Mapping WordNet onto human brain connectome in emotion processing and semantic similarity recognition

Place of publication:

Information Processing & Management, 2021

Title:

Mapping WordNet onto human brain connectome in emotion processing and semantic similarity recognition

Authors:

Jan Kocoń, Marek Maziarz

Abstract:

In this article we extend a WordNet structure with relations linking synsets to Desikan’s brain regions. Based on lexicographer files and WordNet Domains the mapping goes from synset semantic categories to behavioural and cognitive functions and then directly to brain lobes. A human brain connectome (HBC) adjacency matrix was utilised to capture transition probabilities between brain regions. We evaluated the new structure in several tasks related to semantic similarity and emotion processing using brain-expanded Princeton WordNet (207k LUs) and Polish WordNet (285k LUs, 30k annotated with valence, arousal and 8 basic emotions). A novel HBC vector representation turned out to be significantly better than proposed baselines. URL: https://www.sciencedirect.com/science/article/pii/S0306457321000388

Link: ScienceDirect

Citation BibTeX:

@article{kocon2021mapping,
  title={Mapping WordNet onto human brain connectome in emotion processing and semantic similarity recognition},
  author={Koco{\'n}, Jan and Maziarz, Marek},
  journal={Information Processing \& Management},
  volume={58},
  number={3},
  pages={102530},
  year={2021},
  publisher={Elsevier}
}