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TAC 2020 Tracks
  EPIC-QA
  RUFES
  SM-KBP
Call for Participation
Track Registration
Reporting Guidelines
TAC 2020 Workshop




Thirteenth Text Analysis Conference (TAC 2020)

Evaluation: August 2020 - December 2020
Workshop: January 25-26, 2021

Conducted by:
U.S. National Institute of Standards and Technology (NIST)

With support from:
U.S. Department of Defense (DOD)

The Text Analysis Conference (TAC) is a series of evaluation workshops organized to encourage research in Natural Language Processing and related applications, by providing a large test collection, common evaluation procedures, and a forum for organizations to share their results. TAC comprises sets of tasks known as "tracks," each of which focuses on a particular subproblem of NLP. TAC tracks focus on end-user tasks, but also include component evaluations situated within the context of end-user tasks.

The Thirteenth Text Analysis Conference (TAC 2020) has three tracks:

  • Epidemic Question Answering (EPIC-QA)
    The goal of the EPIC-QA track is to evaluate systems on their ability to provide timely and well-supported answers to questions about the disease COVID-19, its causal virus SARS-CoV-2, related coronaviruses, and the recommended response to the pandemic. Because questions arise from both experts and non-experts in the field, EPIC-QA systems are challenged to return expert-level answers as expected by the scientific and medical communities as well as answers in consumer-friendly language for the general public.
    Track coordinators: Dina Demner-Fushman (ddemner@mail.nih.gov) and Travis Goodwin (travis.goodwin@nih.gov)
    Home page: https://bionlp.nlm.nih.gov/epic_qa/
    Group / mailing list: epic-qa@list.nist.gov

  • Recognizing Ultra Fine-grained EntitieS (RUFES)
    The goal of the KBP RUFES track is to extract and corefer mentions of fine-grained entity types in text.
    Track coordinator: Heng Ji (hengji@illinois.edu) and Avirup Sil (avi@ibm.com)
    Home page: https://tac.nist.gov/2020/KBP/RUFES/
    Group / mailing list: tac-kbp@list.nist.gov

  • Streaming Multimedia Knowledge Base Population (SM-KBP)
    The goal of the SM-KBP track is to develop and evaluate technologies that extract structured Knowledge Elements (KEs) from a variety of unstructured sources in order to generate explicit alternative interpretations of events, situations, and trends in noisy, conflicting, and potentially deceptive information environments.
    Track coordinator Hoa Dang (hoa.dang@nist.gov)
    Home page: https://tac.nist.gov/2020/KBP/SM-KBP/
    Group/ mailing list: sm-kbp@list.nist.gov

    Preliminary TAC 2020 Schedule
    August - December 2020Track evaluation windows (varies by track)
    December 2020Release of individual evaluated results to participants (most tracks)
    January 15, 2021Deadline for system reports (workshop notebook version)
    January 25-26, 2021Thirteenth TAC workshop (online)
    March 1, 2021Deadline for system reports (final proceedings version)


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Last updated: Wednesday, 16-Sep-2020 09:55:44 MDT
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