Similarity-Based Models of Word Cooccurrence Probabilities
Machine Learning - Special issue on natural language learning
Analysis of a very large web search engine query log
ACM SIGIR Forum
WikiRelate! computing semantic relatedness using wikipedia
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
How are we searching the World Wide Web? A comparison of nine search engine transaction logs
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
Proceedings of the International Working Conference on Advanced Visual Interfaces
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Web search engines are optimized for early precision, which makes it difficult to perform recall oriented tasks with them. In this article, we propose several ways to leverage semantic annotations and, thereby, increase the efficiency of recall oriented search tasks, with a focus on forensic investigation. Semantic annotations, such as temporal annotations, named entities, and domain context, can be used to rerank, and cluster search result sets. In addition, domain context can be used to improve recall.