Fourteenth Text Analysis Conference (TAC 2022)

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)

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