What is Entity Annotation?

Entity annotation is the act of locating and labeling mentions of named entities within a piece of text data. A named entity embodies a single distinct concept, often with a proper name, like “Japan” or “Elvis Presley”. Common entity types include people, organizations, products, and monetary values. However, since entities can be organized according to any unique classification system, the number of ways to classify entities is almost endless.

Named entity datasets can help to train a machine learning model to understand the structure and meaning behind a piece of text. Although they are most closely linked to entity extraction models, entity annotation is also an extremely important preprocessing step for many other NLP tasks. Without the ability to recognize and understand entities, it would be nearly impossible to build models ranging from search relevance to content summarization. At Lionbridge, we’ve spent the last two decades building solutions that can locate and label entities in raw text data. Thanks to our annotators’ vast and detailed knowledge of language, we can handle a diverse range of entity annotation projects. Whether your classification system is simple or complex, we can ensure that every entity in your text is identified, labeled, and primed to improve your machine learning model.

Our Entity Annotation Platform


Whatever your entity types or formatting requirements, Lionbridge can build, annotate, and package named entity datasets that will drastically improve your model.

  • 500,000+ Contributors
  • 300+ Languages
  • 20+ Years of experience


From our professional linguists to our experienced solutions architects, we’ve spent two decades assembling the ultimate team for entity annotation.

Multilingual Services

Multilinguality is an essential part of Lionbridge’s being. We now have over 300 language specialisms – and counting.

Customizable Workflow

Use our versatile workbench for a hands-off experience, or let us build out a project workflow that suits you.


Our Entity Annotation Services

Named Entity Recognition

Using our custom platform and a crowd of professional linguists, Lionbridge identifies and annotates named entities in a wide variety of texts, at both the word and phrase level. Using our workbench, our annotators exhaustively locate and annotate the named entities in your data according to your unique taxonomy. By combining our annotator’s depth of knowledge with a technology-first approach and a rigorous quality assessment, we deliver named entity datasets that are clean, accurate, and ready to improve your entity extraction algorithm.

Keyphrase Tagging

We support our customers in the development of keyphrase extraction models through locating and tagging keywords in their text data. Lionbridge’s experienced annotators are adept at quickly and accurately identifying the segments that summarize your strings. Whether your focus is on text mining, information retrieval, or NLP, our annotated data will lay the foundations for a model with competitive precision and recall.

Topic Extraction

Before you can build a reliable topic extractor, it’s important to assemble a comprehensive dataset filled with relevant examples for training purposes. Our contributors use their vast linguistic experience to pinpoint key phrases in your strings, as well as further relevant keywords that don’t appear explicitly in the text. Comprehensively annotated and rigorously assessed, your newly-annotated data will play a key role in building out a range of topic models.

Inside-Outside-Beginning (IOB) Tagging

Our platform can automatically export your data into IOB2 format, allowing us to deliver chunked and annotated datasets that exceed the industry standard for both linguistic and semantic annotation tasks. Whatever your chunk phrase type, Lionbridge has the technology to make annotation a smooth and pain-free experience.

Part-of-Speech (POS) Tagging

Accurate NLP models require an in-depth understanding of not just semantics, but also syntax. Lionbridge’s contributors draw on their years of experience in linguistics to annotate your strings on either the word or phrase level. Our comprehensive tags will enable you to build an extensive parse tree and lay the foundations for a great NER model.

How does it work?

how to crowdsource data

1. Project set-up

Our team work with you to develop a custom solution based on your project’s requirements, goals, and timeline.

how to crowdsource data
how to crowdsource data

2. Production

Our crowd of multilingual experts get to work annotating your text data according to your taxonomy.

how to crowdsource data
how to crowdsource data

3. Delivery

Our project management team checks, packages and formats the data before sending it to you for final approval.

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Entity Annotation Pricing

Thanks to our platform, we’re able to streamline much of the entity annotation process – and offer one of the most cost-effective entity annotation solutions in the industry. Contact us to get a free estimate for your project.

  • Account Manager
  • Project Management
  • 24/7 Support
  • API
  • NDA
  • Volume pricing
  • Custom reporting
  • Enterprise-grade SLAs
  • Custom invoicing
  • Consulting services
Let our experts perfect your text data

Multilingual Entity Annotation Services

Lionbridge’s linguistic background makes us the developer’s choice for entity annotation services in over 300 languages. Some of our most popular languages include:

  • Chinese entity annotation
  • Dutch entity annotation
  • French entity annotation
  • German entity annotation
  • Italian entity annotation
  • Japanese entity annotation
  • Portuguese entity annotation
  • Spanish entity annotation

Take another step towards a comprehensive linguistic model

Link your entities to any knowledge base using our multilingual annotators.
Power your NLP algorithms with a solid ground truth using our accurately annotated AI training data.
Capture user intent and provide accurate information retrieval with Lionbridge’s intent variation services.