Model Hubs & Serving

Flair/Ner English Ontonotes

Flair NER model for English named entity recognition based on OntoNotes corpus.

Status
Not yet determined
Last checked
Unverified
License
Open source
Pricing
Free tier · from $0
Visit Flair/Ner English Ontonotes Compare with alternatives

What it is

This Flair model specializes in Named Entity Recognition (NER) for the English language, leveraging the extensive OntoNotes corpus. It is designed to accurately identify and classify entities within text into predefined categories such as persons, organizations, locations, etc., making it a valuable tool for developers working on NLP tasks.

The flair/ner-english-ontonotes model stands out due to its high accuracy and comprehensive coverage of named entities based on the extensive OntoNotes corpus, making it a robust choice for developers focusing on English text analysis.

When it fits — and when it doesn’t

A good fit for

  • Developers working on projects that require accurate named entity recognition for English texts.

  • Data scientists who need to preprocess large volumes of text data for further analysis.

Look elsewhere if

  • Projects requiring real-time processing, as the model may not be optimized for low-latency applications.

  • Applications needing support for multiple languages beyond English.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited language support beyond English

    The model is specifically trained on the OntoNotes corpus for English, limiting its effectiveness in other languages.

  2. 02

    Performance degradation with large datasets

    Processing time increases significantly with larger volumes of text due to the complexity of the NER model.

  3. 03

    Complex setup and dependency management

    Requires installation of multiple Python libraries and specific versions, which can lead to environment conflicts.

What it does well

  • High accuracy in named entity recognition for English text.

  • Based on the comprehensive OntoNotes corpus, ensuring broad coverage of entities.

  • Self-hosted and open-source, offering flexibility and customization options.

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Flair/Ner English Ontonotes

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →