramakrishna, Naouel Karam, Adrian Paschke