FrameNet Lexical Database: Presenting a Few Frames Within the Risk Domain
This paper gives a short overview of the frame semantics theory that forms the theoretical basis of the Berkeley FrameNet project. We present the basic concepts of this database, as well as the possibility of implementing it in Serbian. We also take a close look at the lexical analysis used in the FrameNet development project and point out the differences between the frame-based lexical analysis and its word-based counterpart. This is followed by an illustration of a couple of related frames evoked by words from the risk domain. FrameNet data is also readily available through the Python API included in the NLTK (Natural Language Toolkit) suite, which provides a good natural language processing resource. The last chapter shows a corpus search of the noun risk in a mining-themed corpus. We also present its most common collocates, word sketch, individual pattern concordances, thesaurus entry of its synonyms and related words, collocation frequency graphs. A word cloud for the word risk is also included.