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On 24-25 September 2024, NIST hosted the annual meeting for the Technical Language Processing Community of Interest (TLP COI). This year’s meeting centered on the current landscape of language processing needs and emerging applications, with a focus on risk awareness, accessibility, and longevity.
TLP, a method by which tools for natural language processing are tailored to engineering use cases, is critical for the implementation of efficient and accurate Artificial Intelligence (AI) tools by not just enterprise and industry leaders, but any stakeholder in a field with domain-specific or context heavy language. NIST joined with industry practitioners and academics to create the TLP COI with the goal of sharing best practices related to human-generated language in technical domains at every stage of the process: development, deployment, adaptation, and evaluation.
The event featured standalone presentations on many topics, including: the use of generative AI in engineering design; applying language processing to improve climate and resilience research; structuring scientific and technology language using machine-assisted techniques; and using TLP to extract relationships between standards.
In addition, a set of lightning talks by government and industry speakers described how they were applying TLP in their domain, such as maintenance and engineering design. On the following day, panelists from the fields of cybersecurity, AI, and the wireless spectrum spoke to the impacts and risks related to TLP.
Missed the event? No worries! A recording is available on the event page.
Looking to attend a future conference? The TLP COI has started to plan next year’s event, and please be on the lookout for future communications. Until then, you can engage with the community through GitHub discussions (where you can also find a collection of TLP resources), or on the TLP COI Slack instance, which you can join by emailing tlp-coi [at] nist.gov (tlp-coi[at]nist[dot]gov).