Name
Abstract | ||
|---|---|---|
We present an overview of Amalgam, a sentence realization module that combines machine-learned and knowledge- engineered components to produce natural language sentences from logical form in- puts. We describe the decomposition of the task of sentence realization into a lin- guistically informed series of steps, with particular attention to the linguistic issues that arise in German. We report on the evaluation of component steps and of the overall system. |
Year | Venue | Keywords |
|---|---|---|
2002 | INLG | natural language,machine learning,logical form,knowledge engineering |
Field | DocType | Citations |
Computer science,Logical form,Natural language,Artificial intelligence,Natural language processing,Sentence,German | Conference | 20 |
PageRank | References | Authors |
1.59 | 12 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Simon Corston-Oliver | 1 | 349 | 25.25 |
| Michael Gamon | 2 | 1484 | 89.50 |
| Eric Ringger | 3 | 328 | 21.57 |
| Robert C. Moore | 4 | 2432 | 646.93 |