Extracting causation knowledge from natural language texts
International Journal of Intelligent Systems
Counter-training in discovery of semantic patterns
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Automatically generating extraction patterns from untagged text
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Gene ontology classification of biomedical literatures using context association
AIRS'05 Proceedings of the Second Asia conference on Asia Information Retrieval Technology
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We propose a framework for constructing semantic features for textual documents from tackling the problem of abstracting information in document representation. Semantic patterns are discovered from ontology-derived texts which provide rich contextual information regarding the concepts. The patterns represent the syntactic and semantic relationships implied in the textual documents which can help in extracting and representing the underlying concepts in texts. We also investigate the significance of using the patterns in automatic summarization of biomedical articles.