Semi-supervised Named Entity Recognition: Learning to recognize 100 entity types with little supervision
Named Entity Recognition (NER) aims to extract and to classify rigid designators in text such as proper names, biological species, and temporal expressions. There has been growing interest in this field of research since the early 1990s. In this thesis, we document a trend moving away from handcraft...
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| Format: | Others |
| Language: | en |
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University of Ottawa (Canada)
2013
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| Online Access: | http://hdl.handle.net/10393/29684 http://dx.doi.org/10.20381/ruor-19854 |