Nabiha Asghar

Learn More
Affect Control Theory (ACT) is a mathematically well-defined model that makes accurate predictions about the affective content of human action. The affective predictions, which are derived from statistics about human actions and identities in real and laboratory environments, are shared normative behaviours that are believed to lead to solutions to everyday(More)
Affect Control Theory (ACT) is a mathematical model that makes accurate predictions about human behaviour across a wide range of settings. The predictions, which are derived from statistics about human actions and identities in real and laboratory environments, are shared prescriptive and affective behaviours that are believed to lead to solutions to(More)
We propose an online, end-to-end, neu-ral generative conversational model for open-domain dialog. It is trained using a unique combination of offline two-phase supervised learning and online human-in-the-loop active learning. While most existing research proposes offline supervision or hand-crafted reward functions for online reinforcement, we devise a(More)
—Automatic extraction of cause-effect relationships from natural language texts is a challenging open problem in Artificial Intelligence. Most of the early attempts at its solution used manually constructed linguistic and syntactic rules on small and domain-specific data sets. However, with the advent of big data, the availability of affordable computing(More)
I hereby declare that I am the sole author of this essay. This is a true copy of the essay, including any required final revisions, as accepted by my examiners. I understand that my essay may be made electronically available to the public. ii Abstract Grötzsch's Theorem is one of the most famous theorems in graph colouring theory. Younger [17] gave the(More)
  • 1