16 citations · 17 across the 4 of their papers we have counts for
4 papers
Quantum Statistics-Inspired Neural Attention
Aristotelis Charalampous, Sotirios Chatzis
Sequence-to-sequence (encoder-decoder) models with attention constitute a cornerstone of deep learning research, as they have enabled unprecedented sequential data modeling capabil…
Amortized Context Vector Inference for Sequence-to-Sequence Networks
Kyriacos Tolias, Ioannis Kourouklides, Sotirios Chatzis
Neural attention (NA) has become a key component of sequence-to-sequence models that yield state-of-the-art performance in as hard tasks as abstractive document summarization (ADS)…
Classifying document types to enhance search and recommendations in digital libraries
Aristotelis Charalampous, Petr Knoth
In this paper, we address the problem of classifying documents available from the global network of (open access) repositories according to their type. We show that the metadata pr…
Towards effective research recommender systems for repositories
Petr Knoth, Lucas Anastasiou, Aristotelis Charalampous +4
In this paper, we argue why and how the integration of recommender systems for research can enhance the functionality and user experience in repositories. We present the latest tec…