Search Results for author: Stefan L. Frank

Found 12 papers, 6 papers with code

Less is Better: A cognitively inspired unsupervised model for language segmentation

1 code implementation COLING (CogALex) 2020 Jinbiao Yang, Stefan L. Frank, Antal Van den Bosch

Language users process utterances by segmenting them into many cognitive units, which vary in their sizes and linguistic levels.

Segmentation

Modelling word learning and recognition using visually grounded speech

1 code implementation14 Mar 2022 Danny Merkx, Sebastiaan Scholten, Stefan L. Frank, Mirjam Ernestus, Odette Scharenborg

We furthermore investigate whether vector quantisation, a technique for discrete representation learning, aids the model in the discovery and recognition of words.

Representation Learning speech-recognition +1

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

1 code implementation CMCL (ACL) 2022 Danny Merkx, Stefan L. Frank, Mirjam Ernestus

In this paper we create visually grounded word embeddings by combining English text and images and compare them to popular text-based methods, to see if visual information allows our model to better capture cognitive aspects of word meaning.

Grounded language learning Image Retrieval +4

Semantic sentence similarity: size does not always matter

1 code implementation16 Jun 2021 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.

Grounded language learning Image Retrieval +9

Human Sentence Processing: Recurrence or Attention?

1 code implementation NAACL (CMCL) 2021 Danny Merkx, Stefan L. Frank

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

Language Modelling Retrieval +1

Dependency Parsing with your Eyes: Dependency Structure Predicts Eye Regressions During Reading

no code implementations WS 2019 Aless Lopopolo, ro, Stefan L. Frank, Antal Van den Bosch, Roel Willems

Backward saccades during reading have been hypothesized to be involved in structural reanalysis, or to be related to the level of text difficulty.

Dependency Parsing Test

Data-Driven Broad-Coverage Grammars for Opinionated Natural Language Generation (ONLG)

no code implementations ACL 2017 Tomer Cagan, Stefan L. Frank, Reut Tsarfaty

Opinionated Natural Language Generation (ONLG) is a new, challenging, task that aims to automatically generate human-like, subjective, responses to opinionated articles online.

Language Modelling Text Generation +1

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