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 im-practical. We propose more efficient al-gorithms approximating Tree Kernel: Tree Overlapping and Subpath Set. These algo-rithms are more efficient than Tree Kernel because indexing is possible with practical computation resources. The results of the experiments comparing these three algo-rithms 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.
With the popularity of online educational platforms, English learners can learn and practice no matt...
With the public availability of a number of syntactically parsed text corpora, it has been increasin...
This paper introduces a method for assessing the semantic similarity between sentences, which relies...
Textual data is the main electronic form of knowledge representation. Sentences, meant as logic unit...
The textual similarity task, which measures the similarity between two text pieces, has recently rec...
In computational linguistics, large tree databases tagged with morpho-syntactic information are in n...
We propose Tree Sequence Kernel (TSK), which implicitly exhausts the structure features of a sequenc...
Combined with the problem of single direction of the solution of the existing sentence similarity al...
Meeting: 50th Annual Meeting of Association for Computational Linguistics (ACL'12)Due to copyright r...
In this paper, we extensively study the use of syntactic and semantic structures obtained with shall...
We extend the mechanism of logical generalization toward syntactic parse trees and attempt to detect...
Abstract this paper, we present three techniques for incorporating syntactic metadata in a textual ...
Natural language text corpora are often available as sets of syntactically parsed trees. A wide rang...
Convolution tree kernels are an efficient and effective method for comparing syntac-tic structures i...
Previous work on Natural Language Processing for Information Retrieval has shown the inadequateness ...
With the popularity of online educational platforms, English learners can learn and practice no matt...
With the public availability of a number of syntactically parsed text corpora, it has been increasin...
This paper introduces a method for assessing the semantic similarity between sentences, which relies...
Textual data is the main electronic form of knowledge representation. Sentences, meant as logic unit...
The textual similarity task, which measures the similarity between two text pieces, has recently rec...
In computational linguistics, large tree databases tagged with morpho-syntactic information are in n...
We propose Tree Sequence Kernel (TSK), which implicitly exhausts the structure features of a sequenc...
Combined with the problem of single direction of the solution of the existing sentence similarity al...
Meeting: 50th Annual Meeting of Association for Computational Linguistics (ACL'12)Due to copyright r...
In this paper, we extensively study the use of syntactic and semantic structures obtained with shall...
We extend the mechanism of logical generalization toward syntactic parse trees and attempt to detect...
Abstract this paper, we present three techniques for incorporating syntactic metadata in a textual ...
Natural language text corpora are often available as sets of syntactically parsed trees. A wide rang...
Convolution tree kernels are an efficient and effective method for comparing syntac-tic structures i...
Previous work on Natural Language Processing for Information Retrieval has shown the inadequateness ...
With the popularity of online educational platforms, English learners can learn and practice no matt...
With the public availability of a number of syntactically parsed text corpora, it has been increasin...
This paper introduces a method for assessing the semantic similarity between sentences, which relies...