Learning Information Extraction Rules for Semi-Structured and Free Text
Machine Learning - Special issue on natural language learning
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Kernel methods for relation extraction
The Journal of Machine Learning Research
Automatic acquisition of domain knowledge for Information Extraction
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Automatic pattern acquisition for Japanese information extraction
HLT '01 Proceedings of the first international conference on Human language technology research
An improved extraction pattern representation model for automatic IE pattern acquisition
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Counter-training in discovery of semantic patterns
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Dependency tree kernels for relation extraction
ACL '04 Proceedings of the 42nd 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
A shortest path dependency kernel for relation extraction
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Comparing information extraction pattern models
IEBeyondDoc '06 Proceedings of the Workshop on Information Extraction Beyond The Document
Automatically generating extraction patterns from untagged text
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
An alignment-based pattern representation model for information extraction
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
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
Filtered ranking for bootstrapping in event extraction
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
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
Extraction of contextual information from medical case research report using WordNet
COMPUTE '11 Proceedings of the Fourth Annual ACM Bangalore Conference
A local tree alignment approach to relation extraction of multiple arguments
Information Processing and Management: an International Journal
Exploiting syntactico-semantic structures for relation extraction
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Facilitating pattern discovery for relation extraction with semantic-signature-based clustering
Proceedings of the 20th ACM international conference on Information and knowledge management
Analysis and improvement of minimally supervised machine learning for relation extraction
NLDB'09 Proceedings of the 14th international conference on Applications of Natural Language to Information Systems
Minimally supervised domain-adaptive parse reranking for relation extraction
IWPT '11 Proceedings of the 12th International Conference on Parsing Technologies
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This paper presents a novel approach to the semi-supervised learning of Information Extraction patterns. The method makes use of more complex patterns than previous approaches and determines their similarity using a measure inspired by recent work using kernel methods (Culotta and Sorensen, 2004). Experiments show that the proposed similarity measure outperforms a previously reported measure based on cosine similarity when used to perform binary relation extraction.