AIDA Scenario 1 Practice Topic Source Data

Item Name: AIDA Scenario 1 Practice Topic Source Data
Author(s): Jennifer Tracey, Stephanie Strassel, Jeremy Getman, Ann Bies, Kira Griffitt, David Graff, Christopher Caruso
LDC Catalog No.: LDC2023T11
ISLRN: 039-139-038-220-6
DOI: https://doi.org/10.35111/pbed-b924
Release Date: October 16, 2023
Member Year(s): 2023
DCMI Type(s): MovingImage, Software, Sound, StillImage, Text
Sample Type: mpeg
Sample Rate: 44100 Hz
Data Source(s): discussion forum, newswire, web collection, weblogs
Project(s): AIDA
Application(s): entity extraction, information extraction
Language(s): Russian, Ukrainian, English
Language ID(s): rus, ukr, eng
License(s): LDC User Agreement for Non-Members
Online Documentation: LDC2023T11 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Tracey, Jennifer, et al. AIDA Scenario 1 Practice Topic Source Data LDC2023T11. Web Download. Philadelphia: Linguistic Data Consortium, 2023.
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Introduction

AIDA Scenario 1 Practice Topic Source Data was developed by the Linguistic Data Consortium (LDC) and is comprised of 1511 root documents (text, image, and video) from English, Russian, and Ukrainian web sources.

The DARPA AIDA (Active Interpretation of Disparate Alternatives) program aimed to develop a multi-hypothesis semantic engine to generate explicit alternative interpretations of events, situations and trends from a variety of unstructured sources. LDC supported AIDA by collecting, creating and annotating multimodal linguistic resources in multiple languages.

Each phase of the AIDA program centered on a specific scenario, or broad topic area, with related subtopics designated as either practice subtopics or evaluation subtopics. The Phase 1 scenario focused on political relations between Russia and Ukraine in the 2010s. This corpus constitutes the full set of topic-focused documents for Phase 1 practice subtopics. 

Data

Data was collected from web sources by a combination of automatic and manual processes. HTML content was converted from its original form into XML. To the extent possible, all resources referenced by a given "root" HTML page (style sheets, javascript, images, media files, etc.) were stored as separate files of the given data type and assigned separate 9-character file-IDs (the same form of ID used for the "root" HTML page).

The knowledge base for entity detection and linking annotation for all AIDA Scenario 1 and 2 corpora is available separately as AIDA Scenario 1 and 2 Reference Knowledge Base (LDC2023T10).

Sponsorship

This material is based upon work supported by Air Force Research Laboratory (AFRL) and the Defense Advanced Research Projects Agency (DARPA) under Contract No. FA8750-18-C-0013.

Samples

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Updates

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