Efficient relation extraction via quantum reinforcement learning
Abstract Most existing relation extraction methods only determine the relation type after identifying all entities, thus not fully modeling the interaction between relation-type recognition and entity mention detection. This article introduces a novel paradigm for relation extraction by treating rel...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer
2024-02-01
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| Serie: | Complex & Intelligent Systems |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1007/s40747-024-01381-8 |
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