Error Exploration for Automatic Abstract Meaning Representation Parsing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AVQDE357N" target="_blank" >RIV/00216208:11320/23:VQDE357N - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2023.iwcs-1.25/" target="_blank" >https://aclanthology.org/2023.iwcs-1.25/</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Error Exploration for Automatic Abstract Meaning Representation Parsing
Original language description
"Following the data-driven methods of evaluation and error analysis in meaning representation parsing presented in (Buljan et al., 2022), we performed an error exploration of an Abstract Meaning Representation (AMR) parser. Our aim is to perform a diagnosis of the types of errors found in the output of the tool in order to implement adaptation and correction strategies to accommodate these errors. This article presents the exploration, its results, the strategies we implemented, and the effect of these strategies on the performances of the tool. Though we did not observe a significative rise on average in the performances of the tool, we got much better results in some cases using our adaptation techniques."
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
—
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
"Proceedings of 15th International Conference on Computational Semantics"
ISBN
978-1-959429-74-6
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
246-251
Publisher name
The Association for Computational Linguistics
Place of publication
France, Nancy
Event location
France, Nancy
Event date
Jan 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—