Opendata, web and dolomites

GroundForce SIGNED

GroundForce: Grounding Natural Language Semantics in Video Games

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "GroundForce" data sheet

The following table provides information about the project.

Coordinator
THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE 

Organization address
address: TRINITY LANE THE OLD SCHOOLS
city: CAMBRIDGE
postcode: CB2 1TN
website: www.cam.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 149˙867 €
 EC max contribution 149˙867 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-PoC
 Funding Scheme ERC-POC
 Starting year 2016
 Duration (year-month-day) from 2016-10-01   to  2018-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE UK (CAMBRIDGE) coordinator 149˙867.00

Map

 Project objective

'While language is a natural way to interact with artificial characters or agents in video games, communication with agents currently tends to be limited to menu systems. To achieve smooth linguistic communication, utterances need to be grounded in the situation in which they occur. That is, the meanings of utterances must be learned from observing their use in some naturally occurring perceptual context. Recent years have seen much progress in the development of visually- or auditorily-grounded language understanding using novel machine learning techniques such as deep learning. At the same time, companies like Google DeepMind have introduced deep learning models that can learn to play games at super-human levels. We propose to take this research to the next step, by grounding natural language in video games.

Grounding natural language in video games yields two main benefits. The first benefit is commercial in nature: with the global market for video games expected to reach $100 billion by 2017, there is clearly a large demand for more sophisticated interaction with in-game agents. Secondly, video games are a natural way to explore artificial intelligence techniques in a 'simulated' world that is easier to understand computationally than the extremely complicated 'real' world.

The current project will explore natural language grounding in a small number of appropriate games. Once we are capable of grounding natural language in these games, we can translate utterances into straightforward actions for artificial agents. An example might be telling your team members to follow you, to take the left flank, or to duck when they are being shot at. Given the recent developments in machine learning and grounded language understanding, we believe that now is the perfect moment to explore these possibilities further. '

 Publications

year authors and title journal last update
List of publications.
2017 Andrew J. Anderson, Douwe Kiela, Stephen Clark and Massimo Poesio
Visually Grounded and Textual Semantic Models Differentially Decode Brain Activity Associated with Concrete and Abstract Nouns
published pages: 17-30, ISSN: 2307-387X, DOI:
Transactions of the Association for Computational Linguistics 5 2019-06-13
2016 Douwe Kiela, Anita Lilla Verő and Stephen Clark
Comparing Data Sources and Architectures for Deep Visual Representation Learning in Semantics
published pages: 447-456, ISSN: , DOI:
Proceedings of the Empirical Methods in Natural Language Processing Conference (EMNLP 2016) 2019-06-13
2017 Luana Bulat, Stephen Clark and Ekaterina Shutova
Speaking, Seeing, Understanding: Correlating Semantic Models with Conceptual Representation in the Brain
published pages: 1092-1102, ISSN: , DOI:
Proceedings of the Empirical Methods in Natural Language Processing Conference (EMNLP 2017) 2019-06-13
2017 Douwe Kiela and Stephen Clark
Learning Neural Audio Embeddings for Grounded Semantics in Auditory Perception
published pages: 1003-1030, ISSN: 1076-9757, DOI:
Journal of Artificial Intelligence Research 60 2019-06-13
2017 Luana Bulat, Stephen Clark and Ekaterina Shutova
Modelling Metaphor with Attribute-based Semantics
published pages: 523-528, ISSN: , DOI:
Proceedings of the short papers of the 15th Conference of the European Chapter of the Association for Computational Linguistics 2019-06-13
2016 Douwe Kiela, Luana Bulat, Anita Lilla Verő and Stephen Clark
Virtual Embodiment: A Scalable Long-Term Strategy for Artificial Intelligence research
published pages: , ISSN: , DOI:
NIPS Workshop on Machine Intelligence (MAIN) 2019-06-13

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "GROUNDFORCE" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "GROUNDFORCE" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)

DISINTEGRATION (2019)

The Mass Politics of Disintegration

Read More  

PROGRESS (2019)

The Enemy of the Good: Towards a Theory of Moral Progress

Read More  

Photopharm (2020)

Photopharmacology: From Academia toward the Clinic.

Read More