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Evaluating NLP: Assembling a Test Dataset
Part 1 of Evaluating Natural Language Processing for Named Entity Recognition in Six Steps How do you know if a given natural language package will do what you need? How can ...
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Releases
NEW Release 1.16.1 (June 2020)
NEW Release 1.15.1
NEW Release 1.15.0
NEW Release 1.14.0
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 ...
Learn moreWelcome to Being Human, X Æ A-12
Elon Musk’s Son X Æ A-12, Presents the Ultimate Name Matching Challenge The naming of a child is an intrinsically human activity. Your parents get the first crack at it, but ...
Learn moreA Day in the Life of… Building a New Entity Extraction Model
What does it take to build a real production-ready model for entity extraction in one language? Here’s a peek through the eyes of our linguistic data engineer. Swedish model building by ...
Learn moreHootsuite
Hootsuite is the most widely used social media management platform, trusted by more than 18 million people and employees at 80% of the Fortune 1000. Clients of Hootsuite are empowered ...
Learn moreMake Your Choice: It’s More Than a Score for Evaluating NLP
Part 3 of Evaluating Natural Language Processing for Named Entity Recognition in Six Steps Just as standardized test scores alone cannot prove that an applicant will be successful in a college ...
Learn moreEvaluating NLP: Annotating Evaluation Data and Scoring Results
Part 2 of Evaluating Natural Language Processing for Named Entity Recognition in Six Steps In our previous blog post, we discussed the importance of defining your requirements for your NLP evaluation. ...
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U.S. Customs & Border Protection
U.S. Customs and Border Protection (CBP) provides security and facilitation operations at 328 ports of entry throughout the country. CBP takes a comprehensive approach to border management and control, combining ...
Learn moreDeep Learning Brings Fuzzy English-to-Japanese Name Matching Into Focus
Matching thousands of Latin-based names to their Japanese equivalent is a very specific and troublesome problem. It is one of many “edge cases” (i.e., a specific name matching problem) ...
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Kanopy
Rosette enables better search of streaming content Introduction A few short years ago, checking out popular DVDs from the library was a new and radical idea. Today library patrons want to “borrow” ...
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Plus Alpha Consulting
Plus Alpha Consulting enables analysis of customer feedback from Chinese social media with Rosette® Established in 2006, Tokyo-based Plus Alpha Consulting Co., Ltd. specializes in software as a service (SaaS) for ...
Learn moreWelcome to OFAC Compliance, Apple
Name matching failure results in $467,000 fine and delivers a wake-up call for all companies Once upon a time, it seemed only banks and border security had to worry about the ...
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Toshiba
Since the Sept. 11, 2001 terrorist attacks in the U.S., complying with the need to swiftly screen names against expanding watchlists has become a growing issue. To meet that challenge, ...
Learn moreWhat’s in a Persian Name?
How Persian names are composed from history, social class, religious affiliation, and geographic origins This month we have a special blog post by computational linguist and NLP engineer Zina Saadi. For this ...
Learn moreRosette 1.14 Release: Entity linking to Thomson Reuters PermID, Multi-model language identification
The August release of Rosette 1.14 brings new features to entity extraction and linking, as well as language identification. Roadmap for linking entities to multiple knowledge bases In addition to linking to ...
Learn moreWhat’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 ...
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 ...
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