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ICDIM
2008
IEEE
13 years 11 months ago
Sentence compression by structural conversion of parse tree
Sentence compression is the task of generating a grammatical short sentence from an original sentence, retaining important information. The existing methods of only removing the c...
Seiji Egawa, Yoshihide Kato, Shigeki Matsubara
ICAIL
2005
ACM
13 years 11 months ago
Automatic Legal Text Summarisation: Experiments with Summary Structuring
We describe a set of experiments using machine learning techniques for the task of extractive summarisation. The research is part of a summarisation project for which we use a cor...
Ben Hachey, Claire Grover
NAACL
2004
13 years 6 months ago
Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization
We consider the problem of modeling the content structure of texts within a specific domain, in terms of the topics the texts address and the order in which these topics appear. W...
Regina Barzilay, Lillian Lee
FDBS
2001
92views more  FDBS 2001»
13 years 6 months ago
Integrating Data and Probabilistically Structured Text Documents
Commercial, non-profit and public organizations are accumulating huge amounts of electronically available text documents. Although composed of unstructured texts, documents contai...
Karsten Winkler, Myra Spiliopoulou
ECIR
2006
Springer
13 years 6 months ago
Clustering Sentences for Discovering Events in News Articles
We investigate the use of clustering methods for the task of grouping the text spans in a news article that refer to the same event. We provide evidence that the order in which eve...
Martina Naughton, Nicholas Kushmerick, Joe Carthy