TAC 2020 Tracks
EPIC-QA
RUFES
SM-KBP
Call for Participation
Track Registration
Reporting Guidelines
TAC 2020 Workshop
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Thirteenth Text Analysis Conference (TAC 2020)
Evaluation: August 2020 - January 2021
Workshop: February 22-23, 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:
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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
TAC 2020 Schedule |
August 2020 - January 2021 | Track evaluation windows (varies by track) |
January 15, 2021 | Deadline for registration for track participation |
January 2021 | Release of individual evaluated results to participants (most tracks) |
February 3, 2021 | Deadline for short system descriptions |
February 3, 2021 | Deadline for workshop presentation proposals |
February 8, 2021 | Notification of acceptance of presentation proposals |
February 14, 2021 | Deadline for system reports (workshop notebook version) |
February 22-23, 2021 | Thirteenth TAC workshop (online) |
April 1, 2021 | Deadline for system reports (final proceedings version) |
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