COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
A sequential algorithm for training text classifiers
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Improving Generalization with Active Learning
Machine Learning - Special issue on structured connectionist systems
Combining labeled and unlabeled data with co-training
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Relational learning of pattern-match rules for information extraction
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Wrapper induction: efficiency and expressiveness
Artificial Intelligence - Special issue on Intelligent internet systems
Hierarchical Wrapper Induction for Semistructured Information Sources
Autonomous Agents and Multi-Agent Systems
Adaptive View Validation: A First Step Towards Automatic View Detection
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
Active + Semi-supervised Learning = Robust Multi-View Learning
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
Query Learning Strategies Using Boosting and Bagging
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Selective Sampling with Redundant Views
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Learning the Common Structure of Data
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
A Mutually Beneficial Integration of Data Mining and Information Extraction
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Active learning with multiple views
Active learning with multiple views
Interactive wrapper generation with minimal user effort
Proceedings of the 15th international conference on World Wide Web
Corrective feedback and persistent learning for information extraction
Artificial Intelligence
Automatically maintaining wrappers for semi-structured web sources
Data & Knowledge Engineering
Interactive Tuples Extraction from Semi-Structured Data
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Extracting Web Data Using Instance-Based Learning
World Wide Web
From dirt to shovels: fully automatic tool generation from ad hoc data
Proceedings of the 35th annual ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Automated Semantic Analysis of Schematic Data
World Wide Web
Active learning with multiple views
Journal of Artificial Intelligence Research
Deploying information agents on the web
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Corrective feedback and persistent learning for information extraction
Artificial Intelligence
Cerno: Light-weight tool support for semantic annotation of textual documents
Data & Knowledge Engineering
Image segmentation using co-EM strategy
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
A two-view cotraining rule induction system for information extraction
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Building Mashups by Demonstration
ACM Transactions on the Web (TWEB)
Applying software analysis technology to lightweight semantic markup of document text
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
An ontology-based retrieval system using semantic indexing
Information Systems
Extracting web data using instance-based learning
WISE'05 Proceedings of the 6th international conference on Web Information Systems Engineering
Learning (k,l)-contextual tree languages for information extraction
ECML'05 Proceedings of the 16th European conference on Machine Learning
An overview and classification of adaptive approaches to information extraction
Journal on Data Semantics IV
Learning n-ary node selecting tree transducers from completely annotated examples
ICGI'06 Proceedings of the 8th international conference on Grammatical Inference: algorithms and applications
Text mining through semi automatic semantic annotation
PAKM'06 Proceedings of the 6th international conference on Practical Aspects of Knowledge Management
Web classification of conceptual entities using co-training
Expert Systems with Applications: An International Journal
Unsupervised wrapper induction using linked data
Proceedings of the seventh international conference on Knowledge capture
Query induction with schema-guided pruning strategies
The Journal of Machine Learning Research
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Multi-view learners reduce the need for labeled data by exploiting disjoint sub-sets of features (views), each of which is sufficient for learning. Such algorithms assume that each view is a strong view (i.e., perfect learning is possible in each view). We extend the multi-view framework by introducing a novel algorithm, Aggressive Co-Testing, that exploits both strong and weak views; in a weak view, one can learn a concept that is strictly more general or specific than the target concept. Aggressive Co-Testing uses the weak views both for detecting the most informative examples in the domain and for improving the accuracy of the predictions. In a case study on 33 wrapper induction tasks, our algorithm requires significantly fewer labeled examples than existing state-of-the-art approaches.