NIL-UCM: Most-Frequent-Value-First Attribute Selection and Best-Scoring-Choice Realization
暂无分享,去创建一个
The NIL entry for the challenge has been constructed upon the general architecture for developing Natural Language Generation systems provided by the TAP project (Gervas, 2007). TAP (Text Arranging Pipeline) is a set of interfaces that define generic functionality for a pipeline of tasks oriented toward natural language generation, from an initial conceptual input to surface realization as a string, with intervening stages of content planning and sentence planning.
[1] Pablo Gervás,et al. NIL: attribute selection for matching the task corpus using relative attribute groupings obtained from the test data , 2007, MTSUMMIT.
[2] Robert Dale,et al. A Fast Algorithm for the Generation of Referring Expressions , 1992, COLING.