O’Hara and Wiebe (2009) provide an inventory of semantic relations derived from the frame elements of FrameNet, along with a mapping identifying what was done for semantic roles occurring at least 50 times. They also discuss a number of other schemes for identifying a set of basic semantic relations or roles. Marquez et al. (2008) also discuss the nature of semantic roles , particularly noting the lack of agreement among linguistic researchers. In all these cases, a common thread is that researcher’s judgment has been used to develop these basic inventories. While these inventories appear to be reasonable, I would like something more data-driven. I suggest that the frame-to-frame relations in the FrameNet database can be used as the basis for a more principled identification of primitive frame elements. The methods I suggest use a digraph analysis of a dictionary of frame elements constructed out of individual mappings developed in the FrameNet project itself.
Current electronic dictionaries are presently little more than transcriptions of paper dictionaries. To be sure, they have a lot more information than is present in the print versions. But, they are not really designed to support natural language processing. The major needs of the future are: (1) a set of instances illustrating each sense of an entry; (2) sufficient structured information to permit disambiguation to reach each sense; and (3) a representation of the meaning of each sense for use in NLP. (more…)
A construction pattern attempts to characterize the usage of each sense in such a way that it can be used to disambiguate among the several senses of a word. Constructions are becoming more widely used, as described in Atkins & Rundell, The Oxford Guide to Practical Lexicography. The authors describe patterns for verbs, nouns, adjectives, and adverbs, but they do not describe such patterns for prepositions.