Increased Recall in Annotation Variance Detection in Treebanks

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9302)

Abstract

Automatic inconsistency detection in parsed corpora is significantly helpful for building more and larger corpora of annotated texts. Inconsistencies are inevitable and originate from variance in annotation caused by different factors as, for instance, the lack of attention or the absence of clear annotation guidelines. In this paper, some results involving the automatic detection of annotation variance in parsed corpora are presented. In particular, it is shown that a generalization procedure substantially increases the recall of the variant detection algorithm proposed in [1].

Keywords

Treebank Inconsistency detection Quality control 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.University of Campinas, Language Studies InstituteCampinasBrazil

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