Chris Madge

According to our database, Chris Madge authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Large Language Models as Minecraft Agents.

Chris Madge, Massimo Poesio

CoRR, 2024

2023

The Onboarding Phase in a Game for Text Labelling: Comparing the Effect of Animated vs. Textual Onboarding on Player Experience and Accuracy.

Fatima Althani, Chris Madge, Massimo Poesio

Proceedings of the IEEE Conference on Games, 2023

2022

Coreference Annotation of an Arabic Corpus using a Virtual World Game.

Wateen A. Aliady, Abdulrahman Aloraini, Christopher Madge, Juntao Yu, Richard A. Bartle, Massimo Poesio

Proceedings of the The Seventh Arabic Natural Language Processing Workshop, 2022

LingoTowns: A Virtual World For Natural Language Annotation and Language Learning.

Chris Madge, Jussi Brightmore, Doruk Kicikoglu, Fatima Althani, Richard A. Bartle, Jon Chamberlain, Udo Kruschwitz, Massimo Poesio

Proceedings of the Extended Abstracts of the Annual Symposium on Computer-Human Interaction in Play, 2022

2020

Gamifying language resource acquisition.

Christopher Madge

PhD thesis, 2020

2019

Progression in a Language Annotation Game with a Purpose.

Chris Madge, Juntao Yu, Jon Chamberlain, Udo Kruschwitz, Silviu Paun, Massimo Poesio

Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing, 2019

Making text annotation fun with a clicker game.

Chris Madge, Richard A. Bartle, Jon Chamberlain, Udo Kruschwitz, Massimo Poesio

Proceedings of the 14th International Conference on the Foundations of Digital Games, 2019

The Design Of A Clicker Game for Text Labelling.

Chris Madge, Richard A. Bartle, Jon Chamberlain, Udo Kruschwitz, Massimo Poesio

Proceedings of the IEEE Conference on Games, 2019

Incremental Game Mechanics Applied to Text Annotation.

Christopher Madge, Richard A. Bartle, Jon Chamberlain, Udo Kruschwitz, Massimo Poesio

Proceedings of the Annual Symposium on Computer-Human Interaction in Play, 2019

Crowdsourcing and Aggregating Nested Markable Annotations.

Chris Madge, Juntao Yu, Jon Chamberlain, Udo Kruschwitz, Silviu Paun, Massimo Poesio

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2017

Experiment-Driven Development of a GWAP for Marking Segments in Text.

Chris Madge, Jon Chamberlain, Udo Kruschwitz, Massimo Poesio

Proceedings of the Extended Abstracts Publication of the Annual Symposium on Computer-Human Interaction in Play, 2017