Join Us for the 2024 TLP COI Meeting and Workshop
The Technical Language Processing Community of Interest (TLP COI) in collaboration with the National Institute of Standards and Technology (NIST) cordially invites you to participate in the upcoming 2024 TLP COI Meeting and Workshop. This virtual event, spanning two days, aims to foster connections and exchange insights across all facets of the TLP Community: from researchers and developers to practitioners and consumers of TLP.
Event Focus
In an ever-evolving landscape where industry, artificial intelligence, and human-centered intelligent automation intersect with communications and language, it's crucial to stay ahead. This year’s meeting will spotlight the current landscape of language processing needs and emerging applications, with a keen focus on risk awareness, accessibility, and longevity.
Why Attend?
NIST, alongside industry and academic leaders, is proud to host this public forum to explore and learn about the emerging tools that will shape the critical technologies of the future. Our lineup of expert speakers and panelists will delve into a diverse array of topics, covering everything from current tools and best practices in utilizing and creating TLP systems to real-world TLP needs and use cases from industry, government, and academic research.
Key Highlights
Join Us!!
Don't miss out on this opportunity to engage with fellow stakeholders and contribute to the advancement of language processing technologies. Register now to reserve your place at the forefront of TLP innovation.
Topics of Interest:
DATE: Sept 24, 2024 | ||||
Start Time | End | Speaker(s) | Session Name/Information |
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10:00am | 10:30am | Michael Sharp | Welcome and Opening Remarks |
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10:30am | 11:40am | R Sexton | Goals and Perspective: What is TLP? |
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11:40am | 12:30am |
| TLP Applications in Government and Industry |
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| Roberto Sala | Improving Product-Service Systems offerings through Technical Language Processing |
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| Jamie Coble | Technical Language Processing to Support the Nuclear Power Industry |
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| Manjish Naik | Utilizing TLP to get a holistic understanding of freezer performance |
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| Nate Hertlein | LLM Quality Assessment in Design and Manufacturing |
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12:30pm | 1:30pm |
| BREAK |
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1:30pm | 2:30pm | Faez Ahmed | Generative AI for Engineering Design — Going Beyond Statistical Similarity |
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2:30pm | 3:15pm | Juan Fung | Leveraging AI and NLP for Enhanced Climate and Resilience Research: Progress and Future Directions |
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3:15pm | 5:00pm |
| Short Talks |
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| Dr. Michael Stewart | Automating Technical Text Classification using AI/NLP (Natural Language Processing) |
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| Dr. Caitlin Woods | Linked Data: The Foundations of Enterprise AI |
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| Tyler Bikaun | Garbage In, Garbage Out: Navigating Technical Text Quality –Current Challenges and Future Directions |
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| Dr. Melinda Hodkiewicz | How can AI language models deliver business value? |
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DATE: September 25 | ||||
Start Time | End | Speaker(s) | Session Name/Information |
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10:00am | 12:00pm |
| Welcome and Opening Remarks |
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| Jacob Collard | TLP For Standards |
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| Ian Soboroff | Building test collections for LLMs |
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12:30pm | 1:30pm |
| BREAK |
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1:30pm | 2:15pm | F. Ansari | Technical Language Processing in Semiconductor Manufacturing: Opportunities and Challenges |
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2:15pm | 2:45pm | M. Dawson | Text Pre-processing for Predicting Tool Wear |
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2:45pm | 3:30pm | Michael Sharp | Measuring Impacts and Risk Awareness for TLP |
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| AJ Stein | TLP Needs for Risk Assessment in Cyber Security |
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| Joshua Gen | lightning talk and panelist |
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| Udayan Das | lightning talk and panelist |
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3:30pm | 4:00pm | Peter Chung | Towards Machine-Assisted Reading and Structuring of Scientific and Technology Language |
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4:00pm | 4:45pm | Philippe Dessauw & Guillaume Sousa Amaral | A Modular Platform to Improve AI Usability for Technical Tasks |
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4:45pm | 5:00pm |
| Closing |
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