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TAC 2023
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TAC 2022
(Virtual Meeting)
All times are Eastern US (UTC-5)

Friday, February 3, 2023
  • On February 02, 2023, all registered workshop attendees will receive an email with the BlueJeans Meetings link and instructions to join the virtual meeting.
    • When possible, please plan to connect to BlueJeans Meetings via the app for a more reliable connection: https://www.bluejeans.com/downloads
    • If you join by a browser, MAC users please note that Safari is not supported.
    • BlueJeans works best in Google Chrome and other Chrome-based browsers.
  • The TAC workshop includes talks, discussions, and planning sessions for TAC tracks. Participants may sometimes cite specific vendors and commercial products, but the inclusion or omission of a particular company or product implies neither endorsement nor criticsm by NIST. Any opinions, findings, and conclusions or recommendations expressed are the participants' own words and do not necessarily reflect those of the sponsors.
  • 9:00–10:40Session I: Combating Misinformation and Disinformation
    9:00–9:10 Welcome and Introduction
    Hoa Dang (U.S. National Institute of Standards and Technology)
    9:10–9:40 Before An Information Dystopia
    Wael Abd-Almageed (Information Sciences Institute, University of Southern California)
    9:40–10:10 SmartBook Construction: Multimodal Multilingual Claim Extraction, Summarization, Verification and Correction
    Heng Ji (University of Illinois at Urbana-Champaign; Amazon Alexa AI)
    10:10–10:40 On Detecting the Multiple Faces of Perceived Truth in Conflicts
    Tarek Abdelzaher (University of Illinois at Urbana-Champaign)
    11:30–1:00Session II: Combating Misinformation and Disinformation
    11:30–12:00 Partisanship and Mistrust of Science in the Era of Covid-19
    Kristina Lerman (Information Sciences Institute, University of Southern California)
    12:00–1:00 Panel Discussion: Understanding the nature of accurate vs. inaccurate and authentic vs. potentially inauthentic news/discourse
    Moderator: Wil Corvey (U.S. Defense Advanced Research Projects Agency)
    Panelists: Smaranda Muresan (Columbia University), Preslav Nakov (Mohamed bin Zayed University of Artificial Intelligence), Andreas Vlachos (University of Cambridge), Diyi Yang (Stanford University)
    1:30–3:00Session III: Large Language Models
    1:30–3:00 Panel Discussion: What can't be done by LLMs?
    Moderator: Hoa Dang (U.S. National Institute of Standards and Technology)
  • Eduard Hovy (University of Melbourne; Carnegie Mellon University) [slides]
  • Chris Callison-Burch (University of Pennsylvania; Allen Institute for AI) [slides]
  • Kyunghyun Cho (New York University; Genentech) [slides]
  • Heng Ji (University of Illinois at Urbana-Champaign; Amazon Alexa AI) [slides]
  • Graham Neubig (Carnegie Mellon University; Inspired Cognition) [slides]
  • Dan Roth (University of Pennsylvania) [slides]
  • 3:00–3:30Break
    3:30–5:00Session IV: TAC 2022/2023 tracks -- organizers' report/planning/discussion
    3:30–4:00 SM-KBP: Streaming Multimedia Knowledge Base Population (2022)
    Hoa Dang (U.S. National Institute of Standards and Technology)
    4:00–4:30 RUFES: Recognizing Ultra Fine-grained Entities (2022-2023)
    Shudong Huang (U.S. National Institute of Standards and Technology)
    4:30–5:00 PLABA: Plain Language Adaptation of Biomedical Abstracts (2023)
    Brian Ondov and Dina Demner Fushman (U.S. National Library of Medicine)

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    Last updated: Friday, 24-Feb-2023 15:16:16 MST
    Comments to: tac-web@nist.gov