Computational Models of Anaphora
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AWGAM3D6S" target="_blank" >RIV/00216208:11320/25:WGAM3D6S - isvavai.cz</a>
Result on the web
<a href="https://www.annualreviews.org/content/journals/10.1146/annurev-linguistics-031120-111653" target="_blank" >https://www.annualreviews.org/content/journals/10.1146/annurev-linguistics-031120-111653</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1146/annurev-linguistics-031120-111653" target="_blank" >10.1146/annurev-linguistics-031120-111653</a>
Alternative languages
Result language
angličtina
Original language name
Computational Models of Anaphora
Original language description
Interpreting anaphoric references is a fundamental aspect of our language competence that has long attracted the attention of computational linguists. The appearance of ever-larger anaphorically annotated data sets covering more and more anaphoric phenomena in ever-greater detail has spurred the development of increasingly more sophisticated computational models; as a result, the most recent state-of-the-art neural models are able to achieve impressive performance by leveraging linguistic, lexical, discourse, and encyclopedic information. This article provides a thorough survey of anaphora resolution (coreference) throughout this development, reviewing the available data sets and covering both the preneural history of the field and—in more detail—current neural models, including research on less-studied aspects of anaphoric interpretation such as bridging reference resolution and discourse deixis interpretation.
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
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
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Annual Review of Linguistics
ISSN
2333-9683
e-ISSN
2333-9691
Volume of the periodical
9
Issue of the periodical within the volume
Volume 9, 2023
Country of publishing house
US - UNITED STATES
Number of pages
27
Pages from-to
561-587
UT code for WoS article
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EID of the result in the Scopus database
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