Navigating the Dynamics of Financial Embeddings over Time

no code implementations • 1 Jul 2020 • Antonia Gogoglou, Brian Nguyen, Alan Salimov, Jonathan Rider, C. Bayan Bruss

Financial transactions constitute connections between entities and through these connections a large scale heterogeneous weighted graph is formulated.

Graph Representation Learning

An Adversarial Learning Framework For A Persona-Based Multi-Turn Dialogue Model

no code implementations • NAACL 2019 • Oluwatobi Olabiyi, Anish Khazane, Alan Salimov, Erik T. Mueller

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.

Attribute

Multi-turn Dialogue Response Generation in an Adversarial Learning Framework

no code implementations • WS 2019 • Oluwatobi Olabiyi, Alan Salimov, Anish Khazane, Erik T. Mueller

We propose an adversarial learning approach for generating multi-turn dialogue responses.

Response Generation Word Embeddings