26630 can you spot a liar

... more informative than a baseline summary One-sided t-test, 95% level of significance Factor input summarizer length input: summarizer input: length summarizer:length DF 28 11 306 84 33 Sum of squares ... derive characteristics of inputs difficult for summarization, we first confirm that indeed expected performance is influenced by the input itself We performed analysis of variance for DUC 2001 data, ... indicator of difficultly of the input: systems achieve low coverage for difficult sets and higher coverage for easy sets Since we are interested in identifying characteristics of generally difficult inputs...

... and punctuation sequences (e.g a comma, or a closing quote mark followed by a period) are treated as separate features Method 3.1 Standard text classification approach 3.2 Targeted lexical features ... that informal language is much more common to satirical articles We measure the informality of an article as: def ∑ s(t) i = |T | t∈T Lexical approaches are clearly inadequate if we assume that ... Table The baseline is a naive classifier that assigns all instances to the positive where ¯ and σ are, respectively, the mean and stani dard deviation of i across all articles http://search.cpan.org/perldoc?...

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