The 45th annual G7 Summit is set to kick off on Aug. 24 in the seaside town of Biarritz in France. For two days, leaders from the U.S., Canada, U.K., France, Italy, Germany and Japan, as well as top E.U. officials, will discuss global challenges involving foreign policy, the economy, and the protection of the environment. The aim of the meeting is to shape global responses to challenges affecting countries worldwide. The G7 countries have the largest advanced economies in the world, according to the International Monetary Fund (IMF) representing 58 percent of the global net wealth equates to $317 trillion (£260,540 billion). Here’s what you need to know about the event bringing together leaders from some of the most powerful economies in the world.
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DIMEFIL
Classify a piece of text as being related to Diplomacy, Information Operations, Military, International Economics, Illicit Finance, Intelligence, and Law Enforcement to improve situational awareness and speed and accuracy of decision-making.
Example
The International Economics DIMEFIL engine classifies data as being related to international trade and trade deals.Output
Illicit Finance:
0.25
Information:
0.16
Intelligence:
0.27
International Economics:
0.72
Available Engines
- DIMEFIL Diplomacy: Classify a piece of text as being related to diplomatic issues.
- DIMEFIL Information Operations: Classify a piece of text as being related to Information Operations.
- DIMEFIL Military: Classify a piece of text as being related to the military.
- DIMEFIL International Economics: Classify a piece of text as being related to international economics such as international trade and trade deals.
- DIMEFIL Illicit Finance: Classify a piece of text as being related to illicit finance, including money laundering, sanctions evasion, drug trafficking, and illegal methods for financing terrorist and criminal organizations.
- DIMEFIL Intelligence: Classify a piece of text as being related to intelligence agencies, operations and assessments.
- DIMEFIL Law Enforcement: Classify data as being related to law enforcement or not.
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Named Entity Recognition
Identify people, locations, and organizations within a body of text.
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Coreference Resolution
Identify who the words “he,” “she,” and “they” are referring to.
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Relation Extraction
Identify relationships between entities.
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Classifiers
Categorize any kind of text.
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Sentiment Analysis
Classify text as positive, negative, or neutral, returned as a classifier.
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Topic Modeling
Identify the topic that the text is talking about without the need for training or ontology.
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Summarization
Summarize a document to meet your needs and identify the key information.
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Key Phrase Extraction
Automatically identify and extract the key information within a document.
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Explainability
See what parts of the text the models are using for your predictions.
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Synthetic Text Detection
Classify text as likely to have been written by a human or a machine.
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Claims Detection and Dispute Resolution
Identify claims within any text and determine if these claims are supported or refute other claims.
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Jargon Detection and Explanation
Identify jargon and industry acronyms within the text and link it to an explanation of the terms.
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Quotes Attribution
Extract a quote and its author from a body of text.
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Title Generator
Generate a human-quality title or headline for a body of text.
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Question Answering
Answer specific questions about a body of text.
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DIMEFIL
Classify a piece of text as being related to Diplomacy, Information Operations, Military, International Economics, Illicit Finance, Intelligence, and Law Enforcement.
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Location Extraction
Identify all the locations in a piece of text and connect them to a map.
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Named Entity Linking
Link extracted entities with your knowledge graph or Primer’s knowledge base.
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Custom Entity Detection
Move beyond people, places, and organizations and identify other entities.
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Difference Engine
Determine the difference between two pieces of text or two versions.
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Event Detection
Identify the real world events within any piece of text.
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Event Linking
Connect events to form a timeline across your set of documents.