TY - GEN
T1 - A vector field approach to lexical semantics
AU - Wittek, Peter
AU - Darányi, Sándor
AU - Liu, Ying Hsang
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84923622315&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-15931-7_7
DO - 10.1007/978-3-319-15931-7_7
M3 - Conference contribution
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 78
EP - 89
BT - Quantum Interaction - 8th International Conference, QI 2014, Revised Selected Papers
A2 - Kitto, Kirsty
A2 - Bergomi, Claudia
A2 - Filk, Thomas
A2 - Atmanspacher, Harald
PB - Springer Verlag
T2 - 8th International Conference on Quantum Interaction, QI 2014
Y2 - 30 June 2014 through 3 July 2014
ER -