The effect of assessor error on IR system evaluation
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
IR system evaluation using nugget-based test collections
Proceedings of the fifth ACM international conference on Web search and data mining
Constructing test collections by inferring document relevance via extracted relevant information
Proceedings of the 21st ACM international conference on Information and knowledge management
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The Live Nugget Extractor system provides users with a method of efficiently and accurately collecting relevant information for any web query rather than providing a simple ranked lists of documents. The system utilizes an online learning procedure to infer relevance of unjudged documents while extracting and ranking information from judged documents. This creates a set of judged and inferred relevance scores for both documents and text fragments, which can be used for test collections, summarization, and other tasks where high accuracy and large collections with minimal human effort are needed.