Named Entity Recognition Using BERT Model for Kannada Language

Shriya Hebbar; B. Ashwath Rao; S. N. Muralikrishna; Musica Supriya; V. G. Narendra; L. Sobha

doi:10.1109/ICRAIS59684.2023.10367119

Named Entity Recognition Using BERT Model for Kannada Language

Shriya Hebbar
, B. Ashwath Rao
, S. N. Muralikrishna
, Musica Supriya
, V. G. Narendra
, L. Sobha

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

Named Entity Recognition (NER) is a vital technique in Natural Language Processing (NLP) used to discern and classify words in a text into corresponding predefined categories. These categories often inlude entities such as names of people, organizations, locations, dates, and more. These are termed as Named Entities. The goal of NER is to extract and label these named entities automatically from unstructured text data. It has many applications, especially in information extraction, machine translation, text-to-speech synthesis, natural language understanding, question answering, text summarization, etc. This paper presents an approach based on Bidirectional Encoder Representations from Transformers (BERT) for identifying and recognizing named entities in Kannada, an Indian language.

Original language	English
Title of host publication	2023 International Conference on Recent Advances in Information Technology for Sustainable Development, ICRAIS 2023 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	212-216
Number of pages	5
ISBN (Electronic)	9798350306637
DOIs	https://doi.org/10.1109/ICRAIS59684.2023.10367119
Publication status	Published - 2023
Event	1st International Conference on Recent Advances in Information Technology for Sustainable Development, ICRAIS 2023 - Manipal, India Duration: 06-11-2023 → 07-11-2023

Publication series

Name	2023 International Conference on Recent Advances in Information Technology for Sustainable Development, ICRAIS 2023 - Proceedings

Conference

Conference	1st International Conference on Recent Advances in Information Technology for Sustainable Development, ICRAIS 2023
Country/Territory	India
City	Manipal
Period	06-11-23 → 07-11-23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Science Applications
Hardware and Architecture
Information Systems
Renewable Energy, Sustainability and the Environment
Geography, Planning and Development

Access to Document

10.1109/ICRAIS59684.2023.10367119

Cite this

Hebbar, S., Ashwath Rao, B., Muralikrishna, S. N., Supriya, M., Narendra, V. G., & Sobha, L. (2023). Named Entity Recognition Using BERT Model for Kannada Language. In 2023 International Conference on Recent Advances in Information Technology for Sustainable Development, ICRAIS 2023 - Proceedings (pp. 212-216). (2023 International Conference on Recent Advances in Information Technology for Sustainable Development, ICRAIS 2023 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICRAIS59684.2023.10367119

Hebbar, Shriya ; Ashwath Rao, B. ; Muralikrishna, S. N. et al. / Named Entity Recognition Using BERT Model for Kannada Language. 2023 International Conference on Recent Advances in Information Technology for Sustainable Development, ICRAIS 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 212-216 (2023 International Conference on Recent Advances in Information Technology for Sustainable Development, ICRAIS 2023 - Proceedings).

@inproceedings{b5687a8429a44c65abee27081439ec53,

title = "Named Entity Recognition Using BERT Model for Kannada Language",

abstract = "Named Entity Recognition (NER) is a vital technique in Natural Language Processing (NLP) used to discern and classify words in a text into corresponding predefined categories. These categories often inlude entities such as names of people, organizations, locations, dates, and more. These are termed as Named Entities. The goal of NER is to extract and label these named entities automatically from unstructured text data. It has many applications, especially in information extraction, machine translation, text-to-speech synthesis, natural language understanding, question answering, text summarization, etc. This paper presents an approach based on Bidirectional Encoder Representations from Transformers (BERT) for identifying and recognizing named entities in Kannada, an Indian language.",

author = "Shriya Hebbar and \{Ashwath Rao\}, B. and Muralikrishna, \{S. N.\} and Musica Supriya and Narendra, \{V. G.\} and L. Sobha",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 1st International Conference on Recent Advances in Information Technology for Sustainable Development, ICRAIS 2023 ; Conference date: 06-11-2023 Through 07-11-2023",

