645 citations · 700 across the 6 of their papers we have counts for
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cs.CL2021★ 16 cited
Multi-Task Attentive Residual Networks for Argument Mining
Andrea Galassi, Marco Lippi, Paolo Torroni
We explore the use of residual networks and neural attention for multiple argument mining tasks. We propose a residual architecture that exploits attention, multi-task learning, an…
cs.CL2019★ 645 cited
Attention in Natural Language Processing
Andrea Galassi, Marco Lippi, Paolo Torroni
Attention is an increasingly popular mechanism used in a wide range of neural architectures. The mechanism itself has been realized in a variety of formats. However, because of the…