566 citations · 620 across the 5 of their papers we have counts for
5 papers
Issues in Stacked Generalization
K. M. Ting, I. H. Witten
Stacked generalization is a general method of using a high-level model to combine lower-level models to achieve greater predictive accuracy. In this paper we address two crucial is…
Mining Meaning from Wikipedia
Olena Medelyan, David Milne, Catherine Legg +1
Wikipedia is a goldmine of information; not just for its many readers, but also for the growing community of researchers who recognize it as a resource of exceptional scale and uti…
Using compression to identify acronyms in text
Stuart Yeates, David Bainbridge, Ian H. Witten
Text mining is about looking for patterns in natural language text, and may be defined as the process of analyzing text to extract information from it for particular purposes. In p…
KEA: Practical Automatic Keyphrase Extraction
Ian H. Witten, Gordon W. Paynter, Eibe Frank +2
Keyphrases provide semantic metadata that summarize and characterize documents. This paper describes Kea, an algorithm for automatically extracting keyphrases from text. Kea identi…
Identifying Hierarchical Structure in Sequences: A linear-time algorithm
C. G. Nevill-Manning, I. H. Witten
SEQUITUR is an algorithm that infers a hierarchical structure from a sequence of discrete symbols by replacing repeated phrases with a grammatical rule that generates the phrase, a…