named-entity-recognition
797 papers with code • 0 benchmarks • 2 datasets
Benchmarks
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Libraries
Use these libraries to find named-entity-recognition models and implementations
NuNER
Latest papers
Evaluating Named Entity Recognition: Comparative Analysis of Mono- and Multilingual Transformer Models on Brazilian Corporate Earnings Call Transcriptions
By curating a comprehensive dataset comprising 384 transcriptions and leveraging weak supervision techniques for annotation, we evaluate the performance of monolingual models trained on Portuguese (BERTimbau and PTT5) and multilingual models (mBERT and mT5).
ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models
Although Large Language Models (LLMs) exhibit remarkable adaptability across domains, these models often fall short in structured knowledge extraction tasks such as named entity recognition (NER).
Wiki-TabNER:Advancing Table Interpretation Through Named Entity Recognition
table-interpretation/wiki_table_ner
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Finally, we propose a prompting framework for evaluating the newly developed large language models (LLMs) on this novel TI task.
Rethinking Negative Instances for Generative Named Entity Recognition
yyding1/gner
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In the Named Entity Recognition (NER) task, recent advancements have seen the remarkable improvement of LLMs in a broad range of entity domains via instruction tuning, by adopting entity-centric schema.
Adaptation of Biomedical and Clinical Pretrained Models to French Long Documents: A Comparative Study
Recently, pretrained language models based on BERT have been introduced for the French biomedical domain.
DistALANER: Distantly Supervised Active Learning Augmented Named Entity Recognition in the Open Source Software Ecosystem
With the AI revolution in place, the trend for building automated systems to support professionals in different domains such as the open source software systems, healthcare systems, banking systems, transportation systems and many others have become increasingly prominent.
NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data
Large Language Models (LLMs) have shown impressive abilities in data annotation, opening the way for new approaches to solve classic NLP problems.
Re-Examine Distantly Supervised NER: A New Benchmark and a Simple Approach
liyp0095/CuPUL
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This paper delves into Named Entity Recognition (NER) under the framework of Distant Supervision (DS-NER), where the main challenge lies in the compromised quality of labels due to inherent errors such as false positives, false negatives, and positive type errors.
Malaysian English News Decoded: A Linguistic Resource for Named Entity and Relation Extraction
We then fine-tuned the spaCy NER tool and validated that having a dataset tailor-made for Malaysian English could improve the performance of NER in Malaysian English significantly.
CMNER: A Chinese Multimodal NER Dataset based on Social Media
jyz99/cmner
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Multimodal Named Entity Recognition (MNER) is a pivotal task designed to extract named entities from text with the support of pertinent images.
