Adapting Semantic Role Labeling to New Genres and Languages
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AQVCBZPL3" target="_blank" >RIV/00216208:11320/23:QVCBZPL3 - isvavai.cz</a>
Result on the web
<a href="https://search.proquest.com/openview/4bdae04f5b54b54f89965842b15bc309/1?pq-origsite=gscholar&cbl=18750&diss=y" target="_blank" >https://search.proquest.com/openview/4bdae04f5b54b54f89965842b15bc309/1?pq-origsite=gscholar&cbl=18750&diss=y</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
portugalština
Original language name
Adapting Semantic Role Labeling to New Genres and Languages
Original language description
"Semantic role labeling (SRL) is the identification of semantic predicates and their participants within a sentence, which is vital for deeper natural language understanding. State-of-the-art SRLnmodels require annotated text for training, but those annotations don’t exist for many languages and domains. The ability to annotate new corpora is hampered by limited time and budget. We explore two different ways of reducing the annotation required to produce SRL systems for new domains or languages: active learning and annotation projection."
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
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