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A Protocol for Annotating Parser Differences NLP

Author(s):
Bruno, James V.; Cahill, Aoife; Gyawali, Binod
Publication Year:
2016
Report Number:
RR-16-02
Source:
ETS Research Report
Document Type:
Report
Page Count:
14
Subject/Key Words:
Natural Language Processing (NLP), Parsing Technique, Annotation, Syntax

Abstract

We present an annotation scheme for classifying differences in the outputs of syntactic constituency parsers when a gold standard is unavailable or undesired, as in the case of texts written by nonnative speakers of English. We discuss its automated implementation and the results of a case study that uses the scheme to choose a parser best suited to a downstream task that processes nonnative written text.

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