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Literary linguistics: Open Access research in English language

Strathprints makes available Open Access scholarly outputs by English Studies at Strathclyde. Particular research specialisms include literary linguistics, the study of literary texts using techniques drawn from linguistics and cognitive science.

The team also demonstrates research expertise in Renaissance studies, researching Renaissance literature, the history of ideas and language and cultural history.

Explore some of this Open Access research from English. Or explore all Strathclyde Open Access research...

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Jump to: 2020 | 2019 | 2018
Number of items: 5.

2020

Stephenson, Matthew and Anderson, Damien and Khalifa, Ahmed and Levine, John and Renz, Jochen and Togelius, Julian and Salge, Christoph; (2020) A continuous information gain measure to find the most discriminatory problems for AI benchmarking. In: 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings. IEEE, GBR. ISBN 9781728169293

Dubiel, Mateusz and Halvey, Martin and Azzopardi, Leif and Anderson, Damien and Daronnat, Sylvain (2020) Conversational strategies : impact on search performance in a goal-oriented task. In: The Third International Workshop on Conversational Approaches to Information Retrieval, 2020-03-18 - 2020-03-18.

2019

Bontrager, Philip and Khalifa, Ahmed and Anderson, Damien and Stephenson, Matthew and Salge, Christoph and Togelius, Julian (2019) "Superstition" in the network : Deep reinforcement learning plays deceptive games. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 15 (1). pp. 10-16. ISSN 2334-0924

Anderson, Damien and Rodgers, Philip and Levine, John and Guerrero-Romero, Cristina and Perez-Liebana, Diego (2019) Ensemble Decision Systems for general video game playing. In: IEEE Conference on Games (COG) 2019, 2019-08-20 - 2019-08-23.

2018

Anderson, Damien and Stephenson, Matthew and Togelius, Julian and Salge, Christian and Levine, John and Renz, Jochen (2018) Deceptive games. Lecture Notes in Computer Science, 10784. pp. 376-391. ISSN 0302-9743

This list was generated on Fri Jul 1 02:26:51 2022 BST.