Approximate tree matching in the presence of variable length don't cares
Journal of Algorithms
An Algorithm for Finding the Largest Approximately Common Substructures of Two Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine learning and data mining
Communications of the ACM
The structure of shared forests in ambiguous parsing
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Extraction of complex index terms in non-English IR: A shallow parsing based approach
Information Processing and Management: an International Journal
Hi-index | 0.00 |
We present a proposal intended to demonstrate the applicability of tabulation techniques for detecting approximately common patterns when dealing with structures sharing some common parts. This sharing saves on the space needed to represent the structures and also on their later processing, by factorizing the filtering of substructure matching. As a consequence, preliminary experimental tests indicate a reduction of the running time.