Cited By
View all- Nagar MDhaliwal D(2023)ANALYSIS OF EMERGING TRADING MEMBERS OF CAPITAL MARKET: A CASE STUDY OF MOTILAL OSWAL FINANCIAL SERVICES LIMITEDTowards Excellence10.37867/TE150249(467-478)Online publication date: 30-Jun-2023
SEBI Regulation Biography
Authors: 
Sathvik Sanjeev Buggana, Deepti Saravanan, Shravya Kanchi, Ujwal Narayan, Shivam Mangale, Lini T. Thomas, 
Kamalakar Karlapalem, Natraj RamanAuthors Info & Claims
Sathvik Sanjeev Buggana, Deepti Saravanan, Shravya Kanchi, Ujwal Narayan, Shivam Mangale, Lini T. Thomas, Kamalakar Karlapalem, Natraj RamanAuthors Info & ClaimsPages 598 - 603
Abstract
The Securities and Exchange Board of India is the regulatory body for securities and commodity market in India. A growing number of SEBI documents ranging from government regulations to legal case files are now available in the digital form. Advances in natural language processing and machine learning provide opportunities for extracting semantic insights from these documents. We present here a system that performs semantic processing of SEBI documents using state-of-the-art language models to produce enriched regulations containing timelines of amendments and cross references to legal case files.
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References
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Isabel S. Bedmar, Paloma Martínez, and María H. Zazo. 2013. Semeval-2013 task 9: Extraction of drug-drug interactions from biomedical texts (ddiextraction 2013). In Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013). Association for Computational Linguistics, Association for Computational Linguistics, Georgia, 341––350.
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Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. arxiv:1810.04805 [cs.CL]
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Sofie Van Landeghem Matthew Honnibal, Ines Montani and Adriane Boyd. 2020. spaCy: Industrial-strength Natural Language Processing in Python. https://doi.org/10.5281/zenodo.1212303
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Mike Schuster and Kuldip Paliwal. 1997. Bidirectional recurrent neural networks. IEEE Transactions on Signal Processing 45, 11 (1997), 2673–2681. https://doi.org/10.1109/78.650093
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Stefan Schweter and Alan Akbik. 2020. FLERT: Document-Level Features for Named Entity Recognition. arxiv:2011.06993 [cs.CL]
Index Terms
- SEBI Regulation Biography
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Published In
April 2022
1338 pages
ISBN:9781450391306
DOI:10.1145/3487553
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Published: 16 August 2022
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View all- Nagar MDhaliwal D(2023)ANALYSIS OF EMERGING TRADING MEMBERS OF CAPITAL MARKET: A CASE STUDY OF MOTILAL OSWAL FINANCIAL SERVICES LIMITEDTowards Excellence10.37867/TE150249(467-478)Online publication date: 30-Jun-2023
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