Actively Learning to Rank Semantic Associations for Personalized Contextual Exploration of Knowledge Graphs
Published:
I presented our work at the Extended Semantic Web Conference. See the video recoding here.
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publications
talks
Towards Encoding Time in Text-Based Entity Embeddings
Published:
I presented our work at the International Semantic Web Conference, see the video recoding here.
Logic Tensor Networks and Deductive Reasoning
Published:
In this talk, I’ve presented an analysis of logic tensor networks and their capabilities to do deductive reasoning. You can find the paper here. A kind and related tweet.
Two Approaches to Factor Time into Word and Entity Representations Learned from Text
Published:
In this talk, Prof. Matteo Palmonari (unimib) and I have introduced two methods to account for time into distributional representations. This talk is based on two of our papers: “Training Temporal Word Embeddings with a Compass” (AAAI) and “Towards Encoding Time in Text-Based Entity Embeddings” (ISWC).
Fantastic Embeddings and How to Align Them: Zero-Shot Inference in a Multi-Shop Scenario
Published:
I presented our paper on fantastic embeddings we show how to efficiently generate embeddings of products and show an interesting case in which we align the embedding of multiple shops.
An Introduction to Neural-Symbolic Learning and Reasoning
Published:
I have been (virtually) invited at Coveo Labs to talk about recent developments Neural Symbolic Learning and Reasoning. Focus of the talk were Logic Tensor Networks, introduced by Serafini and Garcez in 2016.
Vector Space Alignment for Semantic Change Analysis
Published:
I gave a talk about our work on vector space alignment to study semantic change at Tilburg University, invited by Assistant Prof. Giovanni Cassani.