The ARRAU 3.0 Corpus

Kód výsledku v 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>

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

The ARRAU 3.0 Corpus

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

The ARRAU 3.0 Corpus

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

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Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

CODI - Workshop Comput. Approaches Discourse, Proc. Workshop

ISBN

979-889176079-0

ISSN

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e-ISSN

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Počet stran výsledku

12

Strana od-do

127-138

Název nakladatele

Association for Computational Linguistics (ACL)

Místo vydání

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Místo konání akce

St. Julian's, Malta

Datum konání akce

1. 1. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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