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
Textual entailment recognition based on dependency analysis and wordnet
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
Textual Entailment Recognition Based on Structural Isomorphism
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
SyMSS: A syntax-based measure for short-text semantic similarity
Data & Knowledge Engineering
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This paper describes the experiments developed and the results obtained in the participation of UNED in the Third Recognising Textual Entailment (RTE) Challenge. The experiments are focused on the study of the effect of named entities in the recognition of textual entailment. While Named Entity Recognition (NER) provides remarkable results (accuracy over 70%) for RTE on QA task, IE task requires more sophisticated treatment of named entities such as the identification of relations between them.