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Found 6 papers, 3 papers with code
Ontological Relations from Word Embeddings
It has been reliably shown that the similarity of word embeddings obtained from popular neural models such as BERT approximates effectively a form of semantic similarity of the meaning of those words.
TaBIIC: Taxonomy Building through Iterative and Interactive Clustering
Building taxonomies is often a significant part of building an ontology, and many attempts have been made to automate the creation of such taxonomies from relevant data.
Finding Concept Representations in Neural Networks with Self-Organizing Maps
In sufficiently complex tasks, it is expected that as a side effect of learning to solve a problem, a neural network will learn relevant abstractions of the representation of that problem.
PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips
In some data-sensitive fields such as education or medicine, access to public datasets is even more limited.
Introducing CALMED: Multimodal Annotated Dataset for Emotion Detection in Children with Autism
Our experience and methods described here, together with the dataset shared, aim to contribute to future research applications of affective computing in ASD, which has the potential to create systems to improve the lives of people with ASD.
Towards Sharing Task Environments to Support Reproducible Evaluations of Interactive Recommender Systems
Beyond sharing datasets or simulations, we believe the Recommender Systems (RS) community should share Task Environments.
