Entailment, intensionality and text understanding
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Negation, contrast and contradiction in text processing
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It's a contradiction---no, it's not: a case study using functional relations
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AI*IA '09: Proceedings of the XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia on Emergent Perspectives in Artificial Intelligence
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EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
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ACM Transactions on Asian Language Information Processing (TALIP) - Special Issue on RITE
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In this paper we investigate the relation between positive and negative pairs in Textual Entailment (TE), in order to highlight the role of contradiction in TE datasets. We base our analysis on the decomposition of Text-Hypothesis pairs into monothematic pairs, i.e. pairs where only one linguistic phenomenon at a time is responsible for entailment judgment and we argue that such a deeper inspection of the linguistic phenomena behind textual entailment is necessary in order to highlight the role of contradiction. We support our analysis with a number of empirical experiments, which use current available TE systems.