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 ...
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...
This position paper advocates a possible bridging of multiple heterogeneous formats and interfaces for hypermedia data and metadata. Rather than one more text, bit-stream or proced...
Abstract. For document-centric work, meta-information in form of annotations has proven useful to enhance search and other retrieval tasks. The Mymory project1 uses a web-based wor...
Malte Kiesel, Sven Schwarz, Ludger van Elst, Georg...
As users of social networking websites expand their network of friends, they are often flooded with newsfeed posts and status updates, most of which they consider to be understand...
Tim Paek, Michael Gamon, Scott Counts, David Maxwe...