Recognizing entailment in intelligent tutoring systems*
Natural Language Engineering
Towards Extensible Textual Entailment Engines: The EDITS Package
AI*IA '09: Proceedings of the XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia on Emergent Perspectives in Artificial Intelligence
Defining specialized entailment engines using natural logic relations
LTC'09 Proceedings of the 4th conference on Human language technology: challenges for computer science and linguistics
Towards component-based textual entailment
IWCS '11 Proceedings of the Ninth International Conference on Computational Semantics
| Hi-index | 0.00 |
This paper presents a methodology for a quantitative and qualitative evaluation of Textual Entailment systems. We take advantage of 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 propose to run TE systems over such datasets. We show that several behaviours of a system can be explained in terms of the correlation between the accuracy on monothematic pairs and the accuracy on the corresponding original pairs.