DIRT @SBT@discovery of inference rules from text
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Medical Language Processing: Computer Management of Narrative Data
Medical Language Processing: Computer Management of Narrative Data
Discovering relations among named entities from large corpora
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Preemptive information extraction using unrestricted relation discovery
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Extracting Semantic Networks from Text Via Relational Clustering
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
The CoNLL-2009 shared task: syntactic and semantic dependencies in multiple languages
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning: Shared Task
Open information extraction from the web
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Transducing logical relations from automatic and manual GLARF
ACL-IJCNLP '09 Proceedings of the Third Linguistic Annotation Workshop
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Template-based information extraction without the templates
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
A generative model for unsupervised discovery of relations and argument classes from clinical texts
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Structured relation discovery using generative models
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Automatic relation extraction with model order selection and discriminative label identification
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
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A precondition for extracting information from large text corpora is discovering the information structures underlying the text. Progress in this direction is being made in the form of unsupervised information extraction (IE). We describe recent work in unsupervised relation extraction and compare its goals to those of grammar discovery for science sublanguages. We consider what this work on grammar discovery suggests for future directions in unsupervised IE.