A hierarchical approach to wrapper induction
Proceedings of the third annual conference on Autonomous Agents
Authoritative sources in a hyperlinked environment
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
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
Proceedings of the 11th international conference on World Wide Web
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 cluster algorithm for graphs
A cluster algorithm for graphs
Algorithms for estimating relative importance in networks
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Web-scale information extraction in knowitall: (preliminary results)
Proceedings of the 13th international conference on World Wide Web
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
Discovering relations among named entities from large corpora
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
ACLdemo '04 Proceedings of the ACL 2004 on Interactive poster and demonstration sessions
WordNet::Similarity: measuring the relatedness of concepts
HLT-NAACL--Demonstrations '04 Demonstration Papers at HLT-NAACL 2004
BioNoculars: extracting protein-protein interactions from biomedical text
BioNLP '07 Proceedings of the Workshop on BioNLP 2007: Biological, Translational, and Clinical Language Processing
Exploiting background knowledge to build reference sets for information extraction
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Mutual Screening Graph Algorithm: A New Bootstrapping Algorithm for Lexical Acquisition
AIRS '09 Proceedings of the 5th Asia Information Retrieval Symposium on Information Retrieval Technology
Graph mutual reinforcement based bootstrapping
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Automated translation of semantic relationships
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Constructing reference sets from unstructured, ungrammatical text
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Filtering and clustering relations for unsupervised information extraction in open domain
Proceedings of the 20th ACM international conference on Information and knowledge management
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Information Extraction (IE) is the task of extracting knowledge from unstructured text. We present a novel unsupervised approach for information extraction based on graph mutual reinforcement. The proposed approach does not require any seed patterns or examples. Instead, it depends on redundancy in large data sets and graph based mutual reinforcement to induce generalized "extraction patterns". The proposed approach has been used to acquire extraction patterns for the ACE (Automatic Content Extraction) Relation Detection and Characterization (RDC) task. ACE RDC is considered a hard task in information extraction due to the absence of large amounts of training data and inconsistencies in the available data. The proposed approach achieves superior performance which could be compared to supervised techniques with reasonable training data.