Nested Named Entity Recognition in Historical Archive Text

12 years 10 months ago
Nested Named Entity Recognition in Historical Archive Text
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 to transform discovered relations into a graph structure that can be queried using standard tools. Experimental results from the NER task are described, with emphasis on dealing with nested entities using a multi-word token method. The overall objective is to improve access by non-specialist users to a valuable cultural resource.
Kate Byrne
Added 04 Jun 2010
Updated 04 Jun 2010
Type Conference
Year 2007
Authors Kate Byrne
Comments (0)