Paper: Empirically Estimating Order Constraints For Content Planning In Generation

ACL ID P01-1023
Title Empirically Estimating Order Constraints For Content Planning In Generation
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2001
Authors

In a language generation system, a content planner embodies one or more “plans” that are usually hand–crafted, sometimes through manual analysis of target text. In this paper, we present a system that we developed to automati- cally learn elements of a plan and the ordering constraints among them. As training data, we use semantically an- notated transcripts of domain experts performing the task our system is de- signed to mimic. Given the large degree of variation in the spoken language of the transcripts, we developed a novel al- gorithm to find parallels between tran- scripts based on techniques used in computational genomics. Our proposed methodology was evaluated two–fold: the learning and generalization capabil- ities were quantitatively evaluated us- ing cross validation obt...