Computational Generation of Referring Expressions Containing Relational Descriptions
Date
2013
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Swarthmore College. Dept. of Linguistics
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Thesis (B.A.)
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Full copyright to this work is retained by the student author. It may only be used for non-commercial, research, and educational purposes. All other uses are restricted.
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Abstract
Referring expressions like the tall red cup are used to identify entities in many
different language tasks, so referring expression generation (REG) is a crucial part
of computational natural language generation. One of the challenges of REG is
relational descriptions that refer to an object by relating it to some other object,
as in the cup on the table. This paper presents a new computational algorithm,
DR-REG, for referring expression generation using relational descriptions. DRREG
generates relational referring expressions for complex objects by searching
through syntactic and semantic information for a suitable expression. DR-REG
is evaluated in a controlled experiment that shows its referring expressions lead
readers to correctly identify a target object.