Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)

28 May 2019

Papers citing "Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)"

34 / 84 papers shown

Title
Joint processing of linguistic properties in brains and language models S. Oota Manish Gupta Mariya Toneva 6 26 0 15 Dec 2022
HeartBEiT: Vision Transformer for Electrocardiogram Data Improves Diagnostic Performance at Low Sample Sizes A. Vaid Joy Jiang Ashwin S. Sawant S. Lerakis E. Argulian ... Alexander W. Charney H. Greenspan Benjamin S. Glicksberg T. University Israel. Division of Nephrology MedIm 15 3 0 13 Dec 2022
Multimodal foundation models are better simulators of the human brain Haoyu Lu Qiongyi Zhou Nanyi Fei Zhiwu Lu Mingyu Ding ... Changde Du Xin Zhao Haoran Sun Huiguang He J. Wen AI4CE 29 13 0 17 Aug 2022
Can Brain Signals Reveal Inner Alignment with Human Languages? William Jongwon Han Jielin Qiu Jiacheng Zhu Mengdi Xu Douglas Weber Bo-wen Li Ding Zhao 9 12 0 10 Aug 2022
MEG-MASC: a high-quality magneto-encephalography dataset for evaluating natural speech processing L. Gwilliams Graham Flick A. Marantz L. Pylkkänen David Poeppel J. King 27 6 0 26 Jul 2022
Toward a realistic model of speech processing in the brain with self-supervised learning Juliette Millet Charlotte Caucheteux Pierre Orhan Yves Boubenec Alexandre Gramfort Ewan Dunbar Christophe Pallier J. King 23 93 0 03 Jun 2022
Self-supervised models of audio effectively explain human cortical responses to speech Aditya R. Vaidya Shailee Jain Alexander G. Huth 23 42 0 27 May 2022
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity? S. Oota Jashn Arora Veeral Agarwal Mounika Marreddy Manish Gupta Raju Surampudi Bapi 25 38 0 03 May 2022
Cross-view Brain Decoding S. Oota Jashn Arora Manish Gupta R. Bapi 14 1 0 18 Apr 2022
Testing the limits of natural language models for predicting human language judgments Tal Golan Matthew Siegelman N. Kriegeskorte Christopher A. Baldassano 22 15 0 07 Apr 2022
Connecting Neural Response measurements & Computational Models of language: a non-comprehensive guide Mostafa Abdou 19 7 0 10 Mar 2022
Same Cause; Different Effects in the Brain Mariya Toneva Jennifer Williams Anand Bollu Christoph Dann Leila Wehbe 10 15 0 21 Feb 2022
Behavior measures are predicted by how information is encoded in an individual's brain Jennifer Williams Leila Wehbe 6 1 0 11 Dec 2021
Long-range and hierarchical language predictions in brains and algorithms Charlotte Caucheteux Alexandre Gramfort J. King 12 22 0 28 Nov 2021
Interpreting Deep Learning Models in Natural Language Processing: A Review Xiaofei Sun Diyi Yang Xiaoya Li Tianwei Zhang Yuxian Meng Han Qiu Guoyin Wang Eduard H. Hovy Jiwei Li 17 44 0 20 Oct 2021
Model-based analysis of brain activity reveals the hierarchy of language in 305 subjects Charlotte Caucheteux Alexandre Gramfort J. King 40 32 0 12 Oct 2021
Incorporating Residual and Normalization Layers into Analysis of Masked Language Models Goro Kobayashi Tatsuki Kuribayashi Sho Yokoi Kentaro Inui 158 46 0 15 Sep 2021
Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain Responses Richard Antonello Javier S. Turek Vy A. Vo Alexander G. Huth 12 37 0 09 Jun 2021
Multilingual Language Models Predict Human Reading Behavior Nora Hollenstein Federico Pirovano Ce Zhang Lena Jäger Lisa Beinborn VLM 25 45 0 12 Apr 2021
Deep Recurrent Encoder: A scalable end-to-end network to model brain signals O. Chehab Alexandre Défossez Jean-Christophe Loiseau Alexandre Gramfort J. King AI4TS 11 9 0 03 Mar 2021
Disentangling Syntax and Semantics in the Brain with Deep Networks Charlotte Caucheteux Alexandre Gramfort J. King 34 69 0 02 Mar 2021
Decoding EEG Brain Activity for Multi-Modal Natural Language Processing Nora Hollenstein Cédric Renggli B. Glaus Maria Barrett M. Troendle N. Langer Ce Zhang 63 35 0 17 Feb 2021
Does injecting linguistic structure into language models lead to better alignment with brain recordings? Mostafa Abdou Ana Valeria González Mariya Toneva Daniel Hershcovich Anders Søgaard 19 15 0 29 Jan 2021
From Language to Language-ish: How Brain-Like is an LSTM's Representation of Nonsensical Language Stimuli? Maryam Hashemzadeh Greta Kaufeld Martha White Andrea E. Martin Alona Fyshe MILM 6 6 0 14 Oct 2020
Multi-timescale Representation Learning in LSTM Language Models Shivangi Mahto Vy A. Vo Javier S. Turek Alexander G. Huth 10 29 0 27 Sep 2020
Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction Mariya Toneva Otilia Stretcu Barnabás Póczós Leila Wehbe Tom Michael Mitchell 6 17 0 17 Sep 2020
Brain2Word: Decoding Brain Activity for Language Generation Nicolas Affolter Béni Egressy Damian Pascual Roger Wattenhofer 11 21 0 10 Sep 2020
Hopfield Networks is All You Need Hubert Ramsauer Bernhard Schafl Johannes Lehner Philipp Seidl Michael Widrich ... David P. Kreil Michael K Kopp G. Klambauer Johannes Brandstetter Sepp Hochreiter 22 412 0 16 Jul 2020
Human brain activity for machine attention Lukas Muttenthaler Nora Hollenstein Maria Barrett 17 14 0 09 Jun 2020
Data-driven models and computational tools for neurolinguistics: a language technology perspective Ekaterina Artemova Amir Bakarov A. Artemov E. Burnaev M. Sharaev 15 4 0 23 Mar 2020
DANCE: Enhancing saliency maps using decoys Y. Lu Wenbo Guo Xinyu Xing William Stafford Noble AAML 24 14 0 03 Feb 2020
ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation Nora Hollenstein M. Troendle Ce Zhang N. Langer 18 83 0 02 Dec 2019
Interpreting Deep Learning-Based Networking Systems Zili Meng Minhu Wang Jia-Ju Bai Mingwei Xu Hongzi Mao Hongxin Hu AI4CE 22 3 0 09 Oct 2019
What you can cram into a single vector: Probing sentence embeddings for linguistic properties Alexis Conneau Germán Kruszewski Guillaume Lample Loïc Barrault Marco Baroni 199 882 0 03 May 2018