Paper: Automatic analysis of semantic similarity in comparable text through syntactic tree matching

ACL ID C10-1085
Title Automatic analysis of semantic similarity in comparable text through syntactic tree matching
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2010
Authors

We propose to analyse semantic similar- ity in comparable text by matching syn- tactic trees and labeling the alignments according to one of five semantic simi- larity relations. We present a Memory- based Graph Matcher (MBGM) that per- forms both tasks simultaneously as a com- bination of exhaustive pairwise classifica- tion using a memory-based learner, fol- lowed by global optimization of the align- ments using a combinatorial optimization algorithm. The method is evaluated on a monolingual treebank consisting of com- parable Dutch news texts. Results show that it performs substantially above the baseline and close to the human reference.