Mining Sequential Patterns: Generalizations and Performance Improvements
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
PrefixSpan: Mining Sequential Patterns Efficiently by Prefix-Projected Pattern Growth
ICDE '01 Proceedings of the 17th International Conference on Data Engineering
Unsupervised named-entity extraction from the web: an experimental study
Artificial Intelligence
Answering relationship queries on the web
Proceedings of the 16th international conference on World Wide Web
Measuring semantic similarity between words using web search engines
Proceedings of the 16th international conference on World Wide Web
Language-Independent Set Expansion of Named Entities Using the Web
ICDM '07 Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
Searching coordinate terms with their context from the web
WISE'06 Proceedings of the 7th international conference on Web Information Systems
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We propose a method for finding an intermediate entity between two examples on the Web. For example, a user wants to find events that occurred between the Battle of Red Cliffs and the death of Cao Cao. In this situation, the user wants to find something intermediate between two events, processes, or objects. We first describe the problem of finding an entity between two examples. We then propose a method for extracting an intermediate entity between two inputs using a Web search engine. The method focuses on the positions of words in Web pages and then extracts words that are likely to appear between the two inputs. Finally, we show the usefulness of our method based on experiments.