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RSVP reading of book chapter in MEG|脑科学数据集|自然语言处理数据集

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DataCite Commons2022-08-18 更新2024-07-13 收录
下载链接:
https://kilthub.cmu.edu/articles/dataset/RSVP_reading_of_book_chapter_in_MEG/20465898/1
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资源简介:
Subjects read Chapter 9 of Harry Potter and the Sorcerer's Stone one word at a time while their activity was recorded using an Elekta MEG scanner. Words were presented for 0.5 seconds each. The Carnegie Mellon University and the University of Pittsburgh Institutional Review Boards have approved and overseen this study. This study was performed by Tom Mitchell's lab at Carnegie Mellon University. To access this data, please fill the following form, we will contact you shortly with more information: <strong>https://forms.gle/9pjRk6B7aw79w2xs6</strong> <br> This data was used in the following publications: Wehbe, L., Vaswani, A., Knight, K., &amp; Mitchell, T. (2014, October). Aligning context-based statistical models of language with brain activity during reading. In <em>Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)</em> (pp. 233-243). Toneva, M., &amp; Wehbe, L. (2019). Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain). <em>Advances in Neural Information Processing Systems</em>, <em>32</em>. Schwartz, D., Toneva, M., &amp; Wehbe, L. (2019). Inducing brain-relevant bias in natural language processing models. <em>Advances in neural information processing systems</em>, <em>32</em>. Toneva, M., Mitchell, T. M., &amp; Wehbe, L. (2022). Combining computational controls with natural text reveals new aspects of meaning composition. <em>BioRxiv</em>, 2020-09. The files shared here include a time array indicating the timing of each column of data, and a label array indicating the order of each word in the stimulus text. To access the full MEG data, please fill the form above.
提供机构:
Carnegie Mellon University
创建时间:
2022-08-18
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