Cover Image

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shirke, Mayur, Shembade, Amey, Thorat, Pavan, Wagh, Madhushri, Joshi, Raviraj
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On Importance of Layer Pruning for Smaller BERT Models and Low Resource Languages
by: Shirke, Mayur, et al.
Published: (2025)

Long Range Named Entity Recognition for Marathi Documents
by: Deshmukh, Pranita, et al.
Published: (2024)

L3Cube-MahaEmotions: A Marathi Emotion Recognition Dataset with Synthetic Annotations using CoTR prompting and Large Language Models
by: Kowtal, Nidhi, et al.
Published: (2025)

Towards Building Efficient Sentence BERT Models using Layer Pruning
by: Shelke, Anushka, et al.
Published: (2024)

Non-Contextual BERT or FastText? A Comparative Analysis
by: Shanbhag, Abhay, et al.
Published: (2024)

MahaParaphrase: A Marathi Paraphrase Detection Corpus and BERT-based Models
by: Jadhav, Suramya, et al.
Published: (2025)

From BERT to T5: A Study of Named Entity Recognition
by: Jia, Mei
Published: (2026)

On Importance of Code-Mixed Embeddings for Hate Speech Identification
by: Jagdale, Shruti, et al.
Published: (2024)

Large Language Models Struggle in Token-Level Clinical Named Entity Recognition
by: Lu, Qiuhao, et al.
Published: (2024)

Mix of Experts Language Model for Named Entity Recognition
by: Chen, Xinwei, et al.
Published: (2024)

Topic Modeling in Marathi
by: Shinde, Sanket, et al.
Published: (2025)

Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study
by: Keraghel, Imed, et al.
Published: (2024)

Positional Attention for Efficient BERT-Based Named Entity Recognition
by: Sun, Mo, et al.
Published: (2025)

ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models
by: Heng, Yuzhao, et al.
Published: (2024)

L3Cube-MahaSTS: A Marathi Sentence Similarity Dataset and Models
by: Mirashi, Aishwarya, et al.
Published: (2025)

Inclusion of Role into Named Entity Recognition and Ranking
by: Shukla, Neelesh Kumar, et al.
Published: (2025)

L3Cube-MahaSocialNER: A Social Media based Marathi NER Dataset and BERT models
by: Chaudhari, Harsh, et al.
Published: (2023)

Medical Spoken Named Entity Recognition
by: Le-Duc, Khai, et al.
Published: (2024)

Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages
by: Bahad, Sankalp, et al.
Published: (2024)

Chain-of-Translation Prompting (CoTR): A Novel Prompting Technique for Low Resource Languages
by: Deshpande, Tejas, et al.
Published: (2024)

DACTYL: Diverse Adversarial Corpus of Texts Yielded from Large Language Models
by: Thorat, Shantanu, et al.
Published: (2025)

Aligning Large Language Models to Low-Resource Languages through LLM-Based Selective Translation: A Systematic Study
by: Paul, Rakesh, et al.
Published: (2025)

Memorization of Named Entities in Fine-tuned BERT Models
by: Diera, Andor, et al.
Published: (2022)

Leveraging Parameter Efficient Training Methods for Low Resource Text Classification: A Case Study in Marathi
by: Deshmukh, Pranita, et al.
Published: (2024)

Empirical Study of Named Entity Recognition Performance Using Distribution-aware Word Embedding
by: Chen, Xin, et al.
Published: (2021)

MSNER: A Multilingual Speech Dataset for Named Entity Recognition
by: Meeus, Quentin, et al.
Published: (2024)

WhisperNER: Unified Open Named Entity and Speech Recognition
by: Ayache, Gil, et al.
Published: (2024)

Large Language Models for Few-Shot Named Entity Recognition
by: Zhao, Yufei, et al.
Published: (2018)

Harnessing Large Language Models for Biomedical Named Entity Recognition
by: Chen, Jian, et al.
Published: (2025)

Named Entity Recognition for Payment Data Using NLP
by: Nayak, Srikumar
Published: (2026)

Iterative Auto-Annotation for Scientific Named Entity Recognition Using BERT-Based Models
by: Gupta, Kartik
Published: (2025)

Assessment of Generative Named Entity Recognition in the Era of Large Language Models
by: Zhan, Qi, et al.
Published: (2026)

LTNER: Large Language Model Tagging for Named Entity Recognition with Contextualized Entity Marking
by: Yan, Faren, et al.
Published: (2024)

Nested Named-Entity Recognition on Vietnamese COVID-19: Dataset and Experiments
by: Lê, Ngoc C., et al.
Published: (2025)

Beyond Rule-based Named Entity Recognition and Relation Extraction for Process Model Generation from Natural Language Text
by: Neuberger, Julian, et al.
Published: (2023)

An Experimental Study on Data Augmentation Techniques for Named Entity Recognition on Low-Resource Domains
by: Torres, Arthur Elwing, et al.
Published: (2024)

Noise-Aware Named Entity Recognition for Historical VET Documents
by: Esser, Alexander M., et al.
Published: (2026)

Leveraging Large Language Models for Rare Disease Named Entity Recognition
by: Xi, Nan Miles, et al.
Published: (2025)

Better To Ask in English? Evaluating Factual Accuracy of Multilingual LLMs in English and Low-Resource Languages
by: Rohera, Pritika, et al.
Published: (2025)

Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models
by: Xie, Tingyu, et al.
Published: (2023)