Structuring Knowledge for Reference Generation: A Clustering Algorithm

This paper discusses two problems that arise in the Generation of Referring Expressions: (a) numeric-valued attributes, such as size or location; (b) perspective-taking in reference. Both problems, it is argued, can be resolved if some structure is imposed on the available knowledge prior to content determination. We describe a clustering algorithm which is sufficiently general to be applied to these diverse problems, discuss its application, and evaluate its performance.

• Type: Conference
• Year: 2006
• Where: EACL
• Authors: Albert Gatt
• Keywords: Available Knowledge, Clustering Algorithm, EACL 2006, Natural Language Processing, Numeric-valued Attributes