Enhancing semantic understanding across multiple dimensions: towards a unified framework for semantic knowledge extraction
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3A9WP6XQQV" target="_blank" >RIV/00216208:11320/26:9WP6XQQV - isvavai.cz</a>
Výsledek na webu
<a href="https://iris.uniroma1.it/handle/11573/1733338#" target="_blank" >https://iris.uniroma1.it/handle/11573/1733338#</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Enhancing semantic understanding across multiple dimensions: towards a unified framework for semantic knowledge extraction
Popis výsledku v původním jazyce
Natural Language Processing (NLP) is a subfield of Artificial Intelligence (AI), which investigates the interaction between computers and human languages. Despite the tremendous progress that we have witnessed in recent years, largely driven by increasingly sophisticated Deep Learning techniques, NLP systems are still a long way from truly understanding what they process. Within NLP, Natural Language Understanding (NLU) is the area that seeks to enable machine comprehension of human language. One of the key roles of NLU is transforming unstructured text into explicit semantic knowledge, with applications beyond NLP. Nonetheless, modern NLP systems face several challenges that prevent us from achieving true NLU across languages, domains, and applications.
Název v anglickém jazyce
Enhancing semantic understanding across multiple dimensions: towards a unified framework for semantic knowledge extraction
Popis výsledku anglicky
Natural Language Processing (NLP) is a subfield of Artificial Intelligence (AI), which investigates the interaction between computers and human languages. Despite the tremendous progress that we have witnessed in recent years, largely driven by increasingly sophisticated Deep Learning techniques, NLP systems are still a long way from truly understanding what they process. Within NLP, Natural Language Understanding (NLU) is the area that seeks to enable machine comprehension of human language. One of the key roles of NLU is transforming unstructured text into explicit semantic knowledge, with applications beyond NLP. Nonetheless, modern NLP systems face several challenges that prevent us from achieving true NLU across languages, domains, and applications.
Klasifikace
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)
Návaznosti výsledku
Projekt
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Návaznosti
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Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů