Enhancing semantic understanding across multiple dimensions: towards a unified framework for semantic knowledge extraction
The result's identifiers
Result code in 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>
Result on the web
<a href="https://iris.uniroma1.it/handle/11573/1733338#" target="_blank" >https://iris.uniroma1.it/handle/11573/1733338#</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Enhancing semantic understanding across multiple dimensions: towards a unified framework for semantic knowledge extraction
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
O - Miscellaneous
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
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů