I am a Research Scientist at Disney Research, where I lead the Narrative Intelligence Group.

Computational Narrative Intelligence (CNI) aims to create intelligent machines that can understand and create stories, manage interactive narratives, and respond appropriately to stories told to them. I have made contributions to all major areas of CNI, ranging from story generation and interactive narratives to human cognition, from learning story knowledge to story understanding. [My Google Scholar Page]

My current research interests include:

  1. Story understanding, ranging from the micro-analysis of events and characters to the macro-analysis of story structure and quality.
  2. Story-powered interaction. Conversational characters situated in story environments and exhibiting personality via story-related behaviors.
  3. Story knowledge extraction. Extracting knowledge about events and literary characters from story text.
  4. Story assistance. Intelligent tools that assist human story writers and experience designers.

Previously, I worked as a postdoc with Leon Sigal and Jill Lehman. In 2014, I obtained my Ph.D. degree from Georgia Institute of Technology, working with Mark Riedl. My office is located at the Collaborative Innovation Center on the Carnegie Mellon University campus [MAP].

[Open Positions] I am always looking for motivated interns with knowledge of natural language understanding and neural networks. If you are interested, send me a CV.

[What's New] 2017 Papers So Far: 2x IJCAI, 1x IDC, 1x IVA, 1x AIIDE.

moc.hcraeseryensid@il.trebla :liamE

Research Areas

Story Understanding

Acquiring Story Knowledge

Story Generation

Narrative and Cognition