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20182022
most citedDoes injecting linguistic structure into language models lead to better alignment with brain recordings?

19 citations · 35 across the 6 of their papers we have counts for

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13 papers · 1 filter

cs.CL20221 cited

Word Order Does Matter (And Shuffled Language Models Know It)

Vinit Ravishankar, Mostafa Abdou, Artur Kulmizev +1

Recent studies have shown that language models pretrained and/or fine-tuned on randomly permuted sentences exhibit competitive performance on GLUE, putting into question the import…

cs.CL202212 cited

Challenges and Strategies in Cross-Cultural NLP

Daniel Hershcovich, Stella Frank, Heather Lent +11

Various efforts in the Natural Language Processing (NLP) community have been made to accommodate linguistic diversity and serve speakers of many different languages. However, it is…

cs.CL20222 cited

Connecting Neural Response measurements & Computational Models of language: a non-comprehensive guide

Mostafa Abdou

Understanding the neural basis of language comprehension in the brain has been a long-standing goal of various scientific research programs. Recent advances in language modelling a…

cs.CL2021

Do Language Models Know the Way to Rome?

Bastien Liétard, Mostafa Abdou, Anders Søgaard

The global geometry of language models is important for a range of applications, but language model probes tend to evaluate rather local relations, for which ground truths are easi…

cs.CL202119 cited

Does injecting linguistic structure into language models lead to better alignment with brain recordings?

Mostafa Abdou, Ana Valeria Gonzalez, Mariya Toneva +2

Neuroscientists evaluate deep neural networks for natural language processing as possible candidate models for how language is processed in the brain. These models are often traine…

cs.CL2021

Attention Can Reflect Syntactic Structure (If You Let It)

Vinit Ravishankar, Artur Kulmizev, Mostafa Abdou +2

Since the popularization of the Transformer as a general-purpose feature encoder for NLP, many studies have attempted to decode linguistic structure from its novel multi-head atten…