The CoBaLD Annotation Project: the Creation and Application of the full Morpho-Syntactic and Semantic Markup Standard
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AM88I5PXB" target="_blank" >RIV/00216208:11320/23:M88I5PXB - isvavai.cz</a>
Výsledek na webu
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175524717&doi=10.28995%2f2075-7182-2023-22-421-432&partnerID=40&md5=33ef8b1b8dd38fd6dd6320083ba7c474" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175524717&doi=10.28995%2f2075-7182-2023-22-421-432&partnerID=40&md5=33ef8b1b8dd38fd6dd6320083ba7c474</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.28995/2075-7182-2023-22-421-432" target="_blank" >10.28995/2075-7182-2023-22-421-432</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
The CoBaLD Annotation Project: the Creation and Application of the full Morpho-Syntactic and Semantic Markup Standard
Popis výsledku v původním jazyce
"The current paper is devoted to the Compreno-Based Linguistic Data (CoBaLD) Annotation Project aimed at creating text corpora annotated with full morphological, syntactic and semantic markup. The first task of the project is to suggest a standard for the full universal markup which would include both morphosyntactic and semantic patterns. To solve this problem, one needs the markup model, which includes all necessary markup levels and presents the markup in a format convenient for users. The latter implies not only the fullness of the markup, but also its structural simplicity and homogeneity. As a base for the markup, we have chosen the simplified version of the Compreno model1, and as data presentation format, we have taken Universal Dependencies. At the second stage of the project, the Russian corpus with 400 thousand tokens (CoBaLD-Rus) has been created, which is annotated according to the given standard. The third stage is devoted to the testing of the new format. For this purpose, we have held the SEMarkup Shared Task aimed at creating parsers which would produce full morpho-syntactic and semantic markup. Within this task, we have elaborated neural network-based parser trained on our dataset, which allows one to annotate new texts with the CoBaLD-standard. Our further plans are to create fully annotated corpora for other languages and to carry out the experiments on language transfers of the current markup to other languages. © Dialogue 2023.All rights reserved."
Název v anglickém jazyce
The CoBaLD Annotation Project: the Creation and Application of the full Morpho-Syntactic and Semantic Markup Standard
Popis výsledku anglicky
"The current paper is devoted to the Compreno-Based Linguistic Data (CoBaLD) Annotation Project aimed at creating text corpora annotated with full morphological, syntactic and semantic markup. The first task of the project is to suggest a standard for the full universal markup which would include both morphosyntactic and semantic patterns. To solve this problem, one needs the markup model, which includes all necessary markup levels and presents the markup in a format convenient for users. The latter implies not only the fullness of the markup, but also its structural simplicity and homogeneity. As a base for the markup, we have chosen the simplified version of the Compreno model1, and as data presentation format, we have taken Universal Dependencies. At the second stage of the project, the Russian corpus with 400 thousand tokens (CoBaLD-Rus) has been created, which is annotated according to the given standard. The third stage is devoted to the testing of the new format. For this purpose, we have held the SEMarkup Shared Task aimed at creating parsers which would produce full morpho-syntactic and semantic markup. Within this task, we have elaborated neural network-based parser trained on our dataset, which allows one to annotate new texts with the CoBaLD-standard. Our further plans are to create fully annotated corpora for other languages and to carry out the experiments on language transfers of the current markup to other languages. © Dialogue 2023.All rights reserved."
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
—
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
"Komp'ut. Lingvist. Intellekt. Tehnol."
ISBN
—
ISSN
2221-7932
e-ISSN
—
Počet stran výsledku
9
Strana od-do
433-441
Název nakladatele
ABBYY PRODUCTION LLC
Místo vydání
—
Místo konání akce
Dubrovnik
Datum konání akce
1. 1. 2023
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—