Multi-BioNER
importedsoftware/multi-bioner
Cross-type Biomedical Named Entity Recognition with Deep Multi-task Learning (Bioinformatics'19)
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- arxiv.org/abs/1801.09851
- Repository
- github.com/yuzhimanhua/Multi-BioNER
- Documentation
- unknown
- Tags
- bioinformatics · biomedical-nlp · biomedical-text-mining · named-entity-recognition
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- llm-proteomics-hallucinationbioinformatics · biomedical-nlp
Systematic evaluation of hallucination risks in Large Language Models (GPT-4, Claude 3, Gemini Pro) for clinical proteomics and mass spectrometry interpretation. Production-ready detection framework…
- oe-extensionbiomedical-nlp
Chrome extension with LLM integration for clinicians to query OpenEvidence directly from text—AI-powered PICO question rewriting using Groq for evidence-based medicine workflows
- dose_instruction_parsernamed-entity-recognition
Parsing prescription dose instructions using Named Entity Recognition and rules
- ehr-relation-extractionnamed-entity-recognition
NER and Relation Extraction from Electronic Health Records (EHR).
- healthseanamed-entity-recognition
Healthsea is a spaCy pipeline for analyzing user reviews of supplementary products for their effects on health.
- PICO_Parsernamed-entity-recognition
A clinical BERT-based NLP tool for parsing clinical trial abstracts following the PICO framework
- api.github.com/repos/yuzhimanhua/Multi-BioNERretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2024-07-25, 136 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/22.json→ .entries["multi-bioner"]
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