Nested Named Entity Recognition in Historical Archive Text

@article{Byrne2007NestedNE,
  title={Nested Named Entity Recognition in Historical Archive Text},
  author={Kate Byrne},
  journal={International Conference on Semantic Computing (ICSC 2007)},
  year={2007},
  pages={589-596}
}
This paper describes work on Named Entity Recognition (NER), in preparation for Relation Extraction (RE), on data from a historical archive organisation. As is often the case in the cultural heritage domain, the source text includes a high percentage of specialist terminology, and is of very variable quality in terms of grammaticality and completeness. The NER and RE tasks were carried out using a specially annotated corpus, and are themselves preliminary steps in a larger project whose aim is… CONTINUE READING
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