16 citations · 23 across the 8 of their papers we have counts for
9 papers
Formation of Artificial Neural Assemblies by Biologically Plausible Inhibition Mechanisms
Lucas Hoff, Gustavo Soroka, Matheus Guimarães +2
As proposed by Hebb's theory, neural assemblies are groups of excitatory neurons that fire synchronously and exhibit high synaptic density, representing external stimuli and suppor…
Beyond surface form: A pipeline for semantic analysis in Alzheimer's Disease detection from spontaneous speech
Dylan Phelps, Rodrigo Wilkens, Edward Gow-Smith +6
Alzheimer's Disease (AD) is a progressive neurodegenerative condition that adversely affects cognitive abilities. Language-related changes can be automatically identified through t…
SemEval-2025 Task 1: AdMIRe -- Advancing Multimodal Idiomaticity Representation
Thomas Pickard, Aline Villavicencio, Maggie Mi +3
Idiomatic expressions present a unique challenge in NLP, as their meanings are often not directly inferable from their constituent words. Despite recent advancements in Large Langu…
Investigating Idiomaticity in Word Representations
Wei He, Tiago Kramer Vieira, Marcos Garcia +3
Idiomatic expressions are an integral part of human languages, often used to express complex ideas in compressed or conventional ways (e.g. eager beaver as a keen and enthusiastic…
Enhancing Idiomatic Representation in Multiple Languages via an Adaptive Contrastive Triplet Loss
Wei He, Marco Idiart, Carolina Scarton +1
Accurately modeling idiomatic or non-compositional language has been a longstanding challenge in Natural Language Processing (NLP). This is partly because these expressions do not…
SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding
Harish Tayyar Madabushi, Edward Gow-Smith, Marcos Garcia +3
This paper presents the shared task on Multilingual Idiomaticity Detection and Sentence Embedding, which consists of two subtasks: (a) a binary classification task aimed at identif…
Theta, alpha and gamma traveling waves in a multi-item working memory model
Gustavo Soroka, Marco Idiart
Brain oscillations are believed to be involved in the different operations necessary to manipulate information during working memory tasks. We propose a modular variant of the Lism…
Matrix Factorization using Window Sampling and Negative Sampling for Improved Word Representations
Alexandre Salle, Marco Idiart, Aline Villavicencio
In this paper, we propose LexVec, a new method for generating distributed word representations that uses low-rank, weighted factorization of the Positive Point-wise Mutual Informat…
Enhancing the LexVec Distributed Word Representation Model Using Positional Contexts and External Memory
Alexandre Salle, Marco Idiart, Aline Villavicencio
In this paper we take a state-of-the-art model for distributed word representation that explicitly factorizes the positive pointwise mutual information (PPMI) matrix using window s…