This Project Grant award of $400,000.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will support the development of automated technologies to extract high-quality, trustworthy scientific information from massive text data collections. The project aims to create a new paradigm for scientific information extraction that eliminates the need for costly expert annotations while achieving expert-level accuracy. Key innovations include...
This $174,408 project grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE: CFDA 47.070) program aims to develop an automated ontology generation system that can extract valuable knowledge from data produced during software engineering life cycles. The project at Charleston Southern University will leverage large language models to automatically generate ontologies that enable intelligent reasoning for software development tasks, such as...
This Project Grant award from the National Science Foundation (NSF) Division of Computing and Communication Foundations, under CFDA Program #47.070 "Computer and Information Science and Engineering", provides $300,000 to the University of Illinois to develop natural language processing (NLP) models that can simplify the development and maintenance of software tests (NLP4TEST). The key objectives are to create NLP models for tasks such as test generation, completion, update, and...
This Project Grant, awarded by the National Science Foundation Division of Information and Intelligent Systems, provides $599,871 to Emory University from August 1, 2023 to July 31, 2026. The funding supports collaborative research at the intersection of machine learning, bioinformatics, and molecular biology. The project aims to advance algorithmic research using principled protein language models (PLMs) to gain deeper insight into the structural, functional, and evolutionary organization of...
This Project Grant award from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070) provides $499,948 to Iowa State University of Science and Technology to develop an adaptable and flexible information extraction framework. The goal is to enable automated extraction of structured information from unstructured scientific literature without relying on costly expert annotations. The...
This Project Grant award of $300,000 from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports a study at Georgetown University to develop an evaluation methodology for measuring the impacts of implementing large language model (LLM)-based tools to assist human experts working in federal, state, and local government programs. The project will compare the performance of LLM-only, human-only, and human-LLM hybrid responses across key metrics...
This Project Grant award from the National Science Foundation (NSF) under the Integrative Activities program (CFDA 47.083) will support the development of novel deep generative models and algorithms for analyzing and visualizing scientific texts. The $224,036 award to New Mexico State University (NMSU) will fund a fellowship for an assistant professor and graduate student training. The project aims to create algorithms that model the intent, topics, and embeddings within scientific documents, as...
This National Science Foundation (NSF) Project Grant, awarded under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program, provides $353,434 to Harrisburg University of Science & Technology to conduct research on semantic priming effects across 45 languages. The research project aims to advance understanding of how word relationships influence language processing in humans and large language models. The researchers will build a large-scale dataset to analyze semantic priming...
This Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $268,067 to develop advanced speech technologies and create educational resources for language research and learning. The project addresses critical language needs by leveraging automatic speech recognition, text-to-speech, and other speech technologies to bridge the gap between linguistic research and practical application. Key activities include developing...
This Project Grant award from the National Science Foundation's (NSF) Division of Information and Intelligent Systems (CFDA 47.070 - Computer and Information Science and Engineering) provides $599,948 to George Mason University, doing business as Mason, to advance algorithmic research at the intersection of information integration and informatics using principled protein language models (PLMs) as computational vehicles. The key objectives of this 3-year project are to: (1) encode prior...