Proposer's Day Announcement - Human Interpretable Attribution of Text using Underlying Structure (HIATUS) program.

Agency:
State: District of Columbia
Type of Government: Federal
Category:
  • 13 - Ammunitions and Explosives
  • A - Research and development
  • R - Professional, Administrative and Management Support Services
Posted: Jan 14, 2022
Due: Jan 14, 2022
Publication URL: To access bid details, please log in.
Proposer's Day Announcement - Human Interpretable Attribution of Text using Underlying Structure (HIATUS) program.
Active
Contract Opportunity
Notice ID
Related Notice
Department/Ind. Agency
General Information
  • Contract Opportunity Type: Special Notice (Updated)
  • All Dates/Times are: (UTC-05:00) EASTERN STANDARD TIME, NEW YORK, USA
  • Updated Published Date: Jan 14, 2022 10:58 am EST
  • Original Published Date: Dec 23, 2021 02:32 pm EST
  • Updated Response Date: Jan 14, 2022 11:59 am EST
  • Original Response Date: Jan 14, 2022 12:00 am EST
  • Inactive Policy: 15 days after response date
  • Updated Inactive Date:
  • Original Inactive Date:
  • Initiative:
    • None
Classification
  • Original Set Aside:
  • Product Service Code:
  • NAICS Code:
  • Place of Performance:
    DC 20511
    USA
Description

***UPDATE: REGISTRATION 14 JAN 2022 AT 11:59 AM EST. SAME DAY REGISTRATION NOT ACCEPTED. The link to Register is: https://www.client-meeting.net/hiatus-conference



______________________________________



HIATUS Proposers’ Day Wednesday, 19 January 2022 from 10:30am to 5:00pm EST



REGISTRATION: PARTICIPANTS MUST REGISTER BY 14 JAN 2022 AT NOON EST. SAME DAY REGISTRATION NOT ACCEPTED. The link to Register is: https://www.client-meeting.net/hiatus-conference



Teaming Information forms are attached.



Questions about this announcement can be emailed to: dni-iarpa-hiatus-proposersday@iarpa.gov



Overview



The Human Interpretable Attribution of Text using Underlying Structure (HIATUS) Proposer's Day will introduce potential proposers to the program and provide information on technical requirements and program objectives. HIATUS seeks to develop novel human-useable AI systems for attributing authorship and protecting author privacy through identification and leveraging of explainable linguistic fingerprints. The program will develop novel techniques to generate representations that capture author-level linguistic variation and will use these representations to build human-interpretable algorithms to perform authorship attribution and ensure author privacy (i.e., via removal of author-identifying characteristics from text). Successful technical approaches will be scalable across diverse topic domains, genres and languages.




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