FrameNet and FunGramKB

This chapter presents a comparison between FunGramKB, a multipurpose lexico-conceptual base for Natural Language Processing (NLP) systems, and FrameNet, a lexical resource for English whose objective is to document the range of semantic and syntactic combinatory possibilities of each sense of a word. After providing the reader with an overview of the two resources under scrutiny, we address their similarities and differences by focusing on the following issues: (1) methodology; (2) information at the lexical and conceptual levels; (3) relations between frames and concepts; (4) information management; and (5) multilingualism. To illustrate this comparison, we analyze how the verb dry is represented in each project.