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Found 7 papers, 2 papers with code
On the Capabilities of Pointer Networks for Deep Deductive Reasoning
The importance of building neural networks that can learn to reason has been well recognized in the neuro-symbolic community.
Neural Fuzzy Extractors: A Secure Way to Use Artificial Neural Networks for Biometric User Authentication
Powered by new advances in sensor development and artificial intelligence, the decreasing cost of computation, and the pervasiveness of handheld computation devices, biometric user authentication (and identification) is rapidly becoming ubiquitous.
Completion Reasoning Emulation for the Description Logic EL+
We present a new approach to integrating deep learning with knowledge-based systems that we believe shows promise.
Reasoning over RDF Knowledge Bases using Deep Learning
Semantic Web knowledge representation standards, and in particular RDF and OWL, often come endowed with a formal semantics which is considered to be of fundamental importance for the field.
Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media
With the rise of social media, millions of people are routinely expressing their moods, feelings, and daily struggles with mental health issues on social media platforms like Twitter.
On the Challenges of Sentiment Analysis for Dynamic Events
With the proliferation of social media over the last decade, determining people's attitude with respect to a specific topic, document, interaction or events has fueled research interest in natural language processing and introduced a new channel called sentiment and emotion analysis.
Fuzzy Based Implicit Sentiment Analysis on Quantitative Sentences
On the other hand, the bulk of current research has been devoted to study the subjective sentences which contain opinion keywords and limited work has been reported for objective statements that imply sentiment.
