Traditional research on spelling correction in natural language processing and information retrieval literature mostly relies on pre-defined lexicons to detect spelling errors. Bu...
We are developing a corpus-based approach for the prediction of help-desk responses from features in customers’ emails, where responses are represented at two levels of granular...
Clustering web search engine results for ambiguous keyword searches poses unique challenges. First, we show that one cannot readily import the frequency based feature ranking to c...
This paper proposes a three-stage analysis of web navigation that yields search results being relevant to the user’s interests and preferences. The approach is inspired by ant fo...
This paper presents an algorithm for unsupervised noun sense induction, based on clustering of Web search results. The algorithm does not utilize labeled training instances or any...
Goldee Udani, Shachi Dave, Anthony Davis, Tim Sibl...