activity
20172022
most citedLanguage learning using Speech to Image retrieval

51 citations · 165 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2022

Modelling word learning and recognition using visually grounded speech

Danny Merkx, Sebastiaan Scholten, Stefan L. Frank +2

Background: Computational models of speech recognition often assume that the set of target words is already given. This implies that these models do not learn to recognise speech f…

cs.CL2022

Seeing the advantage: visually grounding word embeddings to better capture human semantic knowledge

Danny Merkx, Stefan L. Frank, Mirjam Ernestus

Distributional semantic models capture word-level meaning that is useful in many natural language processing tasks and have even been shown to capture cognitive aspects of word mea…

cs.CL2021

Semantic sentence similarity: size does not always matter

Danny Merkx, Stefan L. Frank, Mirjam Ernestus

This study addresses the question whether visually grounded speech recognition (VGS) models learn to capture sentence semantics without access to any prior linguistic knowledge. We…

cs.CL2020★ 50 cited

Human Sentence Processing: Recurrence or Attention?

Danny Merkx, Stefan L. Frank

Recurrent neural networks (RNNs) have long been an architecture of interest for computational models of human sentence processing. The recently introduced Transformer architecture…

cs.CL2019★ 51 cited

Language learning using Speech to Image retrieval

Danny Merkx, Stefan L. Frank, Mirjam Ernestus

Humans learn language by interaction with their environment and listening to other humans. It should also be possible for computational models to learn language directly from speec…

cs.CL2019★ 14 cited

Learning semantic sentence representations from visually grounded language without lexical knowledge

Danny Merkx, Stefan Frank

Current approaches to learning semantic representations of sentences often use prior word-level knowledge. The current study aims to leverage visual information in order to capture…

q-bio.NC2017★ 50 cited

Lexical representation explains cortical entrainment during speech comprehension

Stefan Frank, Jinbiao Yang

Results from a recent neuroimaging study on spoken sentence comprehension have been interpreted as evidence for cortical entrainment to hierarchical syntactic structure. We present…