Viewing morphology as an inference process
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Phonetic string matching: lessons from information retrieval
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Applications of approximate word matching in information retrieval
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
An Algorithm that Learns What‘s in a Name
Machine Learning - Special issue on natural language learning
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
A Soundex-Based Approach for Spoken Document Retrieval
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Phonetic models for generating spelling variants
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Improved IR in cohesion model for link detection system
ICDM'07 Proceedings of the 7th industrial conference on Advances in data mining: theoretical aspects and applications
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In this paper we highlight the problems that arise due to variations of spellings of names that occur in text, as a result of which links between two pieces of text where the same name is spelt differently may be missed. The problem is particularly pronounced in the case of ASR text. We propose the use of approximate string matching techniques to normalize names in order to overcome the problem. We show how we could achieve an improvement if we could tag names with reasonable accuracy in ASR.