Better Twitter Summaries?
Joel Judd and Jugal Kalita
This paper describes an approach to improve summaries for a collection of
Twitter posts created using the Phrase Reinforcement (PR) Algorithm (Sharifi et
al. 2010). The PR algorithm often generates summaries with excess text and
noisy speech. We parse these summaries using a dependency parser and use the
dependencies to eliminate some of the excess text and build better-formed
summaries. We compare the results to those obtained using the PR Algorithm.
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