A Quantum-Like Approach to Word Sense Disambiguation

Fabio Tamburini


Abstract
This paper presents a novel algorithm for Word Sense Disambiguation (WSD) based on Quantum Probability Theory. The Quantum WSD algorithm requires concepts representations as vectors in the complex domain and thus we have developed a technique for computing complex word and sentence embeddings based on the Paragraph Vectors algorithm. Despite the proposed method is quite simple and that it does not require long training phases, when it is evaluated on a standardized benchmark for this task it exhibits state-of-the-art (SOTA) performances.
Anthology ID:
R19-1135
Volume:
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
Month:
September
Year:
2019
Address:
Varna, Bulgaria
Venue:
RANLP
SIG:
Publisher:
INCOMA Ltd.
Note:
Pages:
1176–1185
Language:
URL:
https://aclanthology.org/R19-1135
DOI:
10.26615/978-954-452-056-4_135
Bibkey:
Cite (ACL):
Fabio Tamburini. 2019. A Quantum-Like Approach to Word Sense Disambiguation. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019), pages 1176–1185, Varna, Bulgaria. INCOMA Ltd..
Cite (Informal):
A Quantum-Like Approach to Word Sense Disambiguation (Tamburini, RANLP 2019)
Copy Citation:
PDF:
https://aclanthology.org/R19-1135.pdf