6 citations · 11 across the 9 of their papers we have counts for
4 papers · 1 filter
NeuralFastLAS: Fast Logic-Based Learning from Raw Data
Theo Charalambous, Yaniv Aspis, Alessandra Russo
Symbolic rule learners generate interpretable solutions, however they require the input to be encoded symbolically. Neuro-symbolic approaches overcome this issue by mapping raw dat…
Reasoning over the Behaviour of Objects in Video-Clips for Adverb-Type Recognition
Amrit Diggavi Seshadri, Alessandra Russo
In this work, following the intuition that adverbs describing scene-sequences are best identified by reasoning over high-level concepts of object-behavior, we propose the design of…
Towards preserving word order importance through Forced Invalidation
Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo
Large pre-trained language models such as BERT have been widely used as a framework for natural language understanding (NLU) tasks. However, recent findings have revealed that pre-…
Neuro-symbolic Rule Learning in Real-world Classification Tasks
Kexin Gu Baugh, Nuri Cingillioglu, Alessandra Russo
Neuro-symbolic rule learning has attracted lots of attention as it offers better interpretability than pure neural models and scales better than symbolic rule learning. A recent ap…