Article ID Journal Published Year Pages File Type
379375 Data & Knowledge Engineering 2006 17 Pages PDF
Abstract

Dialogs in formal domains, such as mathematics, are characterized by a mixture of telegraphic natural language text and embedded formal expressions. Analysis methods for this kind of setting are rare and require empirical justification due to a notorious lack of data, as opposed to the richness of presentations found in genre-specific textbooks. In this paper, we focus on interpretation techniques for major phenomena observed in a recently collected corpus of tutorial dialogs on proving mathematical theorems. We combine analysis techniques for mathematical formulas and for natural language expressions, supported by knowledge about domain-relevant lexical semantics and by representations relating informal vocabulary to precise domain terms. Interpreting these expressions in a competent manner is not only important for the use in tutorial systems, but also for supporting domain experts through improving the accessibility and usability of formal systems.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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