Category: Rosette Cloud

How to Write Annotation Guidelines for Entity Extraction

Writing annotation guidelines for entity extraction for adverse media screening in financial compliance As much as we love to think our machine learning algorithms are the most important part of training up a model, they need human-annotated data to get started, which also — very importantly — are the benchmark for evaluating a model’s accuracy. […]

Rosette 1.17.0 Release: Hebrew Name Translation, French Semantic Similarity, Robust Address Matching

Recent Rosette® Cloud and Enterprise releases (1.17.0, 1.16.1) bring expanded language coverage to name translation and semantic similarity, and ease of use to the address matching capability within Rosette Name Indexer. We have also made improvements to Arabic-Arabic and Arabic-English name matching, as well as better morphological analysis in various languages. Hebrew name translation Name […]

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 […]

Rosette 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 entities in Wikidata and DBpedia, entity extraction Rosette will ultimately link to multiple knowledge bases, including Thomson Reuters open PermID. PermID covers a […]

How 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 breaking down step by step how data annotation works. How Entity Annotation Works It should come as no surprise that an entity extractor requires a […]

Natural Language Processing Search Engines

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 with a look at the role AI plays in modern search engines. Introduction to Natural Language Processing and Search Engines Modern search results are remarkable. […]