An Algorithm that Learns What‘s in a Name
Machine Learning - Special issue on natural language learning
Advances in the BBN BYBLOS OCR System
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Nymble: a high-performance learning name-finder
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Extracting Caller Information from Voicemail
Information Retrieval Techniques for Speech Applications [this book is based on the workshop “Information Retrieval Techniques for Speech Applications”, held as part of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in New Orleans, USA, in September 2001].
Performance evaluation for text processing of noisy inputs
Proceedings of the 2005 ACM symposium on Applied computing
Information extraction from voicemail
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical named entity recognizer adaptation
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Question Answering on a case insensitive corpus
MultiSumQA '03 Proceedings of the ACL 2003 workshop on Multilingual summarization and question answering - Volume 12
Summarization of noisy documents: a pilot study
HLT-NAACL-DUC '03 Proceedings of the HLT-NAACL 03 on Text summarization workshop - Volume 5
Robust named entity extraction from large spoken archives
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Optical character recognition errors and their effects on natural language processing
Proceedings of the second workshop on Analytics for noisy unstructured text data
A survey of types of text noise and techniques to handle noisy text
Proceedings of The Third Workshop on Analytics for Noisy Unstructured Text Data
Improving mention detection robustness to noisy input
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Extracting person names from diverse and noisy OCR text
AND '10 Proceedings of the fourth workshop on Analytics for noisy unstructured text data
The effect of noise in automatic text classification
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Name extraction and formal concept analysis
ICCS'11 Proceedings of the 19th international conference on Conceptual structures for discovering knowledge
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
The effects of OCR error on the extraction of private information
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
Empirical evaluation of semi-automated XML annotation of text documents with the GoldenGATE editor
ECDL'07 Proceedings of the 11th European conference on Research and Advanced Technology for Digital Libraries
LAW VI '12 Proceedings of the Sixth Linguistic Annotation Workshop
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In this paper, we analyze the performance of name finding in the context of a variety of automatic speech recognition (ASR) systems and in the context of one optical character recognition (OCR) system. We explore the effects of word error rate from ASR and OCR, performance as a function of the amount of training data, and for speech, the effect of out-of-vocabulary errors and the loss of punctuation and mixed case