Paper: Instance-Based Sentence Boundary Determination By Optimization For Natural Language Generation

ACL ID P05-1070
Title Instance-Based Sentence Boundary Determination By Optimization For Natural Language Generation
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2005
Authors

This paper describes a novel instance- based sentence boundary determination method for natural language generation that optimizes a set of criteria based on examples in a corpus. Compared to exist- ing sentence boundary determination ap- proaches, our work offers three signifi- cant contributions. First, our approach provides a general domain independent framework that effectively addresses sen- tence boundary determination by balanc- ing a comprehensive set of sentence com- plexity and quality related constraints. Second, our approach can simulate the characteristics and the style of naturally occurring sentences in an application do- main since our solutions are optimized based on their similarities to examples in a corpus. Third, our approach can adapt easily to suit a natural language...