Paper: Prenominal Modifier Ordering via Multiple Sequence Alignment

ACL ID N10-1085
Title Prenominal Modifier Ordering via Multiple Sequence Alignment
Venue Human Language Technologies
Session Main Conference
Year 2010
Authors

Producing a fluent ordering for a set of prenominal modifiers in a noun phrase (NP) is a problematic task for natural lan- guage generation and machine translation systems. We present a novel approach to this issue, adapting multiple sequence alignment techniques used in computa- tional biology to the alignment of modi- fiers. We describe two training techniques to create such alignments based on raw text, and demonstrate ordering accuracies superior to earlier reported approaches.