Using Shallow Semantic Parsing and Relation Extraction for Finding Contradiction in Text

@inproceedings{Pham2013UsingSS,
  title={Using Shallow Semantic Parsing and Relation Extraction for Finding Contradiction in Text},
  author={Minh Quang Nhat Pham and Minh Le Nguyen and Akira Shimazu},
  booktitle={IJCNLP},
  year={2013}
}
Finding contradiction text is a fundamental problem in natural language understanding. Previous work on finding contradiction in text incorporate information derived from predicate-argument structures as features in supervised machine learning frameworks. In contrast to previous work, we combine shallow semantic representations derived from semantic role labeling with binary relations extracted from sentences in a rule-based framework. Evaluation experiments conducted on standard data sets… CONTINUE READING
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