year = "2023",

doi = "10.1109/ICRAIS59684.2023.10367119",

language = "English",

series = "2023 International Conference on Recent Advances in Information Technology for Sustainable Development, ICRAIS 2023 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "212--216",

booktitle = "2023 International Conference on Recent Advances in Information Technology for Sustainable Development, ICRAIS 2023 - Proceedings",

address = "United States",

}

Hebbar, S, Ashwath Rao, B , Muralikrishna, SN, Supriya, M, Narendra, VG & Sobha, L 2023, Named Entity Recognition Using BERT Model for Kannada Language. in 2023 International Conference on Recent Advances in Information Technology for Sustainable Development, ICRAIS 2023 - Proceedings. 2023 International Conference on Recent Advances in Information Technology for Sustainable Development, ICRAIS 2023 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 212-216, 1st International Conference on Recent Advances in Information Technology for Sustainable Development, ICRAIS 2023, Manipal, India, 06-11-23. https://doi.org/10.1109/ICRAIS59684.2023.10367119

Named Entity Recognition Using BERT Model for Kannada Language. / Hebbar, Shriya; Ashwath Rao, B.; Muralikrishna, S. N. et al.
2023 International Conference on Recent Advances in Information Technology for Sustainable Development, ICRAIS 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. p. 212-216 (2023 International Conference on Recent Advances in Information Technology for Sustainable Development, ICRAIS 2023 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Named Entity Recognition Using BERT Model for Kannada Language

AU - Hebbar, Shriya

AU - Ashwath Rao, B.

AU - Muralikrishna, S. N.

AU - Supriya, Musica

AU - Narendra, V. G.

AU - Sobha, L.

PY - 2023

Y1 - 2023

N2 - Named Entity Recognition (NER) is a vital technique in Natural Language Processing (NLP) used to discern and classify words in a text into corresponding predefined categories. These categories often inlude entities such as names of people, organizations, locations, dates, and more. These are termed as Named Entities. The goal of NER is to extract and label these named entities automatically from unstructured text data. It has many applications, especially in information extraction, machine translation, text-to-speech synthesis, natural language understanding, question answering, text summarization, etc. This paper presents an approach based on Bidirectional Encoder Representations from Transformers (BERT) for identifying and recognizing named entities in Kannada, an Indian language.

AB - Named Entity Recognition (NER) is a vital technique in Natural Language Processing (NLP) used to discern and classify words in a text into corresponding predefined categories. These categories often inlude entities such as names of people, organizations, locations, dates, and more. These are termed as Named Entities. The goal of NER is to extract and label these named entities automatically from unstructured text data. It has many applications, especially in information extraction, machine translation, text-to-speech synthesis, natural language understanding, question answering, text summarization, etc. This paper presents an approach based on Bidirectional Encoder Representations from Transformers (BERT) for identifying and recognizing named entities in Kannada, an Indian language.

UR - https://www.scopus.com/pages/publications/85182944048

UR - https://www.scopus.com/pages/publications/85182944048#tab=citedBy

U2 - 10.1109/ICRAIS59684.2023.10367119

DO - 10.1109/ICRAIS59684.2023.10367119

M3 - Conference contribution

AN - SCOPUS:85182944048

T3 - 2023 International Conference on Recent Advances in Information Technology for Sustainable Development, ICRAIS 2023 - Proceedings

SP - 212

EP - 216

BT - 2023 International Conference on Recent Advances in Information Technology for Sustainable Development, ICRAIS 2023 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 1st International Conference on Recent Advances in Information Technology for Sustainable Development, ICRAIS 2023

Y2 - 6 November 2023 through 7 November 2023

ER -

Hebbar S, Ashwath Rao B , Muralikrishna SN, Supriya M, Narendra VG, Sobha L. Named Entity Recognition Using BERT Model for Kannada Language. In 2023 International Conference on Recent Advances in Information Technology for Sustainable Development, ICRAIS 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. p. 212-216. (2023 International Conference on Recent Advances in Information Technology for Sustainable Development, ICRAIS 2023 - Proceedings). doi: 10.1109/ICRAIS59684.2023.10367119

Named Entity Recognition Using BERT Model for Kannada Language

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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