AIDA Scenario 3 Practice Topic Source Data and Annotation

Full Official Name: AIDA Scenario 3 Practice Topic Source Data and Annotation
Submission date: Jan. 28, 2025, 2:51 p.m.

AIDA Scenario 3 Practice Topic Source Data and Annotation (LDC2025T02) was developed by the Linguistic Data Consortium (LDC) and is comprised of English, Russian and Spanish web documents (text, video, image) and annotations. 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 3 scenario focused on the COVID-19 global pandemic. This corpus contains source documents and annotations for the Scenario 3 practice topics. Source documents were collected from the web 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 corpus contains 1417 root documents; 279 documents were annotated. Annotations include: Event, releation and entity annotation (64 documents) Claim frame annotation: claims (true or not) relating to the COVID-19 pandemic (203 documents) Practice topic query claim frames: example claim frames intended to be used by systems as queries to extract similar claims from additional documents (30 documents) Claim frame annotations were produced by LDC; University of Colorado Boulder; Johns Hopkins University; Language Technologies Institute, Carnegie Mellon University; and Univeristy of Illinois Urbana-Champaign. Annotations are presented as tab separated files.

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