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A new gameplay video is up! Watch Sam play Phrase Detectives to learn more about our game and how to play it. youtu.be/XQcioxCWVn4 #gameplay #NLProc #langtwt #CitizenScience #Gamification #MachineLearning

If you missed our DALI: End of Project Workshop you can find the videos and slides on our site dali.eecs.qmul.ac.uk/end-of-project… Thank you Barbara Plank and Dr. (!!!) Josh Aaron Miller for joining us!

Here is sneak peek of LingoTowns! Help computers learn more about ambiguity in language by exploring towns and uncovering new documents #NLProc #CitizenScience #gamedev #gamification #MachineLearning

Game AI will be returning on the 15th of Dec! Our first special event back will be held in conjunction with Queen Mary University of London QMUL Game AI group , The Alan Turing Institute and iGGi PhD. Attendance is free, but we do have limited spaces. More information to follow! meetup.com/Game-AI-Meetup… #meetup #AI #Games

The website for LREC 2022 Games and Natural Language Processing Workshop is up. We invited both Jérôme Waldispühl and Hikaru YOKONO to speak in our workshop. More information soon to come! site: gamesandnlp.com

Want to know more about LingoTowns? This video explain the different features of LingoTowns, a game-with-a-purpose that features the mini games; PhraseFarm, CafeClicker and Lingotorium. youtu.be/d3a0i1RkYv0 #NLProc #CitizenScience #gamedev #gamification #MachineLearning

The submission deadline for the LREC2022 Games and NLP Workshop is on April 8th gamesandnlp.com

It's finally out! Your one-stop resource for annotation analysis: we cover agreement, aggregation, and training methods for multi-annotated corpora. Have a look! Massimo Poesio Ron Artstein

Game AI will be returning on the 9th of Feb! Our first special event back will be held in conjunction with Queen Mary University of London QMUL Game AI group , The Alan Turing Institute and iGGi PhD . Attendance is free, but we do have limited spaces. meetup.com/Game-AI-Meetup… #meetup #AI #Games #London #QMUL

This year’s edition of the Learning-With-Disagreements Shared Task at SemEval was a great success, with more than 30 submissions! #NLProc #MachineLearning #AcademicTwitter #CompLing

The objective of these shared tasks is to make available datasets for subjective tasks in which all interpretations are preserved. The results are at: bit.ly/3TqTIKk #NLProc #MachineLearning #AcademicTwitter #CompLing