Abstract
Recent research has investigated quantum NLP, designing algorithms that process natural language in quantum computers, and also quantum-inspired algorithms that improve NLP performance on classical computers. In this survey, we review representative methods at the intersection of NLP and quantum physics in the past ten years, categorizing them according to the use of quantum theory, the linguistic targets that are modeled, and the downstream application. The literature review ends with a discussion on the key factors to the success that has been achieved by existing work, as well as challenges ahead, with the goal of better understanding the promises and further directions.- Anthology ID:
- 2021.emnlp-main.254
- Volume:
- Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Month:
- November
- Year:
- 2021
- Address:
- Online and Punta Cana, Dominican Republic
- Editors:
- Marie-Francine Moens, Xuanjing Huang, Lucia Specia, Scott Wen-tau Yih
- Venue:
- EMNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 3172–3182
- Language:
- URL:
- https://aclanthology.org/2021.emnlp-main.254
- DOI:
- 10.18653/v1/2021.emnlp-main.254
- Cite (ACL):
- Sixuan Wu, Jian Li, Peng Zhang, and Yue Zhang. 2021. Natural Language Processing Meets Quantum Physics: A Survey and Categorization. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 3172–3182, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics.
- Cite (Informal):
- Natural Language Processing Meets Quantum Physics: A Survey and Categorization (Wu et al., EMNLP 2021)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/2021.emnlp-main.254.pdf