Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
Due to the enormous size of the web and low precision of user queries, finding the right information from the web can be difficult if not impossible. One approach that tries to ...
In web search, recency ranking refers to ranking documents by relevance which takes freshness into account. In this paper, we propose a retrieval system which automatically detect...
Anlei Dong, Yi Chang, Zhaohui Zheng, Gilad Mishne,...
The basic aim of the model proposed here is to automatically build semantic metatext structure for texts that would allow us to search and extract discourse and semantic informati...
Semantic web researchers tend to assume that XML Schema and OWL-S are the correct means for representing the types, structure, and semantics of XML data used for documents and int...
Andruid Kerne, Zachary O. Toups, Blake Dworaczyk, ...