Database techniques for the World-Wide Web: a survey
ACM SIGMOD Record
Scaling question answering to the Web
Proceedings of the 10th international conference on World Wide Web
On the MSE robustness of batching estimators
Proceedings of the 33nd conference on Winter simulation
Extracting Patterns and Relations from the World Wide Web
WebDB '98 Selected papers from the International Workshop on The World Wide Web and Databases
Using syntactic dependency as local context to resolve word sense ambiguity
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Web-scale information extraction in knowitall: (preliminary results)
Proceedings of the 13th international conference on World Wide Web
Extracting relations from large text collections
Extracting relations from large text collections
InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
Index structures for efficiently searching natural language text
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
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This paper presents an overview of our work for searching and retrieving facts and relationships within natural language text sources. In this work, an extraction task over a text collection is expressed as a query that combines text fragments with wild cards, and the query result is a set of facts in the form of unary, binary and general n-ary tuples. Despite being both simple and declarative, the framework can be applied to a wide range of extraction tasks. This paper presents an overview of the work and its various components. We also report some of our experiments and an evaluation of the proposed querying framework in extracting relevant information to a task.