Performance enhancement of Hierarchical Document Signature: A comprehensive study

摘要

Hierarchical Document Signature (HDS) has been successfully applied in document computing to find similarity between different pieces of text [1], [2], [3]; for example sentence-sentence similarity, sentence-phrase similarity. HDS is application specific, it is dependent on different features at different levels. This paper hence presents a comprehensive study of enhancement of the performance of HDS to find semantic sentence similarity by tuning some of its significant features. The experimental results support this and show the optimal conditions at which HDS performs similarly to humans.