Yeh et al., 2009 - Google Patents
WikiWalk: random walks on Wikipedia for semantic relatednessYeh et al., 2009
View PDF- Document ID
- 4442623008039380574
- Author
- Yeh E
- Ramage D
- Manning C
- Agirre E
- Soroa A
- Publication year
- Publication venue
- Proceedings of the 2009 workshop on graph-based methods for natural language processing (TextGraphs-4)
External Links
Snippet
Computing semantic relatedness of natural language texts is a key component of tasks such as information retrieval and summarization, and often depends on knowledge of a broad range of real-world concepts and relationships. We address this knowledge integration …
- 238000000034 method 0 abstract description 7
Classifications
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- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30634—Querying
- G06F17/30657—Query processing
- G06F17/30675—Query execution
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- G06—COMPUTING; CALCULATING; COUNTING
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- G06F17/30705—Clustering or classification
- G06F17/30707—Clustering or classification into predefined classes
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- G06F17/27—Automatic analysis, e.g. parsing
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- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30861—Retrieval from the Internet, e.g. browsers
- G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
- G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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- G06F17/2765—Recognition
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- G06F17/30705—Clustering or classification
- G06F17/3071—Clustering or classification including class or cluster creation or modification
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