Personal Information
Organization / Workplace
Pune Area, India India
Occupation
Senior Scientist (Researcher R&D) at Tata Consultancy Services
Industry
Technology / Software / Internet
About
Dr. Sagar Sunkle is a senior scientist at Tata Research Development and Design Centre, a premier innovation centre of Tata Consultancy Services. His current research interest is using natural language processing and machine learning techniques for information extraction. His recent work has been on scalable extraction of information from highly noisy data in banking and financial services and related domains. He is also working on legal text comprehension for a more rigorous formal compliance checking in industry setting.
His previous work involved using model-driven techniques to help enterprises in decision making, particularly enabling enterprises for regulatory compliance.
He has be...
Tags
enterprise architecture
enterprise modeling
regulatory compliance
intentional modeling
system dynamics modeling
regulations
sbvr
simulation
compliance
model-driven engineering
proof of compliance
natural language explanation
governance
change management
risk
semantic dissimilarity
vocabulary
semantics
design science
organizational hierarchy
course of action
strategy making
goal modeling
what-if analysis
enterprise directives
enterprise context
decision making
analysis
ontology modeling
problem solving
it plant
See more
Presentations
(12)Documents
(1)Likes
(21)Enterprise information extraction: recent developments and open challenges
Yunyao Li
•
10 years ago
Knowledge-driven Implicit Information Extraction
Artificial Intelligence Institute at UofSC
•
7 years ago
WDC Service Summaries - Jan 2015
Charles Quincy
•
9 years ago
NIPS2007: structured prediction
zukun
•
12 years ago
Томми Яаккола «Масштабирование структурных предсказаний»
Yandex
•
11 years ago
Lecture 5: Structured Prediction
Marina Santini
•
10 years ago
Diving into Machine Learning with Rob Craft, Group Product Manager at Google!
TheFamily
•
7 years ago
Machine creativity TED Talk 2.0
Cameron Aaron
•
7 years ago
Alphago Tech talk
Javier Magana
•
8 years ago
From Lookup to Learning: Search as a Long-term Activity – ECIR 2011
Tyler Tate
•
13 years ago
Machine Learning for Search at LinkedIn
Viet Ha-Thuc
•
7 years ago
Learning to Generate Pseudo-code from Source Code using Statistical Machine Translation
Yusuke Oda
•
8 years ago
Dependency Parsing
Jinho Choi
•
14 years ago
10 Reasons Why Successful Leaders Are Keeping a Journal
Louis-Xavier Lavallée
•
8 years ago
From Semantic Parsing to Reasoning
diannepatricia
•
8 years ago
Concept net150529
KangSe Lee
•
8 years ago
Advanced Hadoop Tuning and Optimization - Hadoop Consulting
Impetus Technologies
•
14 years ago
Probabilistic Ontology: Representation and Modeling Methodology
Rommel Carvalho
•
12 years ago
What Is A Business Model
Alexander Osterwalder
•
14 years ago
Lift11 Presentation
Alexander Osterwalder
•
13 years ago
Describe and Improve your Business Model
Alexander Osterwalder
•
16 years ago
Personal Information
Organization / Workplace
Pune Area, India India
Occupation
Senior Scientist (Researcher R&D) at Tata Consultancy Services
Industry
Technology / Software / Internet
About
Dr. Sagar Sunkle is a senior scientist at Tata Research Development and Design Centre, a premier innovation centre of Tata Consultancy Services. His current research interest is using natural language processing and machine learning techniques for information extraction. His recent work has been on scalable extraction of information from highly noisy data in banking and financial services and related domains. He is also working on legal text comprehension for a more rigorous formal compliance checking in industry setting.
His previous work involved using model-driven techniques to help enterprises in decision making, particularly enabling enterprises for regulatory compliance.
He has be...
Tags
enterprise architecture
enterprise modeling
regulatory compliance
intentional modeling
system dynamics modeling
regulations
sbvr
simulation
compliance
model-driven engineering
proof of compliance
natural language explanation
governance
change management
risk
semantic dissimilarity
vocabulary
semantics
design science
organizational hierarchy
course of action
strategy making
goal modeling
what-if analysis
enterprise directives
enterprise context
decision making
analysis
ontology modeling
problem solving
it plant
See more