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- Amrita’s Fetal Cardiology learning ( AFCL) Module – Fetal Heart Hybrid - Fellowship
- B.Tech. in Artificial Intelligence (AI) and Data Science (Medical Engineering) - Undergraduate
Publication Type : Book Chapter
Publisher : Springer
Source : Lecture Notes in Networks and Systems, Springer, Volume 74, p.91-99 (2019)
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Electronics and Communication
Year : 2019
Abstract : Information extraction is a key task in natural language processing which helps in knowledge discovery by extracting facts from the semi-structured text like natural language. Named entity recognition is one of the subtask under information extraction. In this work, we use recurrent based sequence models called Long Short-Time Memory (LSTM) for named entities recognition in Tamil language and word representation for words is done through a distributed representation of words. For this work, we have created a Tamil named entities recognition corpus by crawling Wikipedia and we have also used openly available FIRE-2018 Information Extractor for Conversational Systems in Indian Languages (IECSIL) shared task corpus. © Springer Nature Singapore Pte Ltd. 2019.
Cite this Research Publication : V. Hariharan, M. Kumar, A., and Dr. Soman K. P., “Named Entity Recognition in Tamil Language Using Recurrent Based Sequence Model”, in Lecture Notes in Networks and Systems, vol. 74, Springer, 2019, pp. 91-99.