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Navigating the Dynamics of Financial Embeddings over Time
Financial transactions constitute connections between entities and through these connections a large scale heterogeneous weighted graph is formulated.
An Adversarial Learning Framework For A Persona-Based Multi-Turn Dialogue Model
In this paper, we extend the persona-based sequence-to-sequence (Seq2Seq) neural network conversation model to a multi-turn dialogue scenario by modifying the state-of-the-art hredGAN architecture to simultaneously capture utterance attributes such as speaker identity, dialogue topic, speaker sentiments and so on.
Multi-turn Dialogue Response Generation in an Adversarial Learning Framework
We propose an adversarial learning approach for generating multi-turn dialogue responses.
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