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ERIC Number: ED480135
Record Type: Non-Journal
Publication Date: 2003-Apr
Pages: 28
Abstractor: N/A
Reference Count: N/A
Automatic Item Generation via Frame Semantics: Natural Language Generation of Math Word Problems.
Deane, Paul; Sheehan, Kathleen
This paper is an exploration of the conceptual issues that have arisen in the course of building a natural language generation (NLG) system for automatic test item generation. While natural language processing techniques are applicable to general verbal items, mathematics word problems are particularly tractable targets for natural language general techniques. The problem is to have a method for representing verbal content that can play a dual role, serving both as a representation of the generic conceptual structure that appears to be critical for mathematics word problems and that can provide the basis for natural language generation. An excellent candidate for this purpose can be found in Frame Semantics, a linguistic theory of word meaning that appears to have exactly the needed properties. Each type of mathematics word problem appears to make systematic use of a specific semantic frame. Distance-rate-time problems provide an excellent illustration of the principles involved. The analytical methods outlined in this paper have been used as the basis for the construction of a prototype NLG, Model Creator, that supports the automatic item generation of distance-rate-time problems. The paper describes the prototype system and notes its potential. The real power of NLG for automatic item generation will come when language resources can be relinked and reused, but even it its current form, it offers considerable power and flexibility for generating new items in a controlled manner. (Contains 68 references.) (SLD)
Publication Type: Reports - Descriptive; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A