Loading...
Please wait, while we are loading the content...
Similar Documents
Referring-expression generation using a transformation-based learning approach.
| Content Provider | CiteSeerX |
|---|---|
| Abstract | A natural language generation system must generate expressions that allow a reader to identify the entities to which they refer. This paper describes the creation of referring-expression (RE) generation models developed using a transformation-based learning approach. We present an evaluation of the learned models and compare their performance to the performance of a baseline system, which always generates full noun phrase REs. When compared to the baseline system, the learned models produce REs that lead to more coherent natural language documents and are more accurate and closer in length to those that people use. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Transformation-based Learning Approach Referring-expression Generation Baseline System Learned Model Natural Language Generation System Coherent Natural Language Document Generation Model Full Noun Phrase Re |
| Content Type | Text |
| Resource Type | Article |
