The nature of statistical learning theory
The nature of statistical learning theory
Machine Learning
Combining labeled and unlabeled data with co-training
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Snowball: extracting relations from large plain-text collections
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Enhancing Supervised Learning with Unlabeled Data
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Extracting Patterns and Relations from the World Wide Web
WebDB '98 Selected papers from the International Workshop on The World Wide Web and Databases
A Maximum-Entropy-Inspired Parser
A Maximum-Entropy-Inspired Parser
Kernel methods for relation extraction
The Journal of Machine Learning Research
Unsupervised word sense disambiguation rivaling supervised methods
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Scaling to very very large corpora for natural language disambiguation
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Chunking with support vector machines
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Understanding the Yarowsky Algorithm
Computational Linguistics
Combining labeled and unlabeled data for learning cross-document structural relationships
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
Exploring various knowledge in relation extraction
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Relation extraction using label propagation based semi-supervised learning
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Unsupervised relation disambiguation using spectral clustering
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Exploring hedge identification in biomedical literature
Journal of Biomedical Informatics
Computer Speech and Language
Unsupervised relation disambiguation with order identification capabilities
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Semi-supervised relation extraction with label propagation
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Semi-supervised learning for semantic relation classification using stratified sampling strategy
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
PORE: positive-only relation extraction from wikipedia text
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Clustering-based stratified seed sampling for semi-supervised relation classification
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
A cross-lingual annotation projection approach for relation detection
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Semi-supervised semantic pattern discovery with guidance from unsupervised pattern clusters
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Semi-supervised relation extraction with large-scale word clustering
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Developing Position Structure-Based Framework for Chinese Entity Relation Extraction
ACM Transactions on Asian Language Information Processing (TALIP)
Harvesting facts from textual web sources by constrained label propagation
Proceedings of the 20th ACM international conference on Information and knowledge management
Semi-supervised learning for relation extraction in Vietnamese text
Proceedings of the Second Symposium on Information and Communication Technology
Relation extraction using support vector machine
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Mining inter-entity semantic relations using improved transductive learning
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
A domain-independent approach to finding related entities
Information Processing and Management: an International Journal
A graph-based cross-lingual projection approach for weakly supervised relation extraction
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
Active learning for relation type extension with local and global data views
Proceedings of the 21st ACM international conference on Information and knowledge management
Cross-Lingual Annotation Projection for Weakly-Supervised Relation Extraction
ACM Transactions on Asian Language Information Processing (TALIP)
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This paper approaches the relation classification problem in information extraction framework with bootstrapping on top of Support Vector Machines. A new bootstrapping algorithm is proposed and empirically evaluated on the ACE corpus. We show that the supervised SVM classifier using various lexical and syntactic features can achieve promising classification accuracy. More importantly, the proposed BootProject algorithm based on random feature projection can significantly reduce the need for labeled training data with only limited sacrifice of performance.