The ARRAU 3.0 Corpus
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3ANECCRLUC" target="_blank" >RIV/00216208:11320/25:NECCRLUC - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190298469&partnerID=40&md5=0f6eb7fb365981bd01e6d1e5e71092eb" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190298469&partnerID=40&md5=0f6eb7fb365981bd01e6d1e5e71092eb</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The ARRAU 3.0 Corpus
Original language description
ARRAU is an anaphorically annotated corpus designed to cover a variety of aspects of anaphoric reference in a variety of genres, including both written text and spoken language. The objective of this annotation project is to push forward the state of the art in anaphoric annotation, by overcoming the limitations of current annotation practice and the scope of current models of anaphoric interpretation, which in turn may reveal other issues. The resulting corpus is still therefore very much a work in progress almost twenty years after the project started. In this paper, we discuss the issues identified with the coding scheme used for the previous release, ARRAU 2, and through the use of this corpus for three shared tasks; the proposed solutions to these issues; and the resulting corpus, ARRAU 3. © 2024 Association for Computational Linguistics.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
CODI - Workshop Comput. Approaches Discourse, Proc. Workshop
ISBN
979-889176079-0
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
127-138
Publisher name
Association for Computational Linguistics (ACL)
Place of publication
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Event location
St. Julian's, Malta
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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