Named Entity Recognition Annotation Services
Power your NLP models with expertly annotated data. Our human-in-the-loop approach ensures precision tagging of people, organizations, locations, and custom entities in your text data.
The Federal Reserve announced on January 15, 2025 that Janet Yellen will visit Tokyo for economic talks.
Mark Thompson, CEO of Quantum Dynamics, unveiled the company's latest AI-7000 processor.
The technology conference in Singapore attracted over 3,500 attendees from 47 countries.
Researchers at MIT and Stanford University published groundbreaking work in quantum computing.
The acquisition was finalized for $4.2 billion, according to a report from Bloomberg.
Power Your NLP Models with Accurate Entity Annotations
In natural language, critical information is often contained in specific entities: names of people, organizations, locations, dates, and more.
Named Entity Recognition annotation provides the foundational data for AI to identify and categorize these elements in text. At Your Personal AI, we offer expert NER annotation services that deliver structured, high-quality training data for your NLP models.
The Federal Reserve announced on Tuesday, March 15, 2025 that Janet Yellen will speak about economic trends in New York City.
Expert NER Annotation for Complex Text Data
YPAI's approach to NER annotation is thorough and adaptable, covering a variety of text sources and entity types
Custom Entity Taxonomies
We work with you to define the exact entity categories your project needs, from standard types to domain-specific entities like gene names, legal case numbers, or product codes.
High-Accuracy Entity Tagging
Our skilled linguistic annotators carefully read through each sentence to tag entities with the correct labels, paying attention to context to disambiguate entities.
Relationship & Metadata Annotation
Extend beyond simple entity identification with relationship mapping between entities or add attributes to entities to create a richer dataset for advanced models.
Elevate Your NLP Systems with Superior Data
Better entity recognition starts with better training data. With YPAI's Named Entity Recognition annotation services, you equip your NLP models with a deep understanding of the key terms and entities that matter to your business.
Why Partner with YPAI for NER?
Your Personal AI stands out as a premier provider of NER annotation, offering reliability and domain expertise that enhances your AI's understanding of text.
Trained Linguistic Experts
Our annotation team is composed of language graduates, translators, and subject-matter experts who understand grammar and context. They can pick up on subtleties like honorifics, aliases (e.g., "New York" vs "NYC"), and domain jargon that generic crowdsourcing might miss.
Robust Quality Assurance
We ensure high inter-annotator agreement by cross-reviewing a subset of the data among multiple annotators. Dedicated QA specialists then perform spot checks and corrections. Our layered QA process means you receive datasets with exceptional accuracy and consistency in entity tagging.
Scalable & Fast Delivery
Need to annotate millions of sentences? We can scale up rapidly. Our efficient project management and scalable workforce allow quick turnaround on large NLP corpora without sacrificing quality. We communicate closely with your team to meet project milestones and adapt to any changes in requirements.
Secure NLP Data Handling
Text data can include sensitive information (personal data, confidential business info). We treat your data with utmost security – secure servers, NDA-bound staff, and compliance with privacy regulations. If required, we can anonymize or mask personal data during annotation to further protect sensitive content.
Integration with NLP Tools
We deliver annotations in formats compatible with popular NLP frameworks (JSON, CSV, CoNLL, spaCy format, etc.). If you use specific annotation tools or platforms, our team can work directly within those systems. We aim to make it seamless to integrate our annotated data into your NLP pipeline for training or evaluation.
Industry-Specific Expertise
Our team includes specialists from finance, healthcare, legal, and technology sectors with deep domain knowledge. We understand industry-specific terminology, regulatory requirements, and unique entity types relevant to your vertical, ensuring annotations are contextually appropriate and valuable for your specific use cases.
Compatible with Leading NLP Technologies
Interactive Entity Recognition Example
The Federal Reserve announced on January 15, 2025 that Janet Yellen will visit Tokyo, Japan next Thursday to discuss economic policy with representatives from Bank of Japan and the Ministry of Finance.
Mark Thompson, CEO of Quantum Dynamics, announced the launch of their NLP-5000 system which can process 10 million tokens per second.
Elevate Your NLP Systems with Superior Data
Better entity recognition starts with better training data. With YPAI's Named Entity Recognition annotation services, you equip your NLP models with a deep understanding of the key terms and entities that matter to your business.
Request Free DatasetTransform Your NLP Models with Expert Entity Annotation
Precision-labeled entity data is the foundation of high-performing NLP models. Our NER annotation services deliver structured, context-aware entity tagging across domains. Complete this form to discuss your specific entity recognition needs and receive a custom solution tailored to your industry.