Automatic learning of textual entailments with cross-pair similarities
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Textual entailment as an evaluation framework for metaphor resolution: a proposal
STEP '08 Proceedings of the 2008 Conference on Semantics in Text Processing
A semantic approach to textual entailment: system evaluation and task analysis
RTE '07 Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
A survey of paraphrasing and textual entailment methods
Journal of Artificial Intelligence Research
The PASCAL recognising textual entailment challenge
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
VENSES – a linguistically-based system for semantic evaluation
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
Did it happen? the pragmatic complexity of veridicality assessment
Computational Linguistics
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This paper argues that local textual inferences come in three well-defined varieties (entailments, conventional implicatures/presuppositions, and conversational implicatures) and one less clearly defined one, generally available world knowledge. Based on this taxonomy, it discusses some of the examples in the Pascal text suite and shows that these examples do not fall into any of them. It proposes to enlarge the test suite with examples that are more directly related to the inference patterns discussed.