645 citations · 876 across the 11 of their papers we have counts for
6 papers · 1 filter
Fast Vocabulary Transfer for Language Model Compression
Leonidas Gee, Andrea Zugarini, Leonardo Rigutini +1
Real-world business applications require a trade-off between language model performance and size. We propose a new method for model compression that relies on vocabulary transfer.…
Combining Transformers with Natural Language Explanations
Federico Ruggeri, Marco Lippi, Paolo Torroni
Many NLP applications require models to be interpretable. However, many successful neural architectures, including transformers, still lack effective interpretation methods. A poss…
Tree-Constrained Graph Neural Networks For Argument Mining
Federico Ruggeri, Marco Lippi, Paolo Torroni
We propose a novel architecture for Graph Neural Networks that is inspired by the idea behind Tree Kernels of measuring similarity between trees by taking into account their common…
An Argumentative Dialogue System for COVID-19 Vaccine Information
Bettina Fazzinga, Andrea Galassi, Paolo Torroni
Dialogue systems are widely used in AI to support timely and interactive communication with users. We propose a general-purpose dialogue system architecture that leverages computat…
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…
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…