Abstract. We investigates the effectiveness of language-dependent approaches to document retrieval, such as stemming and decompounding, and constrast them with language-independen...
Jaap Kamps, Christof Monz, Maarten de Rijke, B&oum...
We may view documents, not only as “containers” for information, but also as active participants in organizing and sustaining communities. This paper discusses our experiences...
We define the problem of decomposing human-written summary sentences and propose a novel Hidden Markov Model solution to the problem. Human summarizers often rely on cutting and ...
We present an approach to information retrieval based on context distance and morphology. Context distance is a measure we use to assess the closeness of word meanings. This conte...
Keyphrases provide semantic metadata that summarize and characterize documents. This paper describes Kea, an algorithm for automatically extracting keyphrases from text. Kea ident...
Ian H. Witten, Gordon W. Paynter, Eibe Frank, Carl...