New! Rosette adds team collaboration to event extraction; increases languages for name matching
The latest release of Rosette adds team collaboration to event extraction, increases languages for name matching, and enhances entity extraction model training
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Releases
NEW Release 1.23 (September 2022)
NEW Release 1.22
NEW Release 1.20
NEW Release 1.19.3
Unlock the Potential of Commercial Innovation in the Public Sector: Part 2 – Building a Public-Private Partnership
How can agencies unlock the potential of commercial technology? In this post, experts discuss the challenges and benefits of public-private partnerships for accelerating innovation.
Learn moreUnlock the Potential of Commercial Innovation in the Public Sector: Part 1 – Security and Trust
Adopting emerging commercial technologies while maintaining security and compliance controls is a challenge for the US federal government. Babel Street experts weigh in, and it starts with trust.
Learn moreHow named entity recognition connects the dots for law enforcement and intelligence
Intelligence agencies can find people, organizations from incoming data and link to their own knowledge base to reveal insights, links between cases, and accelerate investigations.
Learn moreWhat is Adverse Media Screening and Why It Matters to Financial Institutions
Adverse media screening — or the process of querying public data for negative mention of clients — is a best practice for financial institutions’ customer due diligence.
Learn moreHow text analytics and machine translation made multilingual eDiscovery 151% more productive
This multilingual eDiscovery effort used text analytics and machine translation to effectively prioritize unreviewed materials. The result: 151% more productivity, saving time and money.
Learn moreHow to improve name matching with Rosette plugin for Elasticsearch
Many organizations try to conduct high-velocity name matching using only search platforms. Deploying Rosette in conjunction with those platforms can dramatically improve the process.
Learn moreFine-tune your name match threshold and parameters with Rosette
Rosette improves name matching with an adjustable match threshold, adjustable parameters, and normalized scores.
Learn moreSemantic similarity word game powered by Rosette
See how one Hackathon team used Rosette to create a multilingual word game based on semantic similarity.
Learn moreRosette 1.24.0 helps banks comply with AML/KYC regulations by adding regex option, plus additional updates
Rosette AI helps with name matching and AML compliance. Find out what’s been updated in Rosette 1.24
Learn moreTime-saving tools for generating training and evaluation data
High quality training and evaluation data is essential for getting the most out of Rosette. These two Hackathon teams experimented with new ways for generating this data automatically.
Learn moreImproved visual annotation data model makes it easier to compare entity extractions
See how one Hackathon team created an annotation data model integrated with Rosette for easier comparison of entities.
Learn moreTackling the entity disambiguation challenge: a new approach shows promise
New research from BasisTech may improve entity disambiguation. It discusses ways for software to more easily recognize and disambiguate entities appearing in disparate data streams.
Learn moreWhat is lemmatization? Learn why this process is vital to language processing
Lemmatization — or the process of eliminating prefixes, suffixes and compounds from words to find their most essential forms — enables comprehensive searches and automatic extraction of themes from text.
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