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 :

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