This work aims to provide a comparison among three models: Quantum-semantic model, Long Short Term Memory (LSTM), and Gated Recurrent Units (GRU). On the side of LSTM and GRU models, we check their ability to correctly find the name entity containing pair-words. On another side, we study the ability of the quantum-semantic model to correctly detect the entanglement between name’s words.
Шакер А., Альдарф А. (науч. рук. Бессмертный И.А.) A COMPARISON BETWEEN QUANTUM SEMANTIC, LSTM AND GRU MODELS IN FINDING ENTANGLEMENT OF NAME ENTITY'S WORDS // Сборник тезисов докладов конгресса молодых ученых. Электронное издание. – СПб: Университет ИТМО, [2022]. URL: https://kmu.itmo.ru/digests/article/8905