An Algorithm that Learns What‘s in a Name
Machine Learning - Special issue on natural language learning
Information Resources Management Journal
Nymble: a high-performance learning name-finder
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
NE recognition without training data on a language you don't speak
MultiNER '03 Proceedings of the ACL 2003 workshop on Multilingual and mixed-language named entity recognition - Volume 15
ACM Transactions on Asian Language Information Processing (TALIP)
Extreme extraction: machine reading in a week
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
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Empirical results are presented for creating training data and training a statistical name learning algorithm on Cebuano and Hindi in roughly three weeks time. The empirical study compares performance in a compressed time frame against performance of the same statistical language model in English (where there was no compressed time frame). Rapid development of several co-reference heuristics in Hindi are also described, and co-reference performance in Hindi is compared to previously developed English techniques.