This is 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 com- plex word and sentence embeddings based on the Paragraph Vectors algorithm. De- spite 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.
Tamburini, F. (2019). QWSD.
QWSD
Tamburini, F.
2019
Abstract
This is 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 com- plex word and sentence embeddings based on the Paragraph Vectors algorithm. De- spite 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.File in questo prodotto:
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