no code implementations • 10 Nov 2023 • Nedelina Teneva, Estevam Hruschka
Despite the recent popularity of knowledge graph (KG) related tasks and benchmarks such as KG embeddings, link prediction, entity alignment and evaluation of the reasoning abilities of pretrained language models as KGs, the structure and properties of real KGs are not well studied.
no code implementations • 20 Jul 2023 • Nedelina Teneva
Generative language models produce highly abstractive outputs by design, in contrast to extractive responses in search engines.
no code implementations • ACL 2017 • Nedelina Teneva, Weiwei Cheng
Topical PageRank (TPR) uses latent topic distribution inferred by Latent Dirichlet Allocation (LDA) to perform ranking of noun phrases extracted from documents.
no code implementations • 15 Jul 2015 • Risi Kondor, Nedelina Teneva, Pramod K. Mudrakarta
Multiresolution Matrix Factorization (MMF) was recently introduced as a method for finding multiscale structure and defining wavelets on graphs/matrices.