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Humanities and Social Sciences/Linguistics linguistics and data processing – anaphora
Abstract:
This paper presents the design of an online evaluation service for coreference resolution in texts. We argue that coreference, as an
equivalence relation between referring expressions (RE) in texts, should be properly distinguished from anaphora and has therefore to
be evaluated separately. The annotation model for coreference is based on links between REs. The program presented in this article
compares two such annotations, which may be the output of coreference resolution tools or of human judgement. In order to evaluate
the agreement between the two annotations, the evaluator first converts the input annotation format into a pivot format, then abstracts
equivalence classes from the links and provides five scores representing in different ways the similarity between the two partitions:
MUC, B3, Kappa, Core-discourse-entity, and Mutual-information. Although we consider that the identification of REs (i.e. the elements
of the partition) should not be part of coreference resolution properly speaking, we propose several solutions for the frequent
case when the input files do not agree on the elements of the text to consider as REs.
