Arabic Content Extraction
ClearForest, a provider of text-driven business intelligence solutions, has been recognized by the National Institute of Standards and Technology (NIST), an agency of the U.S. Commerce Department’s Technology Administration, for Arabic language performance in Automatic Content Extraction (ACE). In 2002, ClearForest noted it also ranked highest in NIST’s ACE evaluation for the English language.
The ACE program recognizes organizations that make significant advances in automatic content extraction technology, streamlining the processing of source language in text form from three source types: newswire, broadcast news and newspaper. ACE technology is aimed at supporting various classification, filtering, and selection applications by extracting and representing language content [i.e. meaning conveyed by data]. Top performance in ACE evaluations requires the development of technologies that automatically detect and characterize this meaning.
ClearForest participated in two primary ACE recognition tasks – Entity Detection and Recognition and Entity Mention Detection. These tasks require software solutions capable of processing language data in documents and then to output, for each document, information about entities, relations and events contained within. Examples of entity types include: Person, Organization, Geo-Political Entity, Location, Facility, Weapon and Vehicle.
Following ACE specifications and guidelines, ClearForest ranked highest in ability to detect entities from within a variety of Arabic documents, distinguish between entity types, and merge selected information into a unified representation for each detected relationship (i.e. cross reference multiple mentions of the same entity from within a single document).
“ClearForest’s rules-based approach to semantic tagging and extensive pattern-matching capabilities, coupled with its ability to weigh textual features such as morphological properties, syntactic structures and lexicons enabled us to outperform all other entrants,” said Rafi Vasserman, vice president of research and development at ClearForest. “Participation in the ACE evaluation directly benefits our customers—they know they’ve selected “best-of-breed” technology that has been rigorously evaluated by the U.S. National Institute of Standards and Technology.”
ClearForest said its solutions provide a complete suite of information extraction and analysis tools that enable companies to turn free-text into a valuable source of business intelligence. The company provided the following additional information about its tools:
ClearForest Tags: Sophisticated tool set for accurate tagging and categorization of text
ClearForest Industry Modules: Deep industry-specific tagging and analytics capabilities to meet market requirements for custom expertise
ClearForest Analytics: An analytic system specifically designed for text analysis that adds value to organizations' existing business intelligence tools
Delicious
Digg
Reddit
Magnoliacom
Newsvine
Furl
Google
Yahoo
Technorati
Comments
Post new comment