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Knowledge Graphs are not Created Equal: Exploring the Properties and Structure of Real KGs
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.
The Extractive-Abstractive Axis: Measuring Content "Borrowing" in Generative Language Models
Generative language models produce highly abstractive outputs by design, in contrast to extractive responses in search engines.
Salience Rank: Efficient Keyphrase Extraction with Topic Modeling
Topical PageRank (TPR) uses latent topic distribution inferred by Latent Dirichlet Allocation (LDA) to perform ranking of noun phrases extracted from documents.
Parallel MMF: a Multiresolution Approach to Matrix Computation
Multiresolution Matrix Factorization (MMF) was recently introduced as a method for finding multiscale structure and defining wavelets on graphs/matrices.
