@inproceedings{234034ea13054665938ddefac7531743,
title = "A vector field approach to lexical semantics",
abstract = "We report work in progress on measuring “forces” underlying the semantic drift by comparing it with plate tectonics in geology. Based on a brief survey of energy as a key concept in machine learning, and the Aristotelian concept of potentiality vs. actuality allowing for the study of energy and dynamics in language, we propose a field approach to lexical analysis. Until evidence to the contrary, it was assumed that a classical field in physics is appropriate to model word semantics. The approach used the distributional hypothesis to statistically model word meaning.We do not address the modelling of sentence meaning here. The computability of a vector field for the indexing vocabulary of the Reuters- 21578 test collection by an emergent self-organizing map suggests that energy minima as learnables in machine learning presuppose concepts as energy minima in cognition. Our finding needs to be confirmed by a systematic evaluation.",
author = "Peter Wittek and S{\'a}ndor Dar{\'a}nyi and Liu, \{Ying Hsang\}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 8th International Conference on Quantum Interaction, QI 2014 ; Conference date: 30-06-2014 Through 03-07-2014",
year = "2015",
doi = "10.1007/978-3-319-15931-7\_7",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "78--89",
editor = "Kirsty Kitto and Claudia Bergomi and Thomas Filk and Harald Atmanspacher",
booktitle = "Quantum Interaction - 8th International Conference, QI 2014, Revised Selected Papers",
address = "Germany",
}