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
Snowball: extracting relations from large plain-text collections
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Unsupervised named-entity extraction from the web: an experimental study
Artificial Intelligence
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
Named entity recognition through classifier combination
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
A robust risk minimization based named entity recognition system
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
A high-performance semi-supervised learning method for text chunking
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Weakly-supervised discovery of named entities using web search queries
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Unsupervised Discovery of Compound Entities for Relationship Extraction
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
Joint Extraction of Compound Entities and Relationships from Biomedical Literature
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Named entity recognition for Ukrainian: a resource-light approach
ACL '07 Proceedings of the Workshop on Balto-Slavonic Natural Language Processing: Information Extraction and Enabling Technologies
Turning web text and search queries into factual knowledge: hierarchical class attribute extraction
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Semi-supervised learning of semantic classes for query understanding: from the web and for the web
Proceedings of the 18th ACM conference on Information and knowledge management
Character-level analysis of semi-structured documents for set expansion
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Czech named entity corpus and SVM-based recognizer
NEWS '09 Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration
A novel approach to automatic gazetteer generation using Wikipedia
People's Web '09 Proceedings of the 2009 Workshop on The People's Web Meets NLP: Collaboratively Constructed Semantic Resources
Named entities in Czech: annotating data and developing NE tagger
TSD'07 Proceedings of the 10th international conference on Text, speech and dialogue
Chinese named entity recognition with inducted context patterns
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Learning 5000 relational extractors
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Experiments in graph-based semi-supervised learning methods for class-instance acquisition
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
SEISA: set expansion by iterative similarity aggregation
Proceedings of the 20th international conference on World wide web
Enabling information extraction by inference of regular expressions from sample entities
Proceedings of the 20th ACM international conference on Information and knowledge management
A framework for biological event extraction from text
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
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We present a novel context pattern induction method for information extraction, specifically named entity extraction. Using this method, we extended several classes of seed entity lists into much larger high-precision lists. Using token membership in these extended lists as additional features, we improved the accuracy of a conditional random field-based named entity tagger. In contrast, features derived from the seed lists decreased extractor accuracy.