Fourteenth Text Analysis Conference (TAC 2022)
Evaluation: July 2022 - January 2023
Workshop: February 3, 2023
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 Fourteenth Text Analysis Conference (TAC 2022) has two tracks:
- Recognizing Ultra Fine-grained EntitieS (RUFES)
The goal of the KBP RUFES track is to extract and corefer mentions of entities with fine-grained types in text.
Track coordinator: Hoa Dang ([email protected]) and Shudong Huang ([email protected])
Home page: https://tac.nist.gov/2022/KBP/RUFES/
Group / mailing list: [email protected]
- 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 ([email protected])
Home page: https://tac.nist.gov/2022/KBP/SM-KBP/
Group/ mailing list: [email protected]
| TAC 2022 Schedule | |
|---|---|
| July 2022 - January 2023 | Track evaluation windows (varies by track) |
| February 3, 2023 | Fourteenth TAC workshop (online) |
 | BACK to General Information about Tracks |