Career
His expertise includes theoretical and computational modeling of language, specifically: Computational linguistics, Lexical semantics, Knowledge representation, temporal and spatial reasoning and Extraction. His main topics of research are Natural language processing generally, and in particular, the computational analysis of linguistic meaning. Pustejovsky proposed Generative Lexicon theory in lexical semantics.
His other interests include temporal reasoning, event semantics, spatial language, language annotation, computational linguistics, and machine learning.
Pustejovsky"s research group"s current projects include the TimeML and International Organization for Standardization-Space projects. The TimeML project is a standard markup language for temporal events in a document, and has recently been adopted as International Organization for Standardization-TImeML by the International Organization for Standardization. International Organization for Standardization-Space is an International Organization for Standardization-directed effort to create an expressive specification for the representation of spatial information in language.
His previous work included the Medstract project, an effort to extract information from medical documents using current natural language processing technology.
