Combining labeled and unlabeled data with co-training
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Learning dictionaries for information extraction by multi-level bootstrapping
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
A non-projective dependency parser
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Unsupervised word sense disambiguation rivaling supervised methods
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Automatic acquisition of domain knowledge for Information Extraction
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
A self-learning universal concept spotter
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
Unsupervised learning of generalized names
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
A bootstrapping method for learning semantic lexicons using extraction pattern contexts
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Automatically generating extraction patterns from untagged text
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Adaptive information extraction
ACM Computing Surveys (CSUR)
Similarity of Semantic Relations
Computational Linguistics
Experiments with interactive question-answering
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
A semantic approach to IE pattern induction
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Expressing implicit semantic relations without supervision
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Cascading use of soft and hard matching pattern rules for weakly supervised information extraction
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Cross-lingual information extraction system evaluation
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Extracting information about outbreaks of infectious epidemics
HLT-Demo '05 Proceedings of HLT/EMNLP on Interactive Demonstrations
Exploring hedge identification in biomedical literature
Journal of Biomedical Informatics
Real-Time News Event Extraction for Global Crisis Monitoring
NLDB '08 Proceedings of the 13th international conference on Natural Language and Information Systems: Applications of Natural Language to Information Systems
Cluster-Centric Approach to News Event Extraction
Proceedings of the 2008 conference on New Trends in Multimedia and Network Information Systems
Textual demand analysis: detection of users' wants and needs from opinions
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Online-monitoring of security-related events
COLING '08 22nd International Conference on on Computational Linguistics: Demonstration Papers
A task-based comparison of information extraction pattern models
DeepLP '07 Proceedings of the Workshop on Deep Linguistic Processing
A local tree alignment-based soft pattern matching approach for information extraction
NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
Coupling semi-supervised learning of categories and relations
SemiSupLearn '09 Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing
An analysis of bootstrapping for the recognition of temporal expressions
SemiSupLearn '09 Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing
Comparing information extraction pattern models
IEBeyondDoc '06 Proceedings of the Workshop on Information Extraction Beyond The Document
Improving semi-supervised acquisition of relation extraction patterns
IEBeyondDoc '06 Proceedings of the Workshop on Information Extraction Beyond The Document
LoLo: a system based on terminology for multilingual extraction
IEBeyondDoc '06 Proceedings of the Workshop on Information Extraction Beyond The Document
Reducing semantic drift with bagging and distributional similarity
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Coupled semi-supervised learning for information extraction
Proceedings of the third ACM international conference on Web search and data mining
Extracting violent events from on-line news for ontology population
BIS'07 Proceedings of the 10th international conference on Business information systems
Combining relations for information extraction from free text
ACM Transactions on Information Systems (TOIS)
Inducing domain-specific semantic class taggers from (almost) nothing
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Filtered ranking for bootstrapping in event extraction
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
A two-view cotraining rule induction system for information extraction
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Journal of Artificial Intelligence Research
Semi-supervised semantic pattern discovery with guidance from unsupervised pattern clusters
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Boosting relation extraction with limited closed-world knowledge
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part II
A local tree alignment approach to relation extraction of multiple arguments
Information Processing and Management: an International Journal
Can document selection help semi-supervised learning?: a case study on event extraction
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Finding potential seeds through rank aggregation of web searches
PReMI'11 Proceedings of the 4th international conference on Pattern recognition and machine intelligence
Building support tools for Russian-language information extraction
TSD'11 Proceedings of the 14th international conference on Text, speech and dialogue
Online news event extraction for global crisis surveillance
Transactions on computational collective intelligence V
Mining the semantics of text via counter-training
EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
Discovering patterns from ontology-derived texts
ICADL'05 Proceedings of the 8th international conference on Asian Digital Libraries: implementing strategies and sharing experiences
Editorial: Occupation inference through detection and classification of biographical activities
Data & Knowledge Engineering
Large-Scale learning of relation-extraction rules with distant supervision from the web
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
Towards content-level coherence with aspect-guided summarization
ACM Transactions on Speech and Language Processing (TSLP)
Coupling as Strategy for Reducing Concept-Drift in Never-ending Learning Environments
Fundamenta Informaticae - Cognitive Informatics and Computational Intelligence: Theory and Applications
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This paper presents a method for unsupervised discovery of semantic patterns. Semantic patterns are useful for a variety of text understanding tasks, in particular for locating events in text for information extraction. The method builds upon previously described approaches to iterative unsupervised pattern acquisition. One common characteristic of prior approaches is that the output of the algorithm is a continuous stream of patterns, with gradually degrading precision.Our method differs from the previous pattern acquisition algorithms in that it introduces competition among several scenarios simultaneously. This provides natural stopping criteria for the unsupervised learners, while maintaining good precision levels at termination. We discuss the results of experiments with several scenarios, and examine different aspects of the new procedure.