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cs.CL2022
Syntax-informed Question Answering with Heterogeneous Graph Transformer
Fangyi Zhu, Lok You Tan, See-Kiong Ng +1
Large neural language models are steadily contributing state-of-the-art performance to question answering and other natural language and information processing tasks. These models…
cs.CL2022
COOL, a Context Outlooker, and its Application to Question Answering and other Natural Language Processing Tasks
Fangyi Zhu, See-Kiong Ng, Stéphane Bressan
Vision outlooker improves the performance of vision transformers, which implements a self-attention mechanism by adding an outlook attention, a form of local attention. In natural…