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Development of a Dataset and a Deep Learning Baseline Named Entity Recognizer for Three Low Resource Languages: Bhojpuri, Maithili, and Magahi
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.artint.2005.03.001openalex-snapshot
Unsupervised named-entity extraction from the Web: An experimental study
inferredcites →https://doi.org/10.1016/j.jbi.2013.08.004openalex-snapshot
Unsupervised biomedical named entity recognition: Experiments with clinical and biological texts
inferredcites →https://doi.org/10.1016/j.procs.2015.02.007openalex-snapshot
Evaluation of Named Entity Features for Punjabi Language
inferredcites →https://doi.org/10.1109/icacci.2013.6637410openalex-snapshot
Improving the quality of MT output using novel name entity translation scheme
inferredcites →https://doi.org/10.1137/1.9781611972757openalex-snapshot
Proceedings of the 2005 SIAM International Conference on Data Mining
inferredcites →https://doi.org/10.1145/1390156.1390177openalex-snapshot
A unified architecture for natural language processing
inferredcites →https://doi.org/10.1145/3383306openalex-snapshot
Named Entity Recognition and Classification for Punjabi Shahmukhi
inferredcites →https://doi.org/10.1162/089120101300346822openalex-snapshot
Unsupervised Named Entity Recognition Using Syntactic and Semantic Contextual Evidence
inferredcites →https://doi.org/10.13140/rg.2.2.18185.67686openalex-snapshot
Basic Linguistic Resources and Baselines for Bhojpuri, Magahi and Maithili for Natural Language Processing
inferredcites →https://doi.org/10.1587/transinf.2019edp7154openalex-snapshot
Korean-Vietnamese Neural Machine Translation with Named Entity Recognition and Part-of-Speech Tags
inferredcites →https://doi.org/10.1609/aaai.v30i1.10362openalex-snapshot
Character-Aware Neural Language Models
inferredcites →https://doi.org/10.18653/v1/d16-1153openalex-snapshot
Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings
inferredcites →https://doi.org/10.18653/v1/d17-1openalex-snapshot
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
inferredcites →https://doi.org/10.18653/v1/d17-2017openalex-snapshot
NeuroNER: an easy-to-use program for named-entity recognition based on neural networks
inferredcites →https://doi.org/10.18653/v1/p16-1101openalex-snapshot
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
inferredcites →https://doi.org/10.18653/v1/s18-2021openalex-snapshot
Deep Affix Features Improve Neural Named Entity Recognizers
inferredcites →https://doi.org/10.18653/v1/w15-3904openalex-snapshot
Boosting Named Entity Recognition with Neural Character Embeddings
inferredcites →https://doi.org/10.3115/1071884openalex-snapshot
Proceedings of the 19th international conference on Computational linguistics -
inferredcites →https://doi.org/10.3115/1609822.1609823openalex-snapshot
Improving machine translation quality with automatic named entity recognition
inferredcites →https://doi.org/10.3126/nl.v33i1.41066openalex-snapshot
Developing classification-based named entity recognizers (NER) for Sambalpuri and Odia applying support vector machines (SVM)
inferredcites →https://doi.org/10.3233/jifs-210051openalex-snapshot
The first named entity recognizer in Maithili: Resource creation and system development
inferredcites →https://doi.org/10.4230/oasics.slate.2021.8openalex-snapshot
Bidirectional LSTM-CRF Models for Sequence Tagging
inferredcites →https://doi.org/10.48550/arxiv.1505.05008openalex-snapshot
Boosting Named Entity Recognition with Neural Character Embeddings
inferredcites →https://doi.org/10.48550/arxiv.1603.01354openalex-snapshot
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
inferredcites →https://doi.org/10.5121/ijnlc.2012.1402openalex-snapshot
Named Entity Recognition using Hidden Markov Model (HMM)
inferredcites →https://doi.org/10.5121/ijnlc.2014.3310openalex-snapshot
A Survey of Named Entity Recognition in Assamese and other Indian Languages
inferredcites →https://doi.org/10.5555/1046920.1194905openalex-snapshot
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-93557-2_4openalex-snapshot
Curation and Annotation of an Indigenous Bible Corpus for Named Entity Recognition Model
inferred← citeshttps://doi.org/10.1007/978-981-19-9858-4_72openalex-snapshot
Deep Learning-Based Similar Languages’ POS Tagging: Experiments on Bhojpuri, Maithili, and Magahi
inferred← citeshttps://doi.org/10.1007/s10462-024-10795-2openalex-snapshot
A hybrid approach for Bengali sentence validation
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.112702openalex-snapshot
Span-based sliding window feature extraction and label knowledge for few-shot Named Entity Recognition
inferred← citeshttps://doi.org/10.1016/j.nlp.2025.100160openalex-snapshot
A multi-way parallel named entity annotated corpus for English, Tamil and Sinhala
inferred← citeshttps://doi.org/10.1016/j.procs.2025.04.228openalex-snapshot
Empirical Study on Efficiency of Different Language Modeling Techniques using Masking of Named Entities for Indic Languages
inferred← citeshttps://doi.org/10.1063/5.0328701openalex-snapshot
Structured and comprehensive review on Indian languages (IL) NER: Taggers and approaches
inferred← citeshttps://doi.org/10.1109/aikiie60097.2023.10390173openalex-snapshot
Design of Machine Automatic Translation System Based on Artificial Intelligence
inferred← citeshttps://doi.org/10.1142/s0218213025500058openalex-snapshot
Empirical Analysis on Machine Translation Possibilities for Low-Resource Santali Language
inferred← citeshttps://doi.org/10.1371/journal.pone.0342786openalex-snapshot
ANCHOLIK-NER: A benchmark dataset for Bangla regional named entity recognition
inferred← citeshttps://doi.org/10.18653/v1/2022.conll-1.9openalex-snapshot
Combining Noisy Semantic Signals with Orthographic Cues: Cognate Induction for the Indic Dialect Continuum
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2326533/v1openalex-snapshot
WITHDRAWN: Refining Readability by Tackling Redundancy and Time through Modified Rule based Extractive Summarization Approach for Low Resource Indian Languages-Hindi andPunjabi
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2326533/v2openalex-snapshot
WITHDRAWN: Refining Readability by Tackling Redundancy and Time through Modified Rule based Extractive Summarization Approach for Low Resource Indian Languages-Hindi andPunjabi
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3827718/v1openalex-snapshot
State-of-art approach for Indian Language based on NER: Comprehensive Review
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