Inducing multilingual text analysis tools via robust projection across aligned corpora
HLT '01 Proceedings of the first international conference on Human language technology research
Bootstrapping parsers via syntactic projection across parallel texts
Natural Language Engineering
Introduction to the CoNLL-2002 shared task: language-independent named entity recognition
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Introduction to the CoNLL-2003 shared task: language-independent named entity recognition
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Moses: open source toolkit for statistical machine translation
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Efficient approximate entity extraction with edit distance constraints
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Unsupervised named entity transliteration using temporal and phonetic correlation
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Subword variation in text message classification
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Morphological analysis by multiple sequence alignment
CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
Subword and spatiotemporal models for identifying actionable information in Haitian Kreyol
CoNLL '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning
CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
Findings of the 2011 Workshop on Statistical Machine Translation
WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
Crisis MT: developing a cookbook for MT in crisis situations
WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
Unsupervised language-independent name translation mining from Wikipedia infoboxes
EMNLP '11 Proceedings of the First Workshop on Unsupervised Learning in NLP
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
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We present a new approach to named-entity recognition that jointly learns to identify named-entities in parallel text. The system generates seed candidates through local, cross-language edit likelihood and then bootstraps to make broad predictions across both languages, optimizing combined contextual, word-shape and alignment models. It is completely unsupervised, with no manually labeled items, no external resources, only using parallel text that does not need to be easily alignable. The results are strong, with F 0.85 for purely unsupervised named-entity recognition across languages, compared to just F = 0.35 on the same data for supervised cross-domain named-entity recognition within a language. A combination of unsupervised and supervised methods increases the accuracy to F = 0.88. We conclude that we have found a viable new strategy for unsupervised named-entity recognition across low-resource languages and for domain-adaptation within high-resource languages.