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Multitask Prompted Training Enables Zero-Shot Task Generalization
Large language models have recently been shown to attain reasonable zero-shot generalization on a diverse set of tasks (Brown et al., …
Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, BIG-Science contributors including, Andrea Santilli
PDF Cite ICLR 2022 (Oral)
Multitask Prompted Training Enables Zero-Shot Task Generalization
KERMIT: Complementing Transformer Architectures with Encoders of Explicit Syntactic Interpretations
Syntactic parsers have dominated natural language understanding for decades. Yet, their syntactic interpretations are losing centrality …
Fabio Massimo Zanzotto, Andrea Santilli, Leonardo Ranaldi, Dario Onorati, Pierfrancesco Tommasino, Francesca Fallucchi
PDF Cite DOI EMNLP 2020
KERMIT: Complementing Transformer Architectures with Encoders of Explicit Syntactic Interpretations
A Kernel-based Approach for Irony and Sarcasm Detection in Italian
This paper describes the UNITOR system that participated to the Irony Detection in Italian Tweets task (IronITA) within the context of …
Andrea Santilli, Danilo Croce, Roberto Basili
PDF Cite DOI EVALITA 2018
A Kernel-based Approach for Irony and Sarcasm Detection in Italian
SyntNN at SemEval-2018 Task 2: is Syntax Useful for Emoji Prediction? Embedding Syntactic Trees in Multi Layer Perceptrons
In this paper, we present SyntNN as a way to include traditional syntactic models in multilayer neural networks used in the task of …
Andrea Santilli, Fabio Massimo Zanzotto
PDF Cite DOI SemEval 2018
SyntNN at SemEval-2018 Task 2: is Syntax Useful for Emoji Prediction? Embedding Syntactic Trees in Multi Layer Perceptrons