Snowball: extracting relations from large plain-text collections
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Extracting Patterns and Relations from the World Wide Web
WebDB '98 Selected papers from the International Workshop on The World Wide Web and Databases
Fast Random Walk with Restart and Its Applications
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
Espresso: leveraging generic patterns for automatically harvesting semantic relations
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Semantic taxonomy induction from heterogenous evidence
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Language-Independent Set Expansion of Named Entities Using the Web
ICDM '07 Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
WebTables: exploring the power of tables on the web
Proceedings of the VLDB Endowment
Iterative Set Expansion of Named Entities Using the Web
ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
A context pattern induction method for named entity extraction
CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
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
Unsupervised named-entity extraction from the Web: An experimental study
Artificial Intelligence
Unsupervised named-entity recognition: generating gazetteers and resolving ambiguity
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
Coupled semi-supervised learning for information extraction
Proceedings of the third ACM international conference on Web search and data mining
From information to knowledge: harvesting entities and relationships from web sources
Proceedings of the twenty-ninth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
SEISA: set expansion by iterative similarity aggregation
Proceedings of the 20th international conference on World wide web
WebSets: extracting sets of entities from the web using unsupervised information extraction
Proceedings of the fifth ACM international conference on Web search and data mining
Bootstrapping biomedical ontologies for scientific text using NELL
BioNLP '12 Proceedings of the 2012 Workshop on Biomedical Natural Language Processing
Collectively representing semi-structured data from the web
AKBC-WEKEX '12 Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction
Wikipedia entity expansion and attribute extraction from the web using semi-supervised learning
Proceedings of the sixth ACM international conference on Web search and data mining
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Set expansion refers to expanding a partial set of "seed" objects into a more complete set. One system that does set expansion is SEAL (Set Expander for Any Language), which expands entities automatically by utilizing resources from the Web in a language-independent fashion. In this paper, we illustrated in detail the construction of character-level wrappers for set expansion implemented in SEAL. We also evaluated several kinds of wrappers for set expansion and showed that character-based wrappers perform better than HTML-based wrappers. In addition, we demonstrated a technique that extends SEAL to learn binary relational concepts (e.g., "x is the mayor of the city y") from only two seeds. We also show that the extended SEAL has good performance on our evaluation datasets, which includes English and Chinese, thus demonstrating language-independence.