Mapping Language to Vision in a Real-World Robotic Scenario

@article{x0160tepx00E1novx00E12018MappingLT,
  title={Mapping Language to Vision in a Real-World Robotic Scenario},
  author={Karla x0160tepx00E1novx00E1 and Frederico B. Klein and Angelo Cangelosi and Michal Vavrex010Dka},
  journal={IEEE Transactions on Cognitive and Developmental Systems},
  year={2018},
  volume={10},
  pages={784-794}
}
Language has evolved over centuries and was gradually enriched and improved. The question, how people find assignment between meanings and referents, remains unanswered. There are many of computational models based on the statistical co-occurrence of meaning-reference pairs. Unfortunately, these mapping strategies show poor performance in an environment with a higher number of objects or noise. Therefore, we propose a more robust noise-resistant algorithm. We tested the performance of this… CONTINUE READING

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