Phoster

Research and Development

Category: Artificial Intelligence

Evaluating Argumentation and Debate

Assessing Argument Quality Computational Argumentation Quality Assessment in Natural Language by Henning Wachsmuth, Nona Naderi, Yufang Hou, Yonatan Bilu, Vinodkumar Prabhakaran, Tim A. Thijm, Graeme Hirst and Benno Stein, Rhetoric, Logic, and Dialectic: Advancing Theory-based Argument Quality Assessment in Natural Language Processing by Anne Lauscher, Lily Ng, Courtney Napoles and Joel Tetreault, Argumentation Quality Assessment: […]

Computational Literary Aesthetics

Introduction The Poetics, Aesthetics, and Philosophy of Narrative by Noël Carroll, Literary Aesthetics: A Reader by Alan Singer and Allen Dunn, Aesthetics and Literature by David Davies, The Aesthetics of Mimesis by Stephen Halliwell, Film Art: An Introduction by David Bordwell, Kristin Thompson and Jeff Smith, Aesthetics and Film by Katherine Thomson-Jones, The Aesthetics and […]

Modeling and Predicting Audience Response

Introduction Entertainment Science: Data Analytics and Practical Theory for Movies, Games, Books, and Music by Thorsten Hennig-Thurau and Mark B. Houston, Leveraging Analytics to Produce Compelling and Profitable Film Content by Ronny Behrens, Natasha Z. Foutz, Michael Franklin, Jannis Funk, Fernanda Gutierrez-Navratil, Julian Hofmann and Ulrike Leibfried, Movie Success Prediction Using Historical and Current Data […]

Digital Humanities and Machine Ethics

Introduction A Survey on Machine Reading Comprehension Systems by Razieh Baradaran, Razieh Ghiasi and Hossein Amirkhani, Machine Reading Comprehension: A Literature Review by Xin Zhang, An Yang, Sujian Li and Yizhong Wang and Teaching Machines to Read and Comprehend by Karl M. Hermann, Tomas Kocisky, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman and Phil […]

Machine Reading Comprehension and Artificial Social Cognition

Introduction A Survey on Machine Reading Comprehension Systems by Razieh Baradaran, Razieh Ghiasi and Hossein Amirkhani, Machine Reading Comprehension: A Literature Review by Xin Zhang, An Yang, Sujian Li and Yizhong Wang and Teaching Machines to Read and Comprehend by Karl M. Hermann, Tomas Kocisky, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman and Phil […]

Computational Narratology

Introduction Narrative Models: Narratology Meets Artificial Intelligence by Pablo Gervás, Birte Lönneker-Rodman, Jan C. Meister and Federico Peinado, Computational Modeling of Narrative by Inderjeet Mani, An Introduction to the Structural Analysis of Narrative by Roland Barthes and Lionel Duisit, Varieties of Narrative Analysis edited by James A. Holstein and Jaber F. Gubrium and Towards a […]

Advancing Character Education with Interactive Storytelling and Adaptive Instructional Systems

Introduction Interactive stories can be utilized as classroom and homework exercises and activities for character education programs. Types of interactive stories include: guided play, role-playing games, the case method, decision games, simulations, literature and literary discussions, story-based items, digital gamebooks, interactive films, and serious games. The latter four types of interactive stories (story-based items, digital […]

Neurosymbolic Mental Simulation and Imagination

Introduction A Neural-symbolic Framework for Mental Simulation by Michael Kissner, Simulation as an Engine of Physical Scene Understanding by Peter W. Battaglia, Jessica B. Hamrick and Joshua B. Tenenbaum, Analogues of Mental Simulation and Imagination in Deep Learning by Jessica B. Hamrick and Imagination Machines: A New Challenge for Artificial Intelligence by Sridhar Mahadevan. GlossaryComputer […]

Neurosymbolic Narrative Intelligence

Introduction Narrative Intelligence edited by Michael Mateas and Phoebe Sengers and Computational Narrative Intelligence: A Human-centered Goal for Artificial Intelligence by Mark O. Riedl. GlossaryInteractive StorytellingNarrativeNarratology Narrative Question Answering The NarrativeQA Reading Comprehension Challenge by Tomáš Kočiský, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis and Edward Grefenstette, A Corpus and Cloze […]

Neurosymbolic Learning and Reasoning

Introduction Neural-symbolic Learning and Reasoning: A Survey and Interpretation by Tarek R. Besold, Artur S. d'Avila Garcez, Sebastian Bader, Howard Bowman, Pedro Domingos, Pascal Hitzler, Kai-Uwe Kühnberger, Luis C. Lamb, Daniel Lowd, Priscila M. V. Lima, Leo de Penning, Gadi Pinkas, Hoifung Poon and Gerson Zaverucha, Dimensions of Neural-symbolic Integration - A Structured Survey by […]