51 citations · 131 across the 14 of their papers we have counts for
14 papers
Sleight of Word Benchmark: Can Language Models Notice If Their Own Output Was Tampered With?
Alberto Cetoli
The output of a Language Model can be tampered with \emph{while} the model is writing it. A simple test can thus be constructed by evaluating the model's perception of this externa…
Semantic Reasoning with Differentiable Graph Transformations
Alberto Cetoli
This paper introduces a differentiable semantic reasoner, where rules are presented as a relevant set of graph transformations. These rules can be written manually or inferred by a…
Dispatcher: A Message-Passing Approach To Language Modelling
Alberto Cetoli
This paper proposes a message-passing mechanism to address language modelling. A new layer type is introduced that aims to substitute self-attention for unidirectional sequence gen…
Pynsett: A programmable relation extractor
Alberto Cetoli
This paper proposes a programmable relation extraction method for the English language by parsing texts into semantic graphs. A person can define rules in plain English that act as…
Named Entity Disambiguation using Deep Learning on Graphs
Alberto Cetoli, Mohammad Akbari, Stefano Bragaglia +2
We tackle \ac{NED} by comparing entities in short sentences with \wikidata{} graphs. Creating a context vector from graphs through deep learning is a challenging problem that has n…
Graph Convolutional Networks for Named Entity Recognition
A. Cetoli, S. Bragaglia, A. D. O'Harney +1
In this paper we investigate the role of the dependency tree in a named entity recognizer upon using a set of GCN. We perform a comparison among different NER architectures and sho…