[HTML][HTML] Knowledge graphs as tools for explainable machine learning: A survey
I Tiddi, S Schlobach - Artificial Intelligence, 2022 - Elsevier
This paper provides an extensive overview of the use of knowledge graphs in the context of
Explainable Machine Learning. As of late, explainable AI has become a very active field of …
Explainable Machine Learning. As of late, explainable AI has become a very active field of …
VisualSem: a high-quality knowledge graph for vision and language
An exciting frontier in natural language understanding (NLU) and generation (NLG) calls for
(vision-and-) language models that can efficiently access external structured knowledge …
(vision-and-) language models that can efficiently access external structured knowledge …
Mmpedia: A large-scale multi-modal knowledge graph
Abstract Knowledge graphs serve as crucial resources for various applications. However,
most existing knowledge graphs present symbolic knowledge in the form of natural …
most existing knowledge graphs present symbolic knowledge in the form of natural …
Violence detection explanation via semantic roles embeddings
Background Emergency room reports pose specific challenges to natural language
processing techniques. In this setting, violence episodes on women, elderly and children are …
processing techniques. In this setting, violence episodes on women, elderly and children are …
SUMEX: A hybrid framework for Semantic textUal siMilarity and EXplanation generation
Measuring semantic similarity between two pieces of text is a widely known problem in
Natural language processing (NLP). It has many applications, such as finding similar …
Natural language processing (NLP). It has many applications, such as finding similar …
Semantically aware text categorisation for metadata annotation
G Carducci, M Leontino, DP Radicioni… - … Conference on Digital …, 2019 - Springer
In this paper we illustrate a system aimed at solving a long-standing and challenging
problem: acquiring a classifier to automatically annotate bibliographic records by starting …
problem: acquiring a classifier to automatically annotate bibliographic records by starting …
COVER: a linguistic resource combining common sense and lexicographic information
Lexical resources are fundamental to tackle many tasks that are central to present and
prospective research in Text Mining, Information Retrieval, and connected to Natural …
prospective research in Text Mining, Information Retrieval, and connected to Natural …
Dissimilar similarities: Comparing human and statistical similarity evaluation in medical AI
This study explores the concept of similarity in machine learning (ML) and its congruence
with human judgment in medical contexts, focusing primarily on radiology. We conducted a …
with human judgment in medical contexts, focusing primarily on radiology. We conducted a …
Conceptual abstractness: from nouns to verbs
Investigating lexical access, representation and processing involves dealing with conceptual
abstractness: abstract concepts are known to be more quickly and easily delivered in human …
abstractness: abstract concepts are known to be more quickly and easily delivered in human …
[PDF][PDF] Selected list of Papers by Topic
A Lieto - antoniolieto.net
Selected list of Papers by Topic Page 1 Selected list of Papers by Topic Antonio Lieto University
of Turin, Dept. of Computer Science and ICAR-CNR, Palermo, Italy antonio.lieto@unito.it …
of Turin, Dept. of Computer Science and ICAR-CNR, Palermo, Italy antonio.lieto@unito.it …