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Concept Generation in Language Evolution

01/25/2016

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by Martha Lewis, et al.

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This thesis investigates the generation of new concepts from combinations of existing concepts as a language evolves. We give a method for combining concepts, and will be investigating the utility of composite concepts in language evolution and thence the utility of concept generation.

Martha Lewis
21 publications
Jonathan Lawry
17 publications

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research

∙ 01/25/2016

Emerging Dimension Weights in a Conceptual Spaces Model of Concept Combination

We investigate the generation of new concepts from combinations of prope...

0 Martha Lewis, et al. ∙

research

∙ 11/16/2021

Generative Pre-Trained Transformer for Design Concept Generation: An Exploration

Novel concepts are essential for design innovation and can be generated ...

0 Qihao Zhu, et al. ∙

research

∙ 10/29/2021

Granule Description based on Compound Concepts

Concise granule descriptions for describable granules and approaching de...

0 Jianqin Zhou, et al. ∙

research

∙ 05/17/2018

Learning is Compiling: Experience Shapes Concept Learning by Combining Primitives in a Language of Thought

Recent approaches to human concept learning have successfully combined t...

0 Pablo Tano, et al. ∙

research

∙ 03/27/2007

Automatic Generation of Benchmarks for Plagiarism Detection Tools using Grammatical Evolution

This paper has been withdrawn by the authors due to a major rewriting....

0 Manuel Cebrian, et al. ∙

research

∙ 04/20/2020

Compositionality and Generalization in Emergent Languages

Natural language allows us to refer to novel composite concepts by combi...

0 Rahma Chaabouni, et al. ∙

research

∙ 05/19/2023

CCGen: Explainable Complementary Concept Generation in E-Commerce

We propose and study Complementary Concept Generation (CCGen): given a c...

0 Jie Huang, et al. ∙