Blog
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 ...
Learn moreCross-Lingual Search Based on Concepts and Meaning
We've recently released this whitepaper which explores a new way to solve cross-lingual semantic search. Rather than use machine translation to translate queries or search records, this approach delivers better ...
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Red Flag Group
The Red Flag Group’s global due diligence services cover 194 countries and 54 languages. Its full menu of services offers everything the compliance officer of a Fortune 1000 company needs: ...
Learn moreYou Say Jamāl, He Writes Djamel: Influences on Western Transliteration of Arabic Names
When it comes to name searching and matching, each language poses its own unique challenges. Arabic is one of the most complex languages for name-matching applications to analyze. This article ...
Learn moreHow Data Annotation Works: Inside NLP and Search, Part IV
Interested search technology—or AI generally? Over the next four weeks, we’re going to take an in-depth (and interesting!) look at the technology that makes modern search tick. This week, we're ...
Learn moreWhy Data & Data Annotation Make or Break AI: Inside NLP and Search, Part III
Interested search technology—or AI generally? Over the next four weeks, we’re going to take an in-depth (and interesting!) look at the technology that makes modern search tick. Today we're digging ...
Learn moreEntity Linking and Too Many (Tim) Cooks: Inside NLP and Search, Part II
Interested search technology—or AI generally? Over the next four weeks, we’re going to take an in-depth (and interesting!) look at the technology that makes modern search tick. This week, we're ...
Learn moreYour Search Engine, AI, and You: Inside NLP and Search, Part I
Interested search technology—or AI generally? Over the next four weeks, we’re going to take an in-depth (and interesting!) look at the technology that makes modern search tick. Let's dive in ...
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Sensika
EXECUTIVE SUMMARY Sensika is a “media seismometer” for its clients, aiming to detect the subtle “tremors” that most media monitoring tools might miss. Whether it’s knowing a company is in trouble ...
Learn moreDuplicate Document Detection & Cross-Lingual Search
How to automate mundane tasks and find relevant text using text embedding Numbers are great, because they are easy to compare, tabulate and examine. Text? Not so much. But text embeddings let ...
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Vital4
Executive Summary Customer or money launderer? New hire or felon? Whether it’s for financial compliance or pre-employment screening, due diligence is all about finding names and matching names against watch lists, ...
Learn moreWebinar Recording: Deep Learning’s Impact on NLP
In December 2018, our Chief Scientist Kfir Bar presented a 30-minute webinar about: How deep learning is impacting NLP Pros and cons of deep learning for NLP Factors to consider ...
Learn moreHungarian Names: Challenges For Fuzzy Name Matching
The U.S. might pride itself on being a “melting pot” of cultures, but when it comes to a melting pot for names, Hungary is king. To start, Hungarians (or Magyars) don’t ...
Learn moreRosette Cloud 1.12: New Languages for Entity Linking, Better Korean Named Entity Extraction, and Delivery via Docker!
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 ...
Learn moreMarketing Technology Provider
A game-changing marketing technology (martech) company serving Fortune 500 companies and high growth startups answers that precise question. Their data-driven platform tracks marketing campaign articles and posts from the day ...
Learn moreWhat Is AI? Complex Technology in Plain English: Getting AI to Comply Series, Part I
This fall, we’re sharing a series of blog posts exploring AI's impact on highly regulated industries and the major compliance barrier that stands in the way: the “black box” problem. Setting ...
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