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Tag: Entity Linking

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 […]

Rosette Cloud 1.11: New Entity Types, Hungarian Names, and Cross Language Semantics

We’re thrilled to announce the latest version of Rosette (1.11). It’s a big one — lots of exciting new features, enhancements, and improvements. We hope you’ll check it out! TL; DR check the release notes. Entities: Enhanced Extraction and Linking with New Types Rosette Entity Extraction & Linking now recognizes 700 new classes of entities […]

Provide Live Feedback to Your Entity Linking Knowledge Bases

Rosette Entity Linking adds real-time, human-in-the-loop feature to entity linking databases While entity extraction provides the foundation of data mining and information extraction systems, extracted entities only have limited value out of context. Understanding not just what entity strings are included in your data but also the real-world entity they link back to is vital […]

Understanding the Difference Between Open and Targeted Relationship Extraction

Who’s in your data, and how are they connected? You may have heard about relationship extraction and wondered what this NLP innovation is. Relationship extraction is the automated detection and classification of semantic relationships between entities in text. It goes beyond automatically adding metadata to articles, to “writing” profiles and reports about a person, place, […]

Rosette Cloud 1.9: More Languages, Higher Accuracy, and Deep Neural Nets

Rosette Cloud 1.9 is out, delivering a new language for name matching, translation, and deduplication: Thai. We’ve also added a new deep neural network model for sentiment analysis, entity extraction offsets, salience scores for topic extraction, and more. Learn more below, or jump to the release notes. Name Matching The /name-similarity, /name-translation, and /name-deduplication endpoints […]

Just the Important Entities, Please

Salience scores and linking confidence scores for extracted entities come to Rosette Cloud Data scraped from the web is often very noisy and cumbersome to work with. Sorting through it to find the most valuable information is a vital step in converting raw data into actionable insights. The release of Rosette Cloud 1.8 aims to […]

Not-So-Cheap Talk: Stocks Move Nearly 10% When Trump’s Tweets Mention Executives

Prattle is a Fintech innovator whose system started by forecasting market reactions to central bank communications. As a member of the Basis Technology startup program Prattle uses Rosette entity extraction to detect the speakers in central bank communications. They’ve since expanded to power analyses like the blog post below: Despite what the financial press might […]

Connecting to Asia with Rosette API

Latest 1.5 API release renews commitment to global data analytics We kicked off 2017 with some major updates to Rosette API (version 1.5). There are lots of  new features to play with, so we’re breaking down the key updates in a series of blog posts to share with our awesome users. One common thread among […]

Relationship discovery gets even easier with Rosette API

Rosette API 1.5 is our most ambitious update since the inception of our cloud API offering last spring, with new features, capabilities, and improvements. To help our users get the most out of the release, we’re bringing you a series of posts highlighting some of the bigger changes, starting with the introduction of targeted relationship […]

Rosette API 1.5 Released

Today we’re pleased to announce the launch of Rosette API version 1.5! Updates include new targeted relationship extraction (replacing the previous “open” relationship extraction), changes to entity linking and extraction,  improved text embeddings, and expanded support for Chinese, Japanese, Korean, and Vietnamese, including sentiment analysis for Japanese text (beta). What’s new?   Targeted Relationships The […]

Is the 2016 presidential campaign as negative as it feels?

2016 has been called the most contentious presidential campaign in US history. Is it? Rosette takes the sentiment temperature on Twitter to find out. Fervor on social media is peaking as both candidates’ approval ratings are at record breaking lows. If you’re active on any major social network, you’ve seen the surge of heated political […]