Tag: Entity Extraction

Entity extraction  is the process of identifying words in a given text that refer to people, places, products, organizations, etc. by using different extraction methods such as statistical or deep neural network processors, exact match processors, and pattern matching processors. When used together with entity resolution, the extracted words can be mapped to real life entities.

You can find our recent articles about entity extraction on this page.

Rosette Cloud 1.12: New Languages for Entity Linking, Better Korean Named Entity Extraction, and Delivery via Docker!

14 Dec 2018
Blog

We’re thrilled to announce the latest version of Rosette (1.12). This release features many exciting updates to our text analytics platform, including expanded language coverage, better accuracy, as well as new options for software delivery. Entities: Linking expanded to more languages and better Korean We’ve devoted a lot of focus to improving our support for […]


Rosette Cloud 1.11: New Entity Types, Hungarian Names, and Cross Language Semantics

29 Aug 2018
Blog

We’re thrilled to announce the latest version of Rosette (1.11). It’s a big one — lots of exciting new features, enhancements, and improvements. We hope you’ll check it out! TL; DR check the release notes. Entities: Enhanced Extraction and Linking with New Types Rosette Entity Extraction & Linking now recognizes 700 new classes of entities […]


The Most Effective Entity Extraction Techniques

02 Aug 2018
Blog

A hybrid of entity extraction methods to compensate for various strengths and weaknesses Just as you would never use a screwdriver to insert a nail, each type of entity is most accurately extracted by a different approach. There are many ways to extract entities, but no one universal solution for all entities. Different extraction methods […]


Provide Live Feedback to Your Entity Linking Knowledge Bases

07 Jun 2018
Blog

Rosette Entity Linking adds real-time, human-in-the-loop feature to entity linking databases While entity extraction provides the foundation of data mining and information extraction systems, extracted entities only have limited value out of context. Understanding not just what entity strings are included in your data but also the real-world entity they link back to is vital […]


Understanding the Difference Between Open and Targeted Relationship Extraction

16 Feb 2018
Blog

Who’s in your data, and how are they connected? You may have heard about relationship extraction and wondered what this NLP innovation is. Relationship extraction is the automated detection and classification of semantic relationships between entities in text. It goes beyond automatically adding metadata to articles, to “writing” profiles and reports about a person, place, […]


Rosette Cloud 1.9: More Languages, Higher Accuracy, and Deep Neural Nets

16 Jan 2018
Blog

Rosette Cloud 1.9 is out, delivering a new language for name matching, translation, and deduplication: Thai. We’ve also added a new deep neural network model for sentiment analysis, entity extraction offsets, salience scores for topic extraction, and more. Learn more below, or jump to the release notes. Name Matching The /name-similarity, /name-translation, and /name-deduplication endpoints […]


Just the Important Entities, Please

08 Nov 2017
Blog

Salience scores and linking confidence scores for extracted entities come to Rosette Cloud Data scraped from the web is often very noisy and cumbersome to work with. Sorting through it to find the most valuable information is a vital step in converting raw data into actionable insights. The release of Rosette Cloud 1.8 aims to […]


Relax, Your Sensitive Data Is Secure

25 Jul 2017
Tutorial

A new Rosette Cloud script enables you to hide personally identifying information (PII) in your documents and data Often organizations need to share documents and information that may include personally identifiable information, whether out of good conscience or by legal mandate. Going through documents manually to identify and remove all potentially compromisable data is time […]


Add Sentiment Analysis, Translated Names, Entities and More to Elasticsearch

17 Jul 2017
Blog

New text analytics plugin painlessly delivers rich, faceted search An API key and a line of code is all it takes to speed your research, enhance voice of the customer systems, automate content recommendations and more. Rosette API for Elasticsearch We launched Rosette API last year to put  text analytics in more hands. Through the […]


Rosette API 1.7 Release

15 Jun 2017
Blog

Great news! Yesterday we released Rosette API v. 1.7. We added support for Arabic sentiment analysis (beta), confidence scores for all extracted entities, pronominal resolution in targeted relationship extraction, and a new /transliteration endpoint for transforming romanized Arabic chat text (“Arabizi”) to standard Arabic script. We also introduced specialized linguistic analysis for emojis, emoticons, hashtags, […]


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