Paper: Leveraging Structural Relations for Fluent Compressions at Multiple Compression Rates

ACL ID P09-2026
Title Leveraging Structural Relations for Fluent Compressions at Multiple Compression Rates
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2009
Authors

Prior approaches to sentence compression have taken low level syntactic constraints into account in order to maintain grammaticality. We propose and successfully evaluate a more comprehensive, generalizable feature set that takes syntactic and structural relationships into account in order to sustain variable compres- sion rates while making compressed sentences more coherent, grammatical and readable.