Clause aggregation: An approach to generating concise text.

摘要

This dissertation identifies and resolves constraints related to the task of combining related clauses to formulate fluent and concise sentences. To incorporate complex linguistic constructions into text generation systems, novel algorithms were designed to systematically generate conjunction, ellipsis, and quantification constructions. CASPER a submodule in a text generation system, was designed and implemented. It can convey the same information using fewer words by taking advantage of redundancies in the input based on syntactic, semantic, and discourse information. In addition to these symbol approaches, my research also employs corpus-based statistical approaches to enhance the fluency of the generated text. By employing advance linguistic constructions and removing redundancies through clause aggregations, the generated text or speech is more fluent and concise and thus improves human-computer interface.