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Entailment rules between predicates are fundamental to many semantic-inference applications. Consequently, learning such rules has been an active field of research in recent years. Methods for learnin...
Learning Entailment Relations by Global Graph Structure Optimization
Structure Optimization Entailment Relations
2015/9/10
Identifying entailment relations between predicates is an important part of applied semantic
inference. In this article we propose a global inference algorithm that learns such entailment
rules. Fir...
Textual Entailment Features for Machine Translation Evaluation
Textual Entailment Features Machine Translation Evaluation
2015/6/12
We present two regression models for the prediction of pairwise preference judgments among MT hypotheses. Both models are based on feature sets that are motivated by textual entailment and incorporate...
Robust Machine Translation Evaluation with Entailment Features
Machine Translation Evaluation Entailment Features
2015/6/12
Existing evaluation metrics for machine translation lack crucial robustness: their correlations with human quality judgments vary considerably across languages and genres. We believe that the main rea...