Zobrazeno 1 - 10
of 3 408
pro vyhledávání: '"Singh Kuldeep"'
Despite growing efforts to halt distasteful content on social media, multilingualism has added a new dimension to this problem. The scarcity of resources makes the challenge even greater when it comes to low-resource languages. This work focuses on p
Externí odkaz:
http://arxiv.org/abs/2410.21321
Financial decision-making hinges on the analysis of relevant information embedded in the enormous volume of documents in the financial domain. To address this challenge, we developed FinQAPT, an end-to-end pipeline that streamlines the identification
Externí odkaz:
http://arxiv.org/abs/2410.13959
Autor:
Berijanian, Maryam, Dork, Spencer, Singh, Kuldeep, Millikan, Michael Riley, Riggs, Ashlin, Swaminathan, Aadarsh, Gibbs, Sarah L., Friedman, Scott E., Brugnone, Nathan
Understanding and modeling collective intelligence is essential for addressing complex social systems. Directed graphs called fuzzy cognitive maps (FCMs) offer a powerful tool for encoding causal mental models, but extracting high-integrity FCMs from
Externí odkaz:
http://arxiv.org/abs/2409.18911
In this paper, we develop a novel mobility-aware transformer-driven tiered structure (MASSFormer) based cooperative spectrum sensing method that effectively models the spatio-temporal dynamics of user movements. Unlike existing methods, our method co
Externí odkaz:
http://arxiv.org/abs/2409.17546
Publikováno v:
Scientific Reports 14, 13005 (2024)
The dynamics of nonlinear ion-acoustic solitary waves in the presence of kinetic (Landau type) damping have been investigated in a collisionless, non-magnetized electron-ion plasma. A cold ion fluid model, coupled to a Vlasov-type kinetic equation fo
Externí odkaz:
http://arxiv.org/abs/2406.03267
Relation extraction (RE) is a well-known NLP application often treated as a sentence- or document-level task. However, a handful of recent efforts explore it across documents or in the cross-document setting (CrossDocRE). This is distinct from the si
Externí odkaz:
http://arxiv.org/abs/2405.13546
We present the Evolving Graph Fourier Transform (EFT), the first invertible spectral transform that captures evolving representations on temporal graphs. We motivate our work by the inadequacy of existing methods for capturing the evolving graph spec
Externí odkaz:
http://arxiv.org/abs/2402.16078
Document-level relation extraction (DocRE) poses the challenge of identifying relationships between entities within a document as opposed to the traditional RE setting where a single sentence is input. Existing approaches rely on logical reasoning or
Externí odkaz:
http://arxiv.org/abs/2401.11800