Paper Info
Title
Towards the Annotation of Named Entities in the National Corpus of Polish
Abstract
We present the named entity annotation task within the on-going project of the National Corpus of Polish. To the best of our knowledge, this is the first attempt at a large-scale corpus annotation of Polish named entities. We describe the scope and the TEI-inspired hierarchy of named entities admitted for this task, as well as the TEI-conformant multi-level stand-off annotation format. We also discuss some methodological strategies including the annotation of embedded, coordinated and discontinuous names. Our annotation platform consists of two main tools interconnected by converting facilities. A rule-based natural language processing platform SProUT is used for the automatic pre-annotation of named entities, due to the previously created Polish extraction grammars adapted to the annotation task. A customizable graphical tree editor TrEd, extended to our needs, provides an ergonomic environment for manual correction of annotations. Despite some difficult cases encountered in the early annotation phase, about 2,600 named entities in 1,800 corpus sentences have presently been annotated, which allowed to validate the project methodology and tools.
Year
Venue
Keywords
2010
LREC 2010 - SEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
rule based,natural language processing
Field
DocType
Citations 
Entity linking,Rule-based machine translation,Annotation,Temporal annotation,Information retrieval,Computer science,Text corpus,Named entity,Artificial intelligence,Natural language processing,Hierarchy
Conference
14
PageRank 
References 
Authors
1.19
14
3
Name
Order
Citations
PageRank
Agata Savary19219.55
Jakub Waszczuk2296.17
Adam Przepiórkowski317930.37