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Shashishekar Ramakrishna
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2020 – today
- 2024
- [c11]Karmvir Singh Phogat, Sai Akhil Puranam, Sridhar Dasaratha, Chetan Harsha, Shashishekar Ramakrishna:
Fine-tuning Smaller Language Models for Question Answering over Financial Documents. EMNLP (Findings) 2024: 10528-10548 - [i6]Karmvir Singh Phogat, Sai Akhil Puranam, Sridhar Dasaratha, Chetan Harsha, Shashishekar Ramakrishna:
Fine-tuning Smaller Language Models for Question Answering over Financial Documents. CoRR abs/2408.12337 (2024) - 2023
- [c10]Lukasz Górski, Shashishekar Ramakrishna:
Challenges in Adapting LLMs for Transparency: Complying with Art. 14 EU AI Act. JURIX 2023: 275-280 - [i5]Karmvir Singh Phogat, Chetan Harsha, Sridhar Dasaratha, Shashishekar Ramakrishna, Sai Akhil Puranam:
Zero-Shot Question Answering over Financial Documents using Large Language Models. CoRR abs/2311.14722 (2023) - 2021
- [c9]Lukasz Górski, Shashishekar Ramakrishna:
Explainable artificial intelligence, lawyer's perspective. ICAIL 2021: 60-68 - 2020
- [c8]Lukasz Górski, Shashishekar Ramakrishna, Jedrzej M. Nowosielski:
Towards Grad-CAM Based Explainability in a Legal Text Processing Pipeline. Extended Version. AICOL 2020: 154-168 - [c7]Lukasz Górski, Shashishekar Ramakrishna, Jedrzej M. Nowosielski:
Towards Grad-CAM Based Explainability in a Legal Text Processing Pipeline. XAILA@JURIX 2020 - [i4]Lukasz Górski, Shashishekar Ramakrishna, Jedrzej M. Nowosielski:
Towards Grad-CAM Based Explainability in a Legal Text Processing Pipeline. CoRR abs/2012.09603 (2020)
2010 – 2019
- 2017
- [b1]Shashishekar Ramakrishna:
A Knowledge Representation Framework for Handling Elementary (Patent) Pragmatics (Ein Wissensrepräsentations-Framework für die Handhabung von elementaren (Patent-) Pragmatiken). FU Berlin, Germany, 2017 - [c6]Shashishekar Ramakrishna, Lukasz Górski, Adrian Paschke:
KR4IPLaw Judgment Miner - Case-Law Mining for Legal Norm Annotation. AICOL 2017: 325-336 - 2016
- [j1]Shashishekar Ramakrishna, Lukasz Górski, Adrian Paschke:
A Dialogue between a Lawyer and Computer Scientist: The Evaluation of Knowledge Transformation from Legal Text to Computer-Readable Format. Appl. Artif. Intell. 30(3): 216-232 (2016) - 2015
- [i3]Shashishekar Ramakrishna, Lukasz Górski, Adrian Paschke:
The Role of Pragmatics in Legal Norm Representation. CoRR abs/1507.02086 (2015) - 2014
- [c5]Shashishekar Ramakrishna, Adrian Paschke:
Semi-automated Vocabulary Building for Structured Legal English. RuleML 2014: 201-215 - [c4]Shashishekar Ramakrishna, Adrian Paschke:
A Process for Knowledge Transformation and Knowledge Representation of Patent Law. RuleML 2014: 311-328 - [i2]Shashishekar Ramakrishna, Adrian Paschke:
Bridging the gap between Legal Practitioners and Knowledge Engineers using semi-formal KR. CoRR abs/1406.0079 (2014) - [i1]Naouel Karam, Shashishekar Ramakrishna, Adrian Paschke:
Rule reasoning for legal norm validation of FSTP facts. CoRR abs/1412.3137 (2014) - 2013
- [c3]Shashishekar Ramakrishna:
First Approaches on Knowledge Representation of Elementary (Patent) Pragmatics. RuleML (2) 2013 - 2012
- [c2]Shashishekar Ramakrishna, Naouel Karam, Adrian Paschke:
The FSTP Test: a novel approach for an invention's non-obviousness analysis. JURIX 2012: 129-132 - [c1]Shashishekar Ramakrishna:
Cognitive System for Knowledge Representation of Elementary Pragmatics. RuleML (2) 2012
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