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.

Adapt Rosette’s Entity Extraction to Your Content for Increased Accuracy

Entity extraction is becoming a mission-critical tool for finding mentions of people, places, organizations, and products in massive quantities of text. In patent searches, law enforcement, voice-of-the-customer analysis, ad targeting, content recommendation, e-discovery, and anti-fraud, entity extraction enables swift analysis of gigabytes of data. Among named entity recognition systems, those such as Rosette’s entity extraction function which […]

What is Entity Extraction?

How it’s used and how it works Entity extraction (aka, named entity recognition or NER) is a type of natural language processing technology that enables computers to analyze text as it is naturally written. Specifically, it pulls out the most important data points (entities) in unstructured text (think news, webpages, text fields). Entities include names […]

Linking In-house and Third-party Data to Streamline Success

Are you bumping into the walls of siloed data? Whether your company is grappling with legacy systems that don’t integrate or datasets from third-party sources without common keys, there are ways to create matches in the data that paint a more robust view of your customer, prospect, or person of interest.  Consolidating Your In-house Data […]

NLP Boosts Geopolitical Forecasting

How the KaDSci Team leveraged NLP to jump into second place in IARPA competition Basis Technology congratulates the authors of the peer-reviewed article “What do forecasting rationales reveal about thinking patterns of top geopolitical forecasters?”, which delves into the technical details of how the KaDSci team leapt from 27th place to 2nd place in three […]

Top 5 Takeaways from AI for Human Language

AI for Human Language 2021 brought together hundreds of professionals in cybersecurity, financial security, and compliance to explore technology available today that is enabling us to verify identities and anticipate world events. In this (almost in-person) virtual experience, speakers from IDF Unit 8200, Cybersixgill, Recorded Future, Metis Augmented Intelligence, and more came together to demonstrate […]

How to Write Annotation Guidelines for Entity Extraction

Solid annotation guidelines are an essential requirement for producing good training data. These guidelines distinguish correct from incorrect results, define the task and ensure that the annotation process is reliable and repeatable for independent human annotators.

Building a More Useful Hebrew Transliteration Scheme

When the Rosette® Name Translator team set out to build a Hebrew-to-Latin character translator, one of the first considerations was: Which Hebrew transliteration standard should we use? As the joke goes, “Standards are great because there are so many to choose from.” The existing Hebrew transliteration standards, ISO 259-2:1994 and UNGEGN (United Nations Group of […]

Faster Annotation with Rosette Adaptation Studio

What are the top three barriers to better machine learning models? Annotating data, annotating data, and annotating data. Okay, so it’s not that simple, but producing quality training data to produce accurate models takes up the lion’s share of human labor and time in the entire process. This includes collecting and cleaning data, making sure […]

What’s the Difference Between Entity Extraction (NER) and Entity Resolution?

Entity extraction, or named entity recognition (NER), is finding mentions of key “things” (aka “entities”) such as people, places, organizations, dates, and time within text. Entity mentions are the words in text that refer to entities, such as “Bill Clinton,” “White House,” and “U.S.” Entity resolution (aka, entity linking) takes it one step further and […]