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05/23/2023
On Robustness of Finetuned Transformer-based NLP Models
Transformer-based pretrained models like BERT, GPT-2 and T5 have been fi...
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02/16/2023
Syntactic Structure Processing in the Brain while Listening
Syntactic parsing is the task of assigning a syntactic structure to a se...
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12/25/2022
GAE-ISumm: Unsupervised Graph-Based Summarization of Indian Languages
Document summarization aims to create a precise and coherent summary of ...
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12/15/2022
Joint processing of linguistic properties in brains and language models
Language models have been shown to be very effective in predicting brain...
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05/03/2022
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity?
Several popular Transformer based language models have been found to be ...
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05/02/2022
Multi-Task Text Classification using Graph Convolutional Networks for Large-Scale Low Resource Language
Graph Convolutional Networks (GCN) have achieved state-of-art results on...
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04/18/2022
Visio-Linguistic Brain Encoding
Enabling effective brain-computer interfaces requires understanding how ...
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04/18/2022
Cross-view Brain Decoding
How the brain captures the meaning of linguistic stimuli across multiple...
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10/05/2020
Wound and episode level readmission risk or weeks to readmit: Why do patients get readmitted? How long does it take for a patient to get readmitted?
The Affordable care Act of 2010 had introduced Readmission reduction pro...
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09/26/2019
ExpertoCoder: Capturing Divergent Brain Regions Using Mixture of Regression Experts
fMRI semantic category understanding using linguistic encoding models at...
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03/20/2019
Affect in Tweets Using Experts Model
Estimating the intensity of emotion has gained significance as modern te...
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11/26/2018
Mixture of Regression Experts in fMRI Encoding
fMRI semantic category understanding using linguistic encoding models at...
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06/13/2018
fMRI Semantic Category Decoding using Linguistic Encoding of Word Embeddings
The dispute of how the human brain represents conceptual knowledge has b...
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10/08/2017