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TAC 2017 Tracks
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Call for Participation
Track Registration
Reporting Guidelines
TAC 2017 Workshop

Call for Participation

Text Analysis Conference (TAC 2017)


Track Evaluations: February - October 2017
Workshop: November 13-14, 2017

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

With support from:
U.S. Department of Defense


The Text Analysis Conference (TAC) is a series of shared tasks, evaluations and workshops organized to promote 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 multiple tracks, each of which focuses on a particular subproblem of NLP. TAC tracks aim to improve end-user tasks, but also include diagnostic and component evaluations situated within the context of end-user tasks.

TAC 2017 has six tracks in two reseach areas:

  1. Knowledge Base Population (KBP)
  2. Adverse Drug Reaction Extraction from Drug Labels (ADR)

You are invited to participate in TAC 2017. Organizations may choose to participate in any or all of the TAC tracks. NIST will provide test data for each track, and track participants will run their NLP systems on the data and return their results to NIST for evaluation. The annual conference culminates in a November workshop at NIST in Gaithersburg, Maryland, USA.

All results submitted to NIST are archived on the TAC web site, and all evaluations of submitted results are included in the conference proceedings. Dissemination of TAC work and results other than in the conference proceedings is welcomed, but the conditions of participation specifically preclude any advertising claims based on TAC results.


TAC 2017 has six tracks in two major areas:

  • Adverse Drug Reaction Extraction from Drug Labels (ADR)
    The purpose of this track is to test various natural language approaches for their information extraction performance on adverse drug reactions (ADR). Participants will be provided with mention-, relation-, and document-level annotations in order to extract structured ADR information from the Food and Drug Administration's (FDA) official pharmaceutical knowledge base.
    Track coordinator: Kirk Roberts (Kirk.Roberts@uth.tmc.edu)
    Home page: https://bionlp.nlm.nih.gov/tac2017adversereactions/
    Mailing list: tac-adr@googlegroups.com

  • Knowledge Base Population (KBP)
    KBP tracks develop technologies for building and populating knowledge bases (KBs) from unstructured text. In addition to the main end-to-end KB construction task in the Cold Start KB track, component tasks are offered in 4 tracks that focus on specific components of the KB:
    • Cold Start KB (CSKB): The Cold Start KB track builds a knowledge base from scratch using a given document collection and knowledge base schema. The KB schema includes entities, events, and relations involving entities and events, including entity attributes (aka slots), event arguments, and sentiment between entities.
    • Entity Discovery and Linking (EDL): The Entity Discovery and Linking track aims to extract entity mentions from a source collection of textual documents and link them to a reference KB; an EDL system is also required to cluster mentions for those entities that don't have corresponding KB entries.
    • Slot Filling (SF): The Slot Filling task is to search a document collection to fill in values for predefined slots (attributes) for a given entity.
    • Event: The goal of the Event track is to extract information about events such that the information would be suitable as input to a knowledge base. The track includes Event Nugget (EN) tasks to detect and link events, and Event Argument (EAL) tasks to extract event arguments and link arguments that belong to the same event.
    • Belief and Sentiment (BeSt): The Belief and Sentiment track detects belief and sentiment of an entity toward another entity, relation, or event.
    Home page: https://tac.nist.gov/2017/KBP/
    Mailing list: tac-kbp@nist.gov


Organizations wishing to participate in any of the TAC 2017 tracks are invited to register online by June 15, 2017 at:

Participants are advised to register and submit all required agreement forms as soon as possible in order to receive timely access to track resources, including any sample and training data. Participants should also make sure they are subscribed to the mailing lists for the tracks for which they are registered. Registration for a track does not commit you to participating in the track, but is helpful to know for planning. Late registration will be permitted only if resources allow.

Any questions about conference participation may be sent to the TAC project manager: tac-manager@nist.gov.


The TAC 2017 workshop will be held November 13-14, 2017, in Gaithersburg, Maryland, USA. The TAC workshop is a forum both for presentation of results (including failure analyses and system comparisons), and for more lengthy system presentations describing techniques used, experiments run on the data, and other issues of interest to researchers in NLP.


    TAC 2017 Schedule
    February 20Track registration opens
    June 15Deadline for registration for track participation
    June - OctoberTrack evaluation windows (varies by track)
    By mid OctoberRelease of individual evaluated results to participants (most tracks)
    October 15Deadline for short system descriptions
    October 15Deadline for workshop presentation proposals
    October 20Notification of acceptance of presentation proposals
    November 1Deadline for system reports (workshop notebook version)
    November 13-14TAC 2017 workshop in Gaithersburg, Maryland, USA
    February 2018Deadline for system reports (final proceedings version)

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Last updated: Tuesday, 25-Apr-2017 13:21:08 EDT
Comments to: tac-web@nist.gov