Dr. Petruck is an award-winning independent scholar, with close ties to the University of California, Berkeley, where she obtained an M.A. and a Ph.D. in linguistics, having written the first dissertation in frame semantics and the lexicon. She received a B.A. in linguistics from Stony Brook University.
Petruck is one of the co-creators of FrameNet, a cutting-edge semantic technology research and resource development project, based on frame semantics and construction grammar, the two theories in which her work is grounded. The FrameNet database provides critical information about the mapping between form and meaning in language that has proven useful in natural language processing (NLP) application development, like semantic role labeling, a necessary first step in NLP development, information extraction, and frame induction, to name a few. Her early work addressed issues of lexical semantic description and analysis, including comparative and contrastive lexicology. Recently her interests expanded to meaning representation, and knowledge base development, as well as lexical and grammatical resource development for Natural Language Processing and Natural Language Understanding.
Petruck is about to complete a manuscript about FrameNet and Natural Language Processing, a work that introduces the FrameNet project and surveys the use of FrameNet data in natural language processing (NLP) application development.
Dmitry Nikolaev, Collin Baker, Miriam R. L. Petruck, Sebastian Padó. 2023. Adverbs, Surprisingly, Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023), Association for Computational Linguistics, Toronto, pp. 512-526.
Emily Amspoker and Miriam R. L. Petruck. 2022. A gamified approach to frame semantic role labeling. Proceedings of the Fourth Workshop on Data Science with Human-in-the-Loop (Language Advances), Abu Dhabi, United Arab Emirates (Hybrid), Association for Computational Linguistics, pp. 37–42, .
Ayush Pancholy, Miriam R. L. Petruck, Swabha Swayamdipta. 2021. Sister Help: Data Augmentation for Frame-Semantic Role Labeling. Proceedings of the Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop. Association for Computational Linguistics, Punta Cana, Dominican Republic. pp.78-84.