Ranking for multilingual information retrieval (MLIR) is a task to rank documents of different languages solely based on their relevancy to the query regardless of query’s langu...
Anecdotal evidence suggests that story-level information is important for the speech component of video retrieval. In this paper we perform a systematic examination of the combina...
We evaluate three different relevance feedback (RF) algorithms, Rocchio, Robertson/Sparck-Jones (RSJ) and Bayesian, in the context of Web search. We use a target-testing experimen...
Vishwa Vinay, Kenneth R. Wood, Natasa Milic-Frayli...
This paper presents Multilingual Document Clustering (MDC) on comparable corpora. Wikipedia, a structured multilingual knowledge base, has been highly exploited in many monolingual...
Collaborative tagging used in online social content systems is naturally characterized by many synonyms, causing low precision retrieval. We propose a mechanism based on user pref...
Maarten Clements, Arjen P. de Vries, Marcel J. T. ...