Natural language processing

News and Updates

NIST Researcher Describes Data Considerations for Industrial Artificial Intelligence

February 1, 2025

In February 2025, NIST researcher Dr. M. Sharp published the second installment of a 4-part Manufacturing Extension Partnership (MEP) manufacturing innovation

NIST Hosts Annual Meeting for the Technical Language Processing Community of Interest

November 1, 2024

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

NIST to Host Technical Language Processing Virtual Workshop on 24-25 September 2024

July 1, 2024

NIST will hold a virtual workshop on Technical Language Processing on 24-25 September 2024. Online registration is $33.00 USD and is available via the workshop

Events

Artificial Intelligence for Materials Science (AIMS) Workshop

Wed, Jul 9 - Thu, Jul 10 2025

As part of the JARVIS workshop series, the 6th Artificial Intelligence for Materials Science (AIMS) workshop will be

Projects and Programs

A natural language processing approach to information indexing and searching

A novel root and rule-based natural language processing (NLP) approach to information indexing and searching

Ongoing

Whether at the level of the individual, team, project or program, research and engineering work must keep abreast of huge amounts of published information that might contain discoveries or needed elements for discoveries crucial to its success. We, in collaboration with Software and Systems Division

Publications

Breaking Boundaries: Investigating the Effects of Model Editing on Cross-linguistic Performance

June 17, 2024

Author(s)

Somnath Banerjee, Avik Halder, Rajarshi Mandal, Sayan Layek, Ian Soboroff, Rima Hazra, Animesh Mukherjee

The integration of pretrained language models (PLMs) like BERT and GPT has revolutionized NLP, particularly for English, but it has also created linguistic

Human-in-the-loop Technical Document Annotation: Developing and Validating a System to Provide Machine-Assistance for Domain-Specific Text Analysis

May 14, 2024

Author(s)

Juan Fung, Zongxia Li, Daniel Stephens, Andrew Mao, Pranav Goel, Emily Walpole, Alden A. Dima, Jordan Boyd-Graber

In this report, we address the following question: to what extent can machine learning assist a human with traditional text analysis, such as content analysis

Overview of TREC 2023

May 1, 2024

Author(s)

Ian Soboroff

TREC 2023 is the thirty-second edition of the Text REtrieval Conference (TREC). The main goal of TREC is to create the evaluation infrastructure required for

Improving the TENOR of Labeling: Re-evaluating Topic Models for Content Analysis

March 23, 2024

Author(s)

Zongxia Li, Andrew Mao, Jordan Boyd-Graber, Daniel Stephens, Emily Walpole, Alden A. Dima, Juan Fung

Topic models are a popular tool for understanding text collections, but their evaluation has been a point of contention. Automated evaluation metrics such as

Software

Nestor

May 23, 2019

The Nestor Graphical User Interface (GUI) is a free toolkit that helps maintainers annotate their Maintenance Work Order (MWO) data through a process called