142 citations · 155 across the 4 of their papers we have counts for
4 papers
Slower is Better: Revisiting the Forgetting Mechanism in LSTM for Slower Information Decay
Hsiang-Yun Sherry Chien, Javier S. Turek, Nicole Beckage +3
Sequential information contains short- to long-range dependencies; however, learning long-timescale information has been a challenge for recurrent neural networks. Despite improvem…
Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora
Marius Cătălin Iordan, Tyler Giallanza, Cameron T. Ellis +2
Applying machine learning algorithms to large-scale, text-based corpora (embeddings) presents a unique opportunity to investigate at scale how human semantic knowledge is organized…
Multiplex model of mental lexicon reveals explosive learning in humans
Massimo Stella, Nicole M. Beckage, Markus Brede +1
Word similarities affect language acquisition and use in a multi-relational way barely accounted for in the literature. We propose a multiplex network representation of this mental…
Multiplex lexical networks reveal patterns in early word acquisition in children
Massimo Stella, Nicole M. Beckage, Markus Brede
Network models of language have provided a way of linking cognitive processes to the structure and connectivity of language. However, one shortcoming of current approaches is focus…