Relational thesauri in information retrieval
Journal of the American Society for Information Science
Grammatical category disambiguation by statistical optimization
Computational Linguistics
Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
The effectiveness of a nonsyntatic approach to automatic phrase indexing for document retrieval
Journal of the American Society for Information Science
The use of term position devices in ranked output experiments
Journal of Documentation
The use of phrases and structured queries in information retrieval
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
Term position ranking: some new test results
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Pronouncing names by a combination of rule-based and case-based reasoning
Pronouncing names by a combination of rule-based and case-based reasoning
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
The relationship between recall and precision
Journal of the American Society for Information Science
Retrieval effectiveness of proper name search methods
Information Processing and Management: an International Journal
Exploiting clustering and phrases for context-based information retrieval
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Improving automatic query expansion
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
ACM Computing Surveys (CSUR)
Matching records in a national medical patient index
Communications of the ACM
A Hybrid Approach to Address Normalization
IEEE Expert: Intelligent Systems and Their Applications
Matchsimile: a flexible approximate matching tool for searching proper names
Journal of the American Society for Information Science and Technology
Fuzzy translation of cross-lingual spelling variants
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Transliteration of proper names in cross-language applications
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
A stochastic parts program and noun phrase parser for unrestricted text
ANLC '88 Proceedings of the second conference on Applied natural language processing
Computational techniques for improved name search
ANLC '88 Proceedings of the second conference on Applied natural language processing
Data-oriented methods for grapheme-to-phoneme conversion
EACL '93 Proceedings of the sixth conference on European chapter of the Association for Computational Linguistics
Word association norms, mutual information, and lexicography
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Translating names and technical terms in Arabic text
Semitic '98 Proceedings of the Workshop on Computational Approaches to Semitic Languages
Names: a new frontier in text mining
ISI'03 Proceedings of the 1st NSF/NIJ conference on Intelligence and security informatics
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Name Search is an important search function in various types of information retrieval systems, such as online library catalogs and electronic yellow pages. It is also difficult, because of the high degree of fuzziness required in matching name variants. Previous approaches to name search systems use ad hoc combinations of search heuristics. This paper first discusses two approaches to name modeling - the natural language processing (NLP) and information retrieval (IR) models - and proposes a hybrid approach. The approach demonstrates a critical combination of complementary NLP and IR features that produces more effective fuzzy name matching. Two principles, position-as-attribute and position-transition-likelihood , are introduced as the principles for integrating the advantageous aspects of both approaches. They have been implemented in an NLP- and IR-hybrid model system called Friendly Name Search (FNS) for real world applications in multilingual directory searches on the Singapore Yellow pages website.