Adapting Semantic Role Labeling to New Genres and Languages

Kód výsledku v 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>
Výsledek na webu
<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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Jazyk výsledku
portugalština
Název v původním jazyce
Adapting Semantic Role Labeling to New Genres and Languages
Popis výsledku v původním jazyce
"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."
Název v anglickém jazyce
Adapting Semantic Role Labeling to New Genres and Languages
Popis výsledku anglicky
"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."

Druh
O - Ostatní výsledky
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)

Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Podobné výsledky(10)