13 citations · 21 across the 3 of their papers we have counts for
5 papers
SemTUI: a Framework for the Interactive Semantic Enrichment of Tabular Data
Marco Ripamonti, Flavio De Paoli, Matteo Palmonari
The large availability of datasets fosters the use of \acrshort{ml} and \acrshort{ai} technologies to gather insights, study trends, and predict unseen behaviours out of the world…
SWEAT: Scoring Polarization of Topics across Different Corpora
Federico Bianchi, Marco Marelli, Paolo Nicoli +1
Understanding differences of viewpoints across corpora is a fundamental task for computational social sciences. In this paper, we propose the Sliced Word Embedding Association Test…
Knowledge Graph Embeddings and Explainable AI
Federico Bianchi, Gaetano Rossiello, Luca Costabello +2
Knowledge graph embeddings are now a widely adopted approach to knowledge representation in which entities and relationships are embedded in vector spaces. In this chapter, we intr…
Compass-aligned Distributional Embeddings for Studying Semantic Differences across Corpora
Federico Bianchi, Valerio Di Carlo, Paolo Nicoli +1
Word2vec is one of the most used algorithms to generate word embeddings because of a good mix of efficiency, quality of the generated representations and cognitive grounding. Howev…
Training Temporal Word Embeddings with a Compass
Valerio Di Carlo, Federico Bianchi, Matteo Palmonari
Temporal word embeddings have been proposed to support the analysis of word meaning shifts during time and to study the evolution of languages. Different approaches have been propo…