JOURNAL ARTICLE

Efficient sentence retrieval based on syntactic structure

Abstract

This paper proposes an efficient method of sentence retrieval based on syntactic structure. Collins proposed Tree Kernel to calculate structural similarity. However, structual retrieval based on Tree Kernel is not practicable because the size of the index table by Tree Kernel becomes impractical. We propose more efficient algorithms approximating Tree Kernel: Tree Overlapping and Subpath Set. These algorithms are more efficient than Tree Kernel because indexing is possible with practical computation resources. The results of the experiments comparing these three algorithms showed that structural retrieval with Tree Overlapping and Subpath Set were faster than that with Tree Kernel by 100 times and 1,000 times respectively.

Keywords:
Tree kernel Computer science Kernel (algebra) Tree (set theory) Tree structure Search engine indexing Artificial intelligence Trie Sentence Data structure Algorithm Kernel method Kernel embedding of distributions Mathematics Discrete mathematics Combinatorics Binary tree

Metrics

6
Cited By
0.00
FWCI (Field Weighted Citation Impact)
5
Refs
0.11
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Semantic Web and Ontologies
Physical Sciences →  Computer Science →  Artificial Intelligence

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