Using quantum physics for word representation has the potential to help including more features for words; more specifically, quantum/quantum-inspired algorithms can better help model word ambiguity and hyponymy relations

Carleton College

Both quantum-inspired algorithms and quantum algorithms can model different features in the language; these are broken down into word representation and composition

Modeling Targets of Quantum NLP

Natural Language Processing Meets Quantum Physics: A Survey and Categorization(https://aclanthology.org/2021.emnlp-main.254) (Wu et al., EMNLP 2021)

Natural Language Processing Meets Quantum Physics: A Survey and Categorization (Wu et al.)

Word representation modeling targets of quantum NLP

Algorithms based on quantum physics can help model processes related to the composition of lexical semantic units given the meaning of a word. This includes modeling term dependencies and modeling grammar

Learn Before

Related