LUKE-Graph: A Transformer-based Approach with Gated Relational Graph Attention for Cloze-style Reading Comprehension

Author:

Foolad ShimaORCID,Kiani KouroshORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference42 articles.

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2. Y. Liu, M. Ott, N. Goyal, J. Du, M. Joshi, D. Chen, O. Levy, M. Lewis, L. Zettlemoyer, V. Stoyanov, Roberta: A robustly optimized bert pretraining approach, ArXiv Prepr. ArXiv1907.11692. (2019).

3. Xlnet: Generalized autoregressive pretraining for language understanding;Yang;Adv. Neural Inf. Process. Syst.,2019

4. I. Beltagy, M.E. Peters, A. Cohan, Longformer: The Long-Document Transformer, (2020). https://doi.org/10.48550/arxiv.2004.05150.

5. DTC: Transfer learning for commonsense machine comprehension;Han;Neurocomputing,2020

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