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TCS Research: Leveraging Innovation to Build Sustainable Futures
With focus on cloud computing, carbon capture, net zero goals, & digital sciences, TCS research is leveraging innovation to create a sustainable future for all.
Related Insights
TCS’ team has developed efficient algorithms & biomarkers that rely on metagenomic sequencing for enhanced screening & risk assessment of diseases & disorders.
Report
01 Feb 2021
Dr. Beena Rai has been elected as an INAE Fellow for her contributions in engineering and building innovative solutions in the field of technology. Learn more.
Report
21 Nov 2022
As enterprises adopt AI technologies, read how they must ensure that the solutions are responsible, explainable, transparent, and bias-free for better outcomes.
White Paper
16 Nov 2022
Authors
Sagar Sunkle, Senior Scientist, TCS Research
Vinay Kulkarni, Chief Scientist, TCS Research
Highlights
- A template-based recommendation system derived on the user's profile and insights obtained from similar historical cases.
- An approach leveraging natural language processing techniques to help users get specific legal solutions.
- Contextualizing legal insights for a user based on prior legal proceedings using NLP technique.
My paper in 2 minutes
Deriving legal recommendations using NLP technique
Natural language processing techniques help draw user-specific insights in legal cases.
Legal professionals use their experience or refer to relevant previous judicial evidence to prescribe the course of action to their clients while offering legal services. Comprehending prior legal proceedings and contextualizing the insights to a given user profile is a challenging task.
We present a template-based recommendation system derived on the user's profile and insights obtained from similar past cases. Natural language processing techniques are used to parse the relevant text to create user-specific legal insights. These insights populate a template to provide the final recommendations to the user. Using NLP techniques, we demonstrate the system with two case studies: parental alienation and divorce cases. Our system shows promising results in creating meaningful insights and recommendations.
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