NER & NLP
30+Domain-specific NER and natural language understanding
Named entity recognition models specialized for healthcare (BioBERT, ClinicalBERT), finance (FinBERT, SecBERT), legal (LegalBERT), and general purpose (BERT-NER, GLiNER). Extract entities, classify text, and understand domain-specific language in pure C#.
General Purpose NER
Extract persons, organizations, locations, and custom entities from any text.
BERT-NER
BERT-based token classification for standard named entity recognition.
GLiNER
Generalist model for open-vocabulary NER without predefined entity types.
UniNER
Universal NER with instruction tuning for any entity type.
LUKE
Language Understanding with Knowledge-based Embeddings for entity-aware NER.
Flair NER
Contextual string embeddings for sequence labeling.
Healthcare & Biomedical
Extract medical entities, drug names, diseases, and clinical concepts.
BioBERT
BERT pre-trained on PubMed abstracts for biomedical text mining.
PubMedBERT
Domain-specific pre-training on PubMed for biomedical NLP.
ClinicalBERT
BERT adapted for clinical notes and electronic health records.
BioMegatron
NVIDIA large-scale biomedical language model.
Finance & Legal
Extract financial entities, legal terms, and regulatory concepts.
FinBERT (NER)
Financial entity recognition for company names, tickers, and financial terms.
SecBERT
NER trained on SEC filings for regulatory entity extraction.
LegalBERT
Pre-trained on legal corpora for legal entity and clause identification.
Scientific & Multilingual
Specialized NER for scientific text and multiple languages.
SciBERT
BERT pre-trained on scientific papers for research entity extraction.
MatSciBERT
Materials science BERT for extracting materials, properties, and processes.
XLM-RoBERTa NER
Multilingual NER covering 100+ languages.
mBERT NER
Multilingual BERT for cross-lingual entity recognition.
NER with AiModelBuilder
using AiDotNet;
// Train an NER model with AiModelBuilder
var result = await new AiModelBuilder<float, float[], float>()
.ConfigureModel(new BioBERT<float>(variant: "v1.1"))
.ConfigureOptimizer(new AdamOptimizer<float>())
.ConfigurePreprocessing()
.ConfigureDataLoader(nerDataLoader)
.BuildAsync();
var entities = result.Predict(textEmbedding);Start building with NER & NLP
All 30+ implementations are included free under Apache 2.0.