Using NLP for Relation Extraction

Utilize our NLP expertise to help AI extract the relationships between two entities in unstructured sources such as raw text in a sentence. It's a kind of supervised relation extraction in NLP that Cogito provides to businesses working on NLP prototypes.

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Relation Extraction

Our Relation Extraction Service Includes

Incorrectly extracted data can lead to incorrect learning of the NLP algorithm if used as training data. Therefore, Cogito uses its machine learning and deep learning resources to extract relationships from texts to create the most relevant relationship extraction datasets.

Annotation

Annotation

To ensure that all of these words are included in a group, use a version of the BIO (Begin, Inside, Outside) annotation & labeling standard to indicate when groups begin and end.

Open Relationship Extraction

Count on our assistance in developing a relationship detection algorithm that is able to locate and return the relationships’ text snippets and arguments.

Open Relationship Extraction
Supervised Relation Extraction

Supervised Relation Extraction

Data extracted by Cogito can be used to train machine learning algorithms and manually label relationships between entities via supervised machine learning.

Targeted relationship extraction

We can help you create AI algorithms that identify particular actions that link entities and related information using deep conventional neural networks.

Targeted relationship extraction
Supervised Relation Extraction

Entity Relationship Extraction for NLP

Use our NLP expertise to train AI models that comprehend entities-relationships in texts to help them understand relationships between multiple entities.

Industries We Serve

With the ability of a machine to comprehend how entities link up and communicate, entity extraction has reached a new level. AI enterprises can benefit from our relationship extraction expertise by developing models for automatically recognizing entities and classifying their relationships.

Medical

Medical

In order to build a medical database, pharmaceutical companies can use relationship extraction-based AI to find interactions/relationships among drugs and medicines.

Social Media

Social Media

With relationship extraction, social media companies can design AI that recommends relevant pages and communities to users based on relationships between people, places, and organizations.

Information Technology

Information Technology

Search engines can also utilize relationship extraction to build a searchable knowledge base and develop AI to recommend user pages with content similar to their search terminologies.

Outsource To Us

Having robust, specially trained teams makes it easy to build and scale Relation extractions quickly. You can receive support tailored to the requirements of your industry from our team of relationship extraction experts.

Quality on a Promise

Quality on a Promise

Our team is committed to delivering high-quality Text Annotations. Our training data is therefore tailored for the applications of our clients.

Uncompromised Data Security

Uncompromised Data Security

Data security and confidentiality are of utmost importance to us. At all points in the annotation process, our team ensures that no data breaches occur.

Scalable with Quick Turnaround Time

Scalable with Quick Turnaround Time

We at Cogito claim to have the necessary resources and infrastructure to provide Text Annotation services on any scale while promising quality and timeliness.

Flexible Pricing

Flexible Pricing

Besides offering flexible pricing, we can tailor our services to suit your budget and training data requirements with our pay-as-you-go pricing model.

Get Us On Board

wide range of other industries that require Relation Extraction services. Bringing together over 1500 data experts, Cogito boasts a wealth of industry exposure to help you develop successful NLP models that utilize relationship extraction.

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