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VERSION:2.0
PRODID:-//University of Liverpool Computer Science Seminar System//v2//EN
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DTSTAMP:20260601T142458Z
UID:Seminar-dept-304@lxserverM.csc.liv.ac.uk
ORGANIZER:CN=Lutz Oettershagen:MAILTO:Lutz.Oettershagen@liverpool.ac.uk
DTSTART:20121204T160000
DTEND:20121204T170000
SUMMARY:School Seminar Series
DESCRIPTION:Dr. Elena Cabrio and Dr. Serena Villata: Natural Language Arguments: Results and Challenges\n\nWith the growing use of the Social Web, an increasing number of applications\n\nfor exchanging opinions with other people are becoming available online.\n\nThese applications are widely adopted with the consequence that the number\n\nof opinions about the debated issues increases. In order to cut in on a debate,\n\nthe participants need first to evaluate the opinions in favour or against the\n\ndebated issue. Argumentation theory proposes algorithms and semantics to\n\nevaluate the set of accepted arguments, given the conflicts among them. The\n\nmain problem is how to automatically generate the arguments from the\n\nnatural language formulation of the opinions used in these applications. \n\nWe address this problem by proposing and evaluating the use of textual\n\nentailment to generate and identify the relations among the arguments. We\n\nevaluate our combined approach on a dataset extracted from Debatepedia\n\ncoupling textual entailment together with abstract bipolar argumentation to\n\nidentify and label the arguments that are accepted in the considered online\n\ndebates. Moreover, since there is not a unique interpretation of the support\n\nrelation, and in particular, different combinations of additional attacks among\n\nthe arguments involved in a support relation are proposed, we provide a data\n\ndriven analysis of the notion of support basing on these natural language\n\ndebates. \n\nWe discuss and evaluate the support relation among arguments with respect\n\nto the more specific notion of textual entailment in the natural language\n\nprocessing field, carrying out a comparative evaluation of proposals of\n\nadditional attacks on a sample of natural language arguments extracted from\n\nDebatepedia.\n\nhttps://www.csc.liv.ac.uk/research/seminars/abstract.php?id=304
LOCATION:Ashton Lecture Theatre
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