Name
Abstract | ||
|---|---|---|
This paper proposes a system of retrieving English sentences by utilizing linguistically structural information. The user's query consists of a sequence of keywords. The system automatically identifies dependency relations between occurrences of the keywords in sentences amid classifies the sentences according to those dependency relations. The system provides a simple and intuitive keyword-based interface and realizes linguistically sophisticated sentence retrieval. We conducted an experiment to evaluate the accuracy of the system. The results demonstrate that the system provides high accuracy. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICDIM.2008.4746762 | 2008 THIRD INTERNATIONAL CONFERENCE ON DIGITAL INFORMATION MANAGEMENT, VOLS 1 AND 2 |
Keywords | Field | DocType |
probability density function,information retrieval,pattern matching,classification algorithms,natural language processing,xml,accuracy,query languages,interpolation,layout | Data mining,Query language,Computer science,Interpolation,Artificial intelligence,Natural language processing,XML,Information retrieval,Dependency structure,Statistical classification,Pattern matching,Probability density function,Sentence | Conference |
Citations | PageRank | References |
1 | 0.36 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yoshihide Kato | 1 | 22 | 8.15 |
| Seiji Egawa | 2 | 1 | 1.04 |
| Shigeki Matsubara | 3 | 179 | 43.41 |
| Yasuyoshi Inagaki | 4 | 243 | 44.27 |