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Annotating a broad range of anaphoric phenomena, in a variety of genres: the ARRAU Corpus

Published online by Cambridge University Press:  07 May 2019

Olga Uryupina ,
Ron Artstein ,
Antonella Bristot ,
Federica Cavicchio ,
Francesca Delogu ,
Kepa J. Rodriguez  and
Massimo Poesio
Olga Uryupina*
Affiliation:
Department of Information Engineering and Computer Science, University of Trento
Ron Artstein
Affiliation:
Institute for Creative Technologies, University of Southern California
Federica Cavicchio
Affiliation:
Sign Language Lab, University of Haifa
Francesca Delogu
Affiliation:
Department of Computational Linguistics & Phonetics, Saarland University
Kepa J. Rodriguez
Affiliation:
Archives Division, Yad Vashem
Massimo Poesio
Affiliation:
School of Electronic Engineering and Computer Science, Queen Mary University of London
*
Corresponding author. Email: uryupina@gmail.com
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Abstract

This paper presents the second release of arrau, a multigenre corpus of anaphoric information created over 10 years to provide data for the next generation of coreference/anaphora resolution systems combining different types of linguistic and world knowledge with advanced discourse modeling supporting rich linguistic annotations. The distinguishing features of arrau include the following: treating all NPs as markables, including non-referring NPs, and annotating their (non-) referentiality status; distinguishing between several categories of non-referentiality and annotating non-anaphoric mentions; thorough annotation of markable boundaries (minimal/maximal spans, discontinuous markables); annotating a variety of mention attributes, ranging from morphosyntactic parameters to semantic category; annotating the genericity status of mentions; annotating a wide range of anaphoric relations, including bridging relations and discourse deixis; and, finally, annotating anaphoric ambiguity. The current version of the dataset contains 350K tokens and is publicly available from LDC. In this paper, we discuss in detail all the distinguishing features of the corpus, so far only partially presented in a number of conference and workshop papers, and we also discuss the development between the first release of arrau in 2008 and this second one.

Keywords

coreferenceanaphoradiscourseannotationlinguistic corpora
Type
Article
Information
Natural Language Engineering , Volume 26 , Issue 1 , January 2020 , pp. 95 - 128
Copyright
© Cambridge University Press 2019 

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