Mostafa Abdou | DeepAI

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∙ 06/08/2023

Mapping Brains with Language Models: A Survey

Over the years, many researchers have seemingly made the same observatio...

0 Antonia Karamolegkou, et al. ∙

∙ 06/02/2023

Large Language Models Converge on Brain-Like Word Representations

One of the greatest puzzles of all time is how understanding arises from...

0 Jiaang Li, et al. ∙

∙ 03/21/2022

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

Recent studies have shown that language models pretrained and/or fine-tu...

0 Vinit Ravishankar, et al. ∙

∙ 03/18/2022

Challenges and Strategies in Cross-Cultural NLP

Various efforts in the Natural Language Processing (NLP) community have ...

12 Daniel Hershcovich, et al. ∙

∙ 03/10/2022

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

Understanding the neural basis of language comprehension in the brain ha...

0 Mostafa Abdou, et al. ∙

∙ 11/29/2021

Do We Still Need Automatic Speech Recognition for Spoken Language Understanding?

Spoken language understanding (SLU) tasks are usually solved by first tr...

0 Lasse Borgholt, et al. ∙

∙ 09/16/2021

Do Language Models Know the Way to Rome?

The global geometry of language models is important for a range of appli...

0 Bastien Liétard, et al. ∙

∙ 09/13/2021

Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color

Pretrained language models have been shown to encode relational informat...

0 Mostafa Abdou, et al. ∙

∙ 01/29/2021

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

Neuroscientists evaluate deep neural networks for natural language proce...

24 Mostafa Abdou, et al. ∙

∙ 01/26/2021

Attention Can Reflect Syntactic Structure (If You Let It)

Since the popularization of the Transformer as a general-purpose feature...

13 Vinit Ravishankar, et al. ∙

∙ 10/12/2020

Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards

Coreference resolution and semantic role labeling are NLP tasks that cap...

0 Rahul Aralikatte, et al. ∙

∙ 05/04/2020

The Sensitivity of Language Models and Humans to Winograd Schema Perturbations

Large-scale pretrained language models are the major driving force behin...

0 Mostafa Abdou, et al. ∙

∙ 04/29/2020

Do Neural Language Models Show Preferences for Syntactic Formalisms?

Recent work on the interpretability of deep neural language models has c...

0 Artur Kulmizev, et al. ∙

∙ 09/10/2019

Compositional Generalization in Image Captioning

Image captioning models are usually evaluated on their ability to descri...

0 Mitja Nikolaus, et al. ∙

∙ 09/01/2019

Higher-order Comparisons of Sentence Encoder Representations

Representational Similarity Analysis (RSA) is a technique developed by n...

0 Mostafa Abdou, et al. ∙

∙ 08/14/2019

X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension

Although the vast majority of knowledge bases KBs are heavily biased tow...

0 Mostafa Abdou, et al. ∙

∙ 08/14/2019

X-WikiRE: A Large, Multilingual Resource for Relation Extraction asMachine Comprehension

Although the vast majority of knowledge bases KBs are heavily biased tow...

0 Mostafa Abdou, et al. ∙

∙ 02/28/2019

Better, Faster, Stronger Sequence Tagging Constituent Parsers

Sequence tagging models for constituent parsing are faster, but less acc...

0 David Vilares, et al. ∙

∙ 08/29/2018

What can we learn from Semantic Tagging?

We investigate the effects of multi-task learning using the recently int...

0 Mostafa Abdou, et al. ∙

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