Accession Number : AD1023419


Title :   Solutions for Coding Societal Events


Descriptive Note : Technical Report,09 Sep 2015,09 Sep 2016


Corporate Author : Raytheon BBN Technologies Corp. Cambridge United States


Personal Author(s) : Boschee,Elizabeth


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1023419.pdf


Report Date : 01 Dec 2016


Pagination or Media Count : 75


Abstract : The primary goal of the IARPA Solutions for Coding Societal Events (SCSE) seedling effort was to help with known and unknown event discovery. Discovering events from news and social media is becoming a critical source of intelligence. This effort attempted to (1) develop a prototype system for novel event discovery, (2) develop a prototype system for civil unrest event extraction, and (3) engineer BBN ACCENT (ACCurate Events from Natural Text) to support broad use by the research community.


Descriptors :   coding , clustering , ontology , machine translation , natural languages , digital data , identification systems , accuracy , experimental data , feature extraction , early warning systems , software tools


Subject Categories : Computer Programming and Software


Distribution Statement : APPROVED FOR PUBLIC RELEASE