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- W2291001349 abstract "In the latest years, a number of real world applications have underlined the need to move from Textual Entailment (TE) pairs to TE graphs where pairs are no more independent. Moving from single pairs to a graph has the advantage of providing an overall view of the issue discussed in the text, but this may lead to possible inconsistencies due to the combination of the TE pairs into a unique graph. In this paper, we adopt argumentation theory to support human annotators in detecting the possible sources of inconsistencies." @default.
- W2291001349 created "2016-06-24" @default.
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- W2291001349 date "2015-01-01" @default.
- W2291001349 modified "2023-10-15" @default.
- W2291001349 title "Inconsistencies Detection in Bipolar Entailment Graphs" @default.
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- W2291001349 doi "https://doi.org/10.4000/books.aaccademia.1327" @default.
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