Paper: Dependency-Based Sentence Alignment For Multiple Document Summarization

ACL ID C04-1064
Title Dependency-Based Sentence Alignment For Multiple Document Summarization
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2004
Authors

In this paper, we describe a method of automatic sentence alignment for building extracts from ab- stracts in automatic summarization research. Our method is based on two steps. First, we introduce the “dependency tree path” (DTP). Next, we calcu- late the similarity between DTPs based on the ESK (Extended String Subsequence Kernel), which con- siders sequential patterns. By using these proce- dures, we can derive one-to-many or many-to-one correspondences among sentences. Experiments us- ing different similarity measures show that DTP consistently improves the alignment accuracy and that ESK gives the best performance.