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Found 9 papers, 0 papers with code
Experiments in Candidate Phrase Selection for Financial Named Entity Extraction - A Demo
In this study we develop a system that tags and extracts financial concepts called financial named entities (FNE) along with corresponding numeric values {--} monetary and temporal.
Textbook to triples: Creating knowledge graph in the form of triples from AI TextBook
A knowledge graph is an essential and trending technology with great applications in entity recognition, search, or question answering.
IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages
Natural Language Generation (NLG) for non-English languages is hampered by the scarcity of datasets in these languages.
FabKG: A Knowledge graph of Manufacturing Science domain utilizing structured and unconventional unstructured knowledge source
As the demands for large-scale information processing have grown, knowledge graph-based approaches have gained prominence for representing general and domain knowledge.
An ensemble of convolution-based methods for fault detection using vibration signals
This paper focuses on solving a fault detection problem using multivariate time series of vibration signals collected from planetary gearboxes in a test rig.
CoroNetGAN: Controlled Pruning of GANs via Hypernetworks
Additionally, our approach also outperforms the state-of-the-art methods in achieving better inference time on various smart-phone chipsets and data-types making it a feasible solution for deployment on edge devices.
AADNet: Attention aware Demoiréing Network
Moire pattern frequently appears in photographs captured with mobile devices and digital cameras, potentially degrading image quality.
All Artificial, Less Intelligence: GenAI through the Lens of Formal Verification
This dataset was generated by 4 different LLMs and features a unique set of designs for each of the 10 CWEs we target in our paper.
