Monday, November 13, 2023 |
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9:30am–4:00pm | | |
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Note for attendees who are participating remotely:
- On November 8, 2023, all registered virtual workshop attendees will receive login information to join the meeting remotely.
- 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.
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9:30‒10:40 | Plain Language Adaptation of Biomedical Abstracts (PLABA) | |
9:30–9:45
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Welcome and Introduction
Hoa Dang (U.S. National Institute of Standards and Technology)
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9:45–10:30
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Overview of the Plain Language Adaptation of Biomedical Abstracts (PLABA) Track
Brian Ondov (U.S. National Library of Medicine)
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10:30–10:40
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Adapting Biomedical Abstracts into Plain Language using Large Language Models
MasonNLP: Haritha Gangavarapu (CGI Inc)
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10:40–10:50 | Break | |
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10:50–12:00 | Plain Language Adaptation of Biomedical Abstracts (PLABA) | |
10:50–11:20
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BeeMan at the PLABA Track of TAC 2023: Investigating LLMs and Controllable Attributes for Improving Biomedical Text Readability
BeeMan: Lifeng Han (University of Manchester)
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11:20–11:50
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Leveraging Edit Operations in End-to-End Neural Sentence Simplification
valeknappich: Valentin Knappich (Bosch Center for Artificial Intelligence, University of Augsburg)
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11:50–12:00
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Discussion
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12:00–1:00 | Lunch | |
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1:00–1:45 | Invited Talk | |
1:00–1:45
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Beyond the Beaten Path: Expanding the Scope of IE with LLMs
Zoey Sha Li (University of Illinois at Urbana-Champaign)
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1:45–2:20 | Claim Relation Understanding and Extraction (CRUX) | |
1:45–2:10
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Overview of the Claim Relation Understanding and Extraction (CRUX) Track
Yi Fung (University of Illinois at Urbana-Champaign)
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2:10–2:20
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Exploring Chain-of-Thought Instruction Tuning for Generative Claim Frame Extraction and Claim Relation Tagging
skyline2023: Chong Shen (University of Stuttgart)
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2:20–2:30 | Break | |
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2:30–3:30 | Panel Discussion: Thoughts on LLMs 1 year after ChatGPT | |
2:30–3:30
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Panel Discussion: Thoughts on LLMs 1 year after ChatGPT
Moderator: Hoa Dang (U.S. National Institute of Standards and Technology)
Panelists: Chris Callison-Burch (University of Pennsylvania; Allen Institute for AI), Eduard Hovy (University of Melbourne; Carnegie Mellon University), Zoey Sha Li (University of Illinois at Urbana-Champaign)
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3:30–4:00 | TAC Planning/Discussion | |
3:30–4:00
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TAC Planning/Discussion
Hoa Dang and Shudong Huang (U.S. National Institute of Standards and Technology)
